distraction detection algorithms

Machine-learning and computer-vision methods that classify whether a driver is distracted versus attentive, recognizing secondary-task engagement such as phone use, texting, reaching, or eyes-off-road behavior from cabin video, hand/head pose, or vehicle signals. Unlike drowsiness_detection_algorithms (fatigue) and gaze_based_attention_detection (a gaze-only attention signal), the detection target is distraction from competing tasks, using any sensing modality.

2403 paper(s) · ranked by relevance to this topic

1. Driver Distraction Detection Methods: A Literature Review and Framework · 2021 · Kashevnik, Alexey et al. · archived
2. A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data ↗ · 2019 · Osman, Osama A. et al. · indexed
3. Body Pose and Context Information for Driver Secondary Task Detection ↗ · 2018 · Martin, Manuel et al. · indexed
4. Computer vision‐based recognition of driver distraction: A review ↗ · 2021 · Moslemi, Negar et al. · indexed
5. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
6. Robust Deep Learning-Based Driver Distraction Detection and Classification ↗ · 2021 · Ezzouhri, Amal et al. · indexed
7. Detection of driver engagement in secondary tasks from observed naturalistic driving behavior ↗ · 2017 · Ye, Mengqiu et al. · indexed
8. Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic ↗ · 2018 · Aksjonov, Andrei et al. · indexed
9. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
10. Drive-Net: Convolutional Network for Driver Distraction Detection ↗ · 2018 · Majdi, Mohammed S. et al. · indexed
11. Detection and Recognition of Driver Distraction Using Multimodal Signals ↗ · 2022 · Das, Kapotaksha et al. · indexed
12. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
13. Detecting driver distraction · 2018 · Liang, Yulan · archived
14. Driver Distraction Detection with a Camera Vision System ↗ · 2007 · Kutila, Matti et al. · indexed
15. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al. · archived
16. Driver distraction detection and recognition using RGB-D sensor · 2015 · Craye, Celine et al. · archived
17. A Method for Detection and Evaluation of Driver Distraction Induced by In-Vehicle Information Systems ↗ · 2018 · Aksjonov, Andrei et al. · indexed
18. A Comprehensive Review of Driver’s Attention and the Evaluation Methods · 2021 · Abbasi, Elahe et al. · archived
19. Driver Distraction Detection Using Artificial Intelligence and Smart Devices · 2024 · Papatheocharous, Efi et al. · archived
20. Classification of Human Driver Distraction Using 3D Convolutional Neural Networks ↗ · 2023 · Kwakye, Kelvin et al. · indexed
21. Tracking-based detection of driving distraction from vehicular interior video ↗ · 2016 · Billah, Tashrif et al. · indexed
22. Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures ↗ · 2019 · McDonald, Anthony D. et al. · indexed
23. Analysis of driver behaviors during common tasks using frontal video camera and CAN-Bus information ↗ · 2011 · Jain, Jinesh J et al. · indexed
24. Algorithm for Distracted Driver Detection and Alert Using Deep Learning ↗ · 2021 · Ankit Pal et al. · indexed
25. Using Naturalistic Vehicle-Based Data to Predict Distraction and Environmental Demand ↗ · 2019 · Kanaan, Dina et al. · indexed
26. Detection of Driver Cognitive Distraction Using Machine Learning Methods ↗ · 2023 · Misra, Apurva et al. · indexed
27. Driver Distraction Recognition using 3D Convolutional Neural Networks ↗ · 2019 · Moslemi, Negar et al. · indexed
28. The Detection of Visual Distraction using Vehicle and Driver-Based Sensors ↗ · 2016 · Schwarz, Chris et al. · indexed
29. Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach · 2023 · Yang, Haohan et al. · archived
30. Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks ↗ · 2010 · Ersal, Tulga et al. · indexed
31. Recognition of Manual Driving Distraction Through Deep-Learning and Wearable Sensing · 2019 · Li, Li et al. · archived
32. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
33. Driver distraction detection by in-vehicle signal processing ↗ · 2014 · Im, Seongsu et al. · indexed
34. Multimodal Detection of Driver Distraction · 2017 · Eskenazi, Maxine et al. · archived
35. Noncontact Multimodal Sensing for Driver Distraction Detection via Behavioral-Physiological Fusion ↗ · 2025 · Sun, Yuheng et al. · indexed
36. Driver distraction detection via multi‐scale domain adaptation network ↗ · 2023 · Wang, Jing et al. · indexed
37. Driver Behavior Classification System Analysis Using Machine Learning Methods ↗ · 2021 · Ghandour, Raymond et al. · indexed
38. Driver distraction recognition with pose-aware two-stream convolutional neural network ↗ · 2023 · Tao, Chenghao et al. · indexed
39. Real-Time Detection of Distracted Driving Behaviors Using Naturalistic Driving Study Data ↗ · 2023 · Ju, Yi et al. · indexed
40. Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms ↗ · 2010 · Fabio, Tango et al. · indexed
41. Video-based detection and analysis of driver distraction and inattention ↗ · 2014 · Yun, Yixiao et al. · indexed
42. Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition ↗ · 2021 · Wu, Mingyan et al. · indexed
43. Transfer Learning-based Driver Distraction Detection ↗ · 2023 · Goel, Lipika et al. · indexed
44. Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang · archived
45. Driver Distraction Detection with a Two-stream Convolutional Neural Network ↗ · 2020 · Ma, Yuefeng et al. · indexed
46. Driver Activity Recognition Using Deep Learning and Human Pose Estimation ↗ · 2021 · Cetinkaya, Mert et al. · indexed
47. Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities · 2024 · Usman, Sheikh Muhammad et al. · archived
48. Detection of Distracted Driver Using Convolutional Neural Network ↗ · 2023 · Vamshi, B. et al. · indexed
49. Lightweight Skeleton-Based Driver Distraction Detection Using Geometric Features and Subject-Independent Learning ↗ · 2026 · Abakar, Abakar Abbas et al. · indexed
50. Driver Movement Patterns Indicate Distraction and Engagement ↗ · 2017 · Radwin, Robert G. et al. · indexed
51. Driver Distraction Analysis Using Convolutional Neural Networks ↗ · 2018 · Kumari, Manjula et al. · indexed
52. Driver Distraction Detection and Identity Recognition in Real-Time ↗ · 2010 · Zeng, Jinhua et al. · indexed
53. Simultaneous analysis of driver behaviour and road condition for driver distraction detection ↗ · 2011 · Rezaei, Mahdi et al. · indexed
54. An On-board Monitoring System for Driving Fatigue and Distraction Detection ↗ · 2021 · Dong, Bing-Ting et al. · indexed
55. Driver Distraction Detection Based on the True Driver’s Focus of Attention ↗ · 2022 · Huang, Tao et al. · indexed
56. Detecting Driver Distraction Using Deep-Learning Approach ↗ · 2021 · A. AlShalfan, Khalid et al. · indexed
57. Dimensionally improved residual neural network to detect driver distraction in real time ↗ · 2021 · Balamurugan, M et al. · indexed
58. Assessment of Secondary Tasks Based on Drivers’ Eye-Movement Features · 2020 · Yao, Ying et al. · archived
59. Driver Distraction Detection Based on Large Kernel Convolution and Attention Mechanism ↗ · 2026 · Wang, Tao et al. · indexed
60. Distracted Driver Detection: Deep Learning vs Handcrafted Features ↗ · 2017 · Hssayeni, Murtadha D et al. · indexed
61. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
62. Visual-Manual Distraction Detection Using Driving Performance Indicators With Naturalistic Driving Data ↗ · 2018 · Li, Zhaojian et al. · indexed
63. An Efficient Approach to Detect Driver Distraction during Mobile Phone Usage ↗ · 2018 · Sawhney, Medha et al. · indexed
64. YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors ↗ · 2026 · Yu, Zhichao et al. · indexed
65. Classification of Driver Distraction Risk Levels: Based on Driver’s Gaze and Secondary Driving Tasks ↗ · 2022 · Zheng, Lili et al. · indexed
66. TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition ↗ · 2021 · Liu, Dichao et al. · indexed
67. Explainable Driver Activity Recognition Using Video Transformer in Highly Automated Vehicle ↗ · 2023 · Sonth, Akash et al. · indexed
68. Driving distraction detection based on gaze activity ↗ · 2021 · Zhang, Yingji et al. · indexed
69. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · Miller, Marty et al. · archived
70. Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach ↗ · 2019 · Xing, Yang et al. · indexed
71. Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals ↗ · 2020 · Gjoreski, Martin et al. · indexed
72. Driver Distraction Recognition Using Wearable IMU Sensor Data ↗ · 2021 · Sun, Wencai et al. · indexed
73. Driver Distraction Recognition Based on CBAM Attention Mechanism ↗ · 2022 · Wei, Yiying et al. · indexed
74. Distracted driver detection using convolutional neural network ↗ · 2024 · Ruthuparna, M. P. et al. · indexed
75. Driver Distraction Identification with an Ensemble of Convolutional Neural Networks ↗ · 2019 · Eraqi, Hesham M. et al. · indexed
76. Driver Distraction Behavior Detection Method Based on Deep Learning ↗ · 2020 · Mao, Peng et al. · indexed
77. Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving · 2016 · Zhang, Yu et al. · archived
78. A Temporal–Spatial Deep Learning Approach for Driver Distraction Detection Based on EEG Signals ↗ · 2022 · Li, Guofa et al. · indexed
79. CAT-CapsNet: A Convolutional and Attention Based Capsule Network to Detect the Driver’s Distraction ↗ · 2023 · Mittal, Himanshu et al. · indexed
80. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
81. Real-time driver distraction recognition: A hybrid genetic deep network based approach ↗ · 2023 · Aljohani, Abeer. A. · indexed
82. Lightweight Deep Driver Distraction Recognition Network ↗ · 2024 · Wu, Yutian et al. · indexed
83. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
84. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation · 2023 · Regan, Michael A. et al. · archived
85. Real Time Detection of driver distraction using CNN ↗ · 2020 · Jamsheed V., Abdul et al. · indexed
86. Classification of Driver's Neutral and Cognitive Distraction States Based on Peripheral Vehicle Behavior in Driver's Gaze Transition ↗ · 2016 · Hirayama, Takatsugu et al. · indexed
87. Automated System for Detecting Distracted Driver ↗ · 2018 · Unadkat, Vyom et al. · indexed
88. A Review on Driver Distraction Detection Methods ↗ · 2020 · Vismaya, U.K et al. · indexed
89. Comparing Pupil Dilation, Head Movement, and EEG for Distraction Detection of Drivers ↗ · 2018 · Prabhakar, Gowdham et al. · indexed
90. (Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework · 2023 · Greer, Ross et al. · archived
91. Heatmap-Based Method for Estimating Drivers’ Cognitive Distraction ↗ · 2020 · Musabini, Antonyo et al. · indexed
92. Real-time monitoring of driver distraction: State-of-the-art and future insights · 2023 · Michelaraki, Eva et al. · archived
93. ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection · 2024 · Ma, Yunsheng et al. · archived
94. Driver Distraction Behavior Detection Framework Based on the DWPose Model, Kalman Filtering, and Multi-Transformer ↗ · 2024 · Shi, Xiaofen · indexed
95. A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition · 2020 · Fasanmade, Adebamigbe et al. · archived
96. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
97. Automatic Driver Head State Estimation in Challenging Naturalistic Driving Videos ↗ · 2017 · Smith, Brandon M. et al. · indexed
98. Predicting Environmental Demand and Secondary Task Engagement using Vehicle Kinematics from Naturalistic Driving Data ↗ · 2018 · Risteska, Martina et al. · indexed
99. Automatic detection of driver's awareness with cognitive task from driving behavior ↗ · 2016 · Chakraborty, Basabi et al. · indexed
100. Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning ↗ · 2023 · Muthuswamy, Anirudh et al. · indexed
101. Driver Distraction Detection and Recognition ↗ · 2020 · Chinta, Kiran Kumar et al. · indexed
102. The impact of secondary tasks on drivers during naturalistic driving: Analysis of EEG dynamics ↗ · 2016 · Alizadeh, Vahid et al. · indexed
103. Retracted: Distracted Driver Posture Recognition ↗ · 2022 · Shankar, V. Bhanu et al. · indexed
104. Deep learning based driver distraction: A review of the literature ↗ · 2022 · Almutalib, Wijdan Abd Alhussain Abd et al. · indexed
105. A Driver Distraction Detection Method Based on Convolutional Neural Network ↗ · 2022 · Wei, Chuheng et al. · indexed
106. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
107. Driver Distraction Recognition Based on Smartphone Sensor Data ↗ · 2018 · Xie, Jie et al. · indexed
108. DistractNet: a deep convolutional neural network architecture for distracted driver classification · 2022 · Nasri, Ismail et al. · archived
109. Distraction detection of driver based on EEG signals in a simulated driving with alternative secondary task ↗ · 2021 · Yan, Lirong et al. · indexed
110. Optimally-Weighted Multi-Scale Local Feature Fusion Network for Driver Distraction Recognition ↗ · 2022 · Fan, Li Shao et al. · indexed
111. A Transfer Learning-Based Framework for Real-Time Driver Distraction Detection on Edge Devices ↗ · 2026 · Singh, Yuvraj et al. · indexed
112. Representational Alignment for Multimodal Distracted Driving Detection: Parameter-efficient Adaptation of a Unified Embedding Space ↗ · 2026 · Dontoh, Anthony et al. · indexed
113. Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network ↗ · 2022 · Dong, Bing-Ting et al. · indexed
114. Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al. · indexed
115. Driver Distraction Detection Using Advanced Deep Learning Technologies Based on Images ↗ · 2022 · Li, Guofa et al. · indexed
116. Distracted driving detection by sensing the hand gripping of the phone ↗ · 2021 · Wang, Ruxin et al. · indexed
117. Identification of Driver Distraction Based on SHRP2 Naturalistic Driving Study ↗ · 2021 · Liu, Zhiqiang et al. · indexed
118. SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions ↗ · 2022 · Martínez Beltrán, Enrique Tomás et al. · indexed
119. DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al. · indexed
120. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
121. Driver cognitive distraction detection: Feature estimation and implementation ↗ · 2007 · Kutila, M H et al. · indexed
122. Multi-Emotion Features Extraction for Driver Distraction Detection ↗ · 2024 · Chen, Sheng-Tao et al. · indexed
123. Automated methods of detecting driver distractions ↗ · 2025 · Reimer, Bryan · indexed
124. Deep Learning Based Driver Drowsiness Detection in Real Time Environment - An Enhanced Approach ↗ · 2025 · Ajay, Ashin et al. · indexed
125. Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed ↗ · 2017 · Hansen, John H.L. et al. · indexed
126. Distracted driver detection using compressed energy efficient convolutional neural network ↗ · 2022 · Alzubi, Jafar A. et al. · indexed
127. A Deep Learning Approach to Driver Distraction Detection of Using Mobile Phone ↗ · 2019 · Xiong, Qunfang et al. · indexed
128. Driver Distraction Behavior Recognition for Autonomous Driving: Approaches, Datasets and Challenges ↗ · 2024 · Tan, Dayi et al. · indexed
129. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement ↗ · 2025 · Kashyap, Lekhapriya Dheeraj et al. · indexed
130. Driver Distraction Recognition Based on the Information Bottleneck Theory and Graph Convolutional Networks ↗ · 2025 · Zhang, Ji et al. · indexed
131. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
132. Driver Distraction Detection Using CNN ↗ · 2022 · Survi, Hrithik Goud · indexed
133. Bio-Mechanical Distracted Driver Recognition Based on Stacked Autoencoder and Convolutional Neural Network ↗ · 2019 · Assefa, Addis Abebe et al. · indexed
134. Multimodal Polynomial Fusion for Detecting Driver Distraction ↗ · 2018 · Du, Yulun et al. · indexed
135. Distracted Driver Recognizer with Simple and Efficient Convolutional Neural Network for Real-time System ↗ · 2021 · Nguyen, Duy-Linh et al. · indexed
136. Distracted Driver Detection and Driver Rating System using Deep Learning ↗ · 2023 · Gusain, Amit et al. · indexed
137. CRNet: A Driver Distraction Detection Model Based on Cascaded ResNet Networks and Attention Mechanisms ↗ · 2025 · Qin, Binbin · indexed
138. Text and Voice Message Distraction Detection: A Machine Learning Approach Using Vehicle Trajectory Data ↗ · 2024 · Taherpour, Abolfazl et al. · indexed
139. Sistema Automático Para la Detección de Distracción y Somnolencia en Conductores por Medio de Características Visuales Robustas ↗ · 2017 · Villán, Alberto Fernández et al. · indexed
140. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
141. Driver behavior recognition based on attention module and bilinear fusion network ↗ · 2022 · Ma, Chenkai et al. · indexed
142. Driver Behavior Monitoring Using Tools of Deep Learning and Fuzzy Inferencing ↗ · 2018 · Ou, Chaojie et al. · indexed
143. SPIDER 2.0: Driver Distraction and Visual Attention · 2025 · Strayer, David L. · archived
144. A Novel Driver Distraction Behavior Detection Method Based on Self-Supervised Learning With Masked Image Modeling ↗ · 2024 · Zhang, Yingzhi et al. · indexed
145. Towards Imbalanced Multiclass Driver Distraction Identification ↗ · 2022 · Das, Kapotaksha et al. · indexed
146. Beyond just keeping hands on the wheel: Towards visual interpretation of driver hand motion patterns ↗ · 2014 · Ohn-Bar, Eshed et al. · indexed
147. Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data ↗ · 2014 · Kuo, Jonny et al. · indexed
148. Comparative Analysis of Deep Learning Architectures for Real-Time Driver Distraction Classification: Spatial, Temporal, and Attention-Based Approaches ↗ · 2026 · Seong, Younho et al. · indexed
149. Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving · 2016 · Bingham, C. Raymond et al. · archived
150. Detection of Driver Distraction using YOLOv5 Network ↗ · 2021 · Atas, Kubilay et al. · indexed
151. Fast Detection of Handheld Phone-Distracted Driving by Sensing the Driver's Hand-Grip ↗ · 2024 · Wang, Ruxin et al. · indexed
152. Distracted Driver Behaviour Recognition with Computer Vision using Deep Convolutional Neural Network in Real World Application ↗ · 2021 · Ananthi, M. et al. · indexed
153. Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al. · indexed
154. Preventing Handheld Phone Distraction for Drivers by Sensing the Gripping Hand · 2021 · Wang, Ruxin et al. · archived
155. Context-Aware Driver Distraction Severity Classification using LSTM Network ↗ · 2019 · Fasanmade, Adebamigbe et al. · indexed
156. Holistic Driver Monitoring: A Multi-Task Approach for In-Cabin Driver Attention Evaluation through Multi-Camera Data ↗ · 2024 · Palo, Patitapaban et al. · indexed
157. An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents ↗ · 2024 · Santos, Maykol et al. · indexed
158. Driver inattention monitoring system for intelligent vehicles: A review ↗ · 2009 · Dong, Yanchao et al. · indexed
159. Driver Cognitive Distraction Detection Using Driving Performance Measures ↗ · 2012 · Jin, Lisheng et al. · indexed
160. A Lightweight Model for Driver Distraction Classification ↗ · 2023 · Khadraoui, Abdelhak et al. · indexed
161. Distracted Driving Behavior Recognition Through Posture Estimation ↗ · 2026 · Lv, Hui et al. · indexed
162. Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach ↗ · 2019 · Kose, Neslihan et al. · indexed
163. Enhanced Generalization Performance in Deep Learning for Monitoring Driver Distraction: A Systematic Review ↗ · 2024 · Joel John M. et al. · indexed
164. Deep Learning for Real-Time Distracted Driving Detection ↗ · 2023 · Kamran, Danial · indexed
165. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
166. Texting and Driving Recognition leveraging the Front Camera of Smartphones · 2023 · Montori, Federico et al. · archived
167. A Multimodal Recurrent Model for Driver Distraction Detection ↗ · 2024 · Ciesla, Marcel et al. · indexed
168. Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS · 2012 · Gil-Jiménez, Pedro et al. · archived
169. A convolutional neural network -based driver monitoring system for drowsiness and distraction detection ↗ · 2026 · Benkouider, Sara et al. · indexed
170. A visual recognition method for the automatic detection of distracted driving behavior based on an attention mechanism ↗ · 2023 · Du, Yingjie et al. · indexed
171. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
172. A Hybrid Deep Learning Approach for Driver Distraction Detection ↗ · 2020 · Mafeni Mase, Jimiama et al. · indexed
173. Detecting and mitigating driver distraction with motion capture technology: Distracted driving warning system ↗ · 2013 · Gallahan, S. L. et al. · indexed
174. Exploring Naturalistic Driving Data for Distracted Driving Measures · 2017 · Ishak, Sherif S. et al. · archived
175. Non‐instinct detection of cellphone usage from lane‐keeping performance based on eXtreme gradient boosting and optimal sliding windows ↗ · 2022 · Liu, Tao et al. · indexed
176. Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving ↗ · 2022 · Marx, Cyril et al. · indexed
177. Methods and Tools for Monitoring Driver's Behavior · 2022 · Jan, Muhammad Tanveer et al. · archived
178. A Novel Driver Fatigue and Distraction Detection Method Based on Improved Swin Transformer ↗ · 2024 · Song, CJ et al. · indexed
179. Driver Distraction Detection using Deep Learning and Computer Vision ↗ · 2019 · Kusuma, S. et al. · indexed
180. Review of real-time visual driver distraction detection algorithms ↗ · 2010 · Ahlström, Christer et al. · indexed
181. L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms ↗ · 2024 · Guo, Zizheng et al. · indexed
182. Is the Technology in Your Car Driving You to Distraction? · 2015 · Strayer, David L. · archived
183. Domain Adaptive Driver Distraction Detection Based on Partial Feature Alignment and Confusion-Minimized Classification ↗ · 2024 · Li, Guofa et al. · indexed
184. Improving Driving Safety by Preventing Driver Distraction ↗ · 2021 · Richter, Yiftach et al. · indexed
185. Physiological measurement used in real time experiment to detect driver cognitive distraction ↗ · 2014 · Azman, Afizan et al. · indexed
186. Using a Deep Convolutional Neural Network to Identify Vehicle Driver Activity ↗ · 2024 · Shynu T et al. · indexed
187. Driver Behaviors Recognizer Based on Light-Weight Convolutional Neural Network Architecture and Attention Mechanism ↗ · 2022 · Nguyen, Duy-Linh et al. · indexed
188. Driver cognitive distraction recognition ↗ · 2022 · Zhang, Min et al. · indexed
189. Modeling Driver Distraction from Cognitive Tasks ↗ · 2019 · Salvucci, Dario D. · indexed
190. Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al. · indexed
191. Distraction Assessment Methods Based on Visual Behavior and Event Detection ↗ · 2008 · Victor, Trent et al. · indexed
192. Distracted Driver Detection Using Deep Learning ↗ · 2022 · Bahari, Muhammad Saiful Haqem Saiful et al. · indexed
193. Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks ↗ · 2018 · Dehzangi, Omid et al. · indexed
194. Multi-modal system to detect on-the-road driver distraction ↗ · 2018 · Dehzangi, Omid et al. · indexed
195. Can we predict driver distraction without driver psychophysiological state? ↗ · 2019 · de Salis, Emmanuel et al. · indexed
196. Detection of driver distraction based on temporal relationship between eye-gaze and peripheral vehicle behavior ↗ · 2012 · Hirayama, Takatsugu et al. · indexed
197. The feasibility of detecting phone-use related driver distraction ↗ · 2001 · Waard, Dick de et al. · indexed
198. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
199. Driver hand activity analysis in naturalistic driving studies: challenges, algorithms, and experimental studies ↗ · 2013 · Ohn-Bar, Eshed et al. · indexed
200. Light-weight Convolutional Neural Network for Distracted Driver Classification ↗ · 2021 · Nguyen, Duy-Linh et al. · indexed
201. An XGBoost approach to detect driver visual distraction based on vehicle dynamics ↗ · 2023 · Guo, Yongqiang et al. · indexed
202. Driver Distraction Detection for Daytime and Nighttime with Unpaired Visible and Infrared Image Translation ↗ · 2023 · Shen, Hong-Ze et al. · indexed
203. Effective feature extraction from driving data for detection of danger awareness ↗ · 2019 · Nakano, Kotaro et al. · indexed
204. Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects ↗ · 2021 · Banerjee, Sandipan et al. · indexed
205. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
206. Driver's distraction detection based on gaze estimation ↗ · 2016 · Maralappanavar, Shweta et al. · indexed
207. Multiple Scale Faster-RCNN Approach to Driver’s Cell-Phone Usage and Hands on Steering Wheel Detection ↗ · 2016 · Le, T. Hoang Ngan et al. · indexed
208. Real-Time Distracted Driver Detection on Embedded Edge Devices Using Multi-Region CNN Embeddings ↗ · 2026 · Mohan, Rushil · indexed
209. Retraction Notice: Distracted Driver Posture Recognition ↗ · 2022 · Shankar, V. Bhanu et al. · indexed
210. Distracted Driver Behavior Detection Based-on An Improved YOLOX Framework ↗ · 2022 · Wei, Yajuan et al. · indexed
211. Driver Activity Classification Using Generalizable Representations from Vision-Language Models · 2024 · Greer, Ross et al. · archived
212. Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion ↗ · 2025 · Guan, Deyong et al. · indexed
213. EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism ↗ · 2023 · Khan, Taimoor et al. · indexed
214. Accurate Head Pose Estimation-Based SO(3) and Orientation Tokens for Driver Distraction Detection ↗ · 2024 · Zhao, Xiong et al. · indexed
215. Driver distraction detection using single convolutional neural network ↗ · 2017 · Kim, Whui et al. · indexed
216. Visual context capture and analysis for driver attention monitoring ↗ · 2005 · McCall, J.C. et al. · indexed
217. Cognitive Distraction: Something to Think About · 2013 · AAA Foundation for Traffic Safety · archived
218. A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study ↗ · 2017 · Aksjonov, Andrei et al. · indexed
219. Time-Dependency-Aware Driver Distraction Detection Using Linear-Chain Conditional Random Fields ↗ · 2020 · He, Baotian et al. · indexed
220. Defining Driver Distraction · 2008 · Lee, John et al. · archived
221. Body sensor networks for driver distraction identification ↗ · 2008 · Sathyanarayana, Amardeep et al. · indexed
222. A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference ↗ · 2026 · Essahraui, Siham et al. · indexed
223. Detection of In-car Driver Distraction Activities With Recommendations ↗ · 2024 · Aljasim, Mustafa · indexed
224. Second-generation UMTRI coding scheme for classifying driver tasks in distraction studies and application to the ACAS FOT video clips. · 2006 · Yee, Serge et al. · archived
225. DualStream-AttnXGS: An Attention-Enhanced Dual-Stream Model Based on Human Keypoint Recognition for Driver Distraction Detection ↗ · 2025 · He, Zhuo et al. · indexed
226. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
227. DS-Model: Dual-Stream Driver Distraction Detection Model Based on Guiding Learning ↗ · 2026 · Qin, Binbin et al. · indexed
228. Driver Distraction Recognition Based on Transfer Learning and Feature Fusion ↗ · 2021 · Chen, Manzhi et al. · indexed
229. Hierarchical Automated Machine Learning Approach for Self-Optimizable Driving Distraction Recognition Based on Driver’s Lane-Keeping Performance ↗ · 2023 · Chai, Chen et al. · indexed
230. Pyramid Scene Parsing Network for Driver Distraction Classification ↗ · 2023 · Khadraoui, Abdelhak et al. · indexed
231. Driver Handheld Cell Phone Usage Detection ↗ · 2018 · Elings, J.W. · indexed
232. Detecting Driver Distraction Using Smartphones ↗ · 2015 · Paruchuri, Vamsi et al. · indexed
233. “Fitting Data”: A Case Study on Effective Driver Distraction State Classification ↗ · 2019 · Zhang, Yu et al. · indexed
234. Head, Eye, and Hand Patterns for Driver Activity Recognition ↗ · 2014 · Ohn-Bar, Eshed et al. · indexed
235. Enhancing Driver Distraction Recognition Using Generative Adversarial Networks ↗ · 2020 · Ou, Chaojie et al. · indexed
236. Towards Operationalizing Driver Distraction · 2013 · Foley, James P et al. · archived
237. A Distracted Driving Detection Model Based On Driving Performance ↗ · 2023 · Fu, Bingxu et al. · indexed
238. What are Australian drivers doing behind the wheel? An overview of secondary task data from the Australian Naturalistic Driving Study · 2019 · Young, Kristie et al. · archived
239. Driver Alertness and Awareness Monitoring System ↗ · 2023 · Raja, Vedanth et al. · indexed
240. Highly Discriminative Driver Distraction Detection Method Based on Swin Transformer ↗ · 2024 · Zhang, Ziyang et al. · indexed
241. Detecting Driver Behavior Using Stacked Long Short Term Memory Network With Attention Layer ↗ · 2021 · Monjezi Kouchak, Shokoufeh et al. · indexed
242. The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention ↗ · 2022 · Jha, Sumit et al. · indexed
243. Recognizing driver inattention by convolutional neural networks ↗ · 2015 · Yan, Chao et al. · indexed
244. A Wearable Acoustic Sensor Based Driver Distraction Behaviour Recognition ↗ · 2021 · Zhao, Yi et al. · indexed
245. A distraction index for quantification of driver eye glance behavior: A study using SHRP2 NEST database ↗ · 2019 · Bakhit, Peter R. et al. · indexed
246. Driver Distraction Monitoring and Alerting System ↗ · 2019 · Walavalkar, Abhishek et al. · indexed
247. Lightweight Driver Monitoring System Based on Multi-Task Mobilenets ↗ · 2019 · Kim, Whui et al. · indexed
248. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
249. Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data ↗ · 2024 · Shajari, Arian et al. · indexed
250. Online Driver Distraction Detection Using Long Short-Term Memory ↗ · 2011 · Wollmer, M et al. · indexed
251. The Study of Driver Distraction Characteristic Detection Technology ↗ · 2010 · Zhiqiang, Liu et al. · indexed
252. Driver Safety Monitoring: Real-Time Detection Of Distraction And Drowsiness ↗ · 2024 · Dhanapandi, V et al. · indexed
253. Assessing Different Methods for Detection of Distracted Driving ↗ · 2023 · Woods, Amber N. et al. · indexed
254. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
255. Using Bidirectional Long Short Term Memory with Attention Layer to Estimate Driver Behavior ↗ · 2019 · Monjezi Kouchak, Shokoufeh et al. · indexed
256. Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al. · indexed
257. The Distracted Driver ↗ · 2011 · Hurts, Karel et al. · indexed
258. E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model ↗ · 2022 · Aljasim, Mustafa et al. · indexed
259. Convolutional Neural Network or Vision Transformer? Benchmarking Various Machine Learning Models for Distracted Driver Detection ↗ · 2021 · Koay, Hong Vin et al. · indexed
260. Analyzing the relationship between distracted driving and eye movement using multimodal data collected during car driving ↗ · 2022 · Uraki, Daigo et al. · indexed
261. Estimation of Cognitive Distraction from Driver Gazing ↗ · 2017 · Yoshizama, Akira et al. · indexed
262. Frequency of distracting tasks people do while driving : an analysis of the ACAS FOT data. · 2007 · Oberholtzer, Jessica et al. · archived
263. Evaluation and Validation of Distraction Detection Algorithms on Multiple Data Sources ↗ · 2018 · Mehrotra, Shashank Kumar et al. · indexed
264. Detecting driver inattention in the absence of driver monitoring sensors ↗ · 2005 · Torkkola, K. et al. · indexed
265. HOG-LMPCA: A Lightweight Model for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al. · indexed
266. An Enhancement of the Driver Distraction Detection and Evaluation Method Based on Computational Intelligence Algorithms ↗ · 2018 · Aksjonov, Andrei et al. · indexed
267. Machine Learning-Based Detection of Driver Distraction by Capacitive Electrocardiogram Signals ↗ · 2024 · Skoric, Tamara et al. · indexed
268. Deep Learning-Based Real-Time Driver Cognitive Distraction Detection ↗ · 2025 · Fresta, Matteo et al. · indexed
269. Human-centric analysis of driver inattention ↗ · 2013 · Taib, Ronnie et al. · indexed
270. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
271. Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review ↗ · 2023 · Papatheocharous, Efi et al. · indexed
272. Driver inattention detection methods: A review ↗ · 2012 · Arun, S et al. · indexed
273. Driver Visual Distraction Detection Using Unsupervised Learning Techniques ↗ · 2023 · Hamieh, Salam et al. · indexed
274. Driver Cognitive Distraction Classification While Using Eco-driving Applications · 2024 · Lin, Rui et al. · archived
275. A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera ↗ · 2026 · Kareem, Emad · indexed
276. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
277. Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder ↗ · 2025 · Hassam, Dhulfekar Dhurgham et al. · indexed
278. Driver distraction : a review of the literature ↗ · 2007 · Kircher, Katja · indexed
279. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
280. Survey and Synthesis of State of the Art in Driver Monitoring · 2021 · Halin, Anaïs et al. · archived
281. Optimal feature tuning model by variants of convolutional neural network with LSTM for driver distract detection in IoT platform ↗ · 2025 · Farhan, Hameed Mutlag et al. · indexed
282. All In One Network for Driver Attention Monitoring ↗ · 2020 · Yang, Dawei et al. · indexed
283. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
284. Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG · 2022 · Zuo, Xin et al. · archived
285. Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data ↗ · 2018 · Yadawadkar, Sujay et al. · indexed
286. AB-DLM: An Improved Deep Learning Model Based on Attention Mechanism and BiFPN for Driver Distraction Behavior Detection ↗ · 2022 · Li, Taiguo et al. · indexed
287. Assessing cognitive distraction in the automobile · 2015 · Strayer, DL et al. · archived
288. Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review ↗ · 2017 · Yusoff, Norhasliza M. et al. · indexed
289. Detection of Driver Behaviours using Convolutional Neural Network with Modified Inception Module ↗ · 2023 · Kadar, Jimmy Abdel et al. · indexed
290. Video-Based Driver’s Hand Tracking using Fast Normalized Cross Coefficient with Improved Computational Efficiency ↗ · 2019 · Li, Li et al. · indexed
291. Camera Based Driver Distraction System Using Image Processing ↗ · 2018 · Rathod, Vaibhav et al. · indexed
292. A Dynamic Multi-Level Feature Alignment Method for Domain Adaptive Driver Distraction Detection ↗ · 2026 · Guo, Zizheng et al. · indexed
293. Research on safety evaluation model for in-vehicle secondary task driving ↗ · 2015 · Jin, Lisheng et al. · indexed
294. Towards Sustainable Safe Driving: A Multimodal Fusion Method for Risk Level Recognition in Distracted Driving Status ↗ · 2023 · Chen, Huiqin et al. · indexed
295. A hybrid Bayesian Network approach to detect driver cognitive distraction ↗ · 2014 · Liang, Yulan et al. · indexed
296. Multimodal Approach for Inattentive Driver Detection ↗ · 2019 · Al-Naimi, Ibrahim et al. · indexed
297. Driver Distraction in Commercial Vehicle Operations · 2010 · Olson, Rebecca L. et al. · archived
298. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
299. Detection of Distracted Driving Based on MultiGranularity and Middle-Level Features ↗ · 2020 · Tang, Min et al. · indexed
300. ResNet50 Architecture and AttenD Algorithm-based Driver Distraction Detection Method ↗ · 2025 · Liu, Xiaoyang et al. · indexed
301. Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks ↗ · 2023 · Doniec, Rafał et al. · indexed
302. Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System ↗ · 2022 · Riquelme, Fabi醤 et al. · indexed
303. Understanding the Effects of Distracted Driving and Developing Strategies to Reduce Resulting Deaths and Injuries: A Report to Congress · 2013 · Vegega, Maria et al. · archived
304. Driver’s cognitive distraction detection using AdaBoost on pattern recognition basis ↗ · 2008 · Miyaji, Masahiro et al. · indexed
305. Driver Distraction in Commercial Motor Vehicle Operations · 2017 · Hanowski, Richard J. et al. · archived
306. An Intelligent Driver Monitoring System ↗ · 2021 · Supraja, P. et al. · indexed
307. Driver Distraction Analysis on Naturalistic Heavy Vehicle Data: Task 2: Analysis of Sleeper Berth Data for Distraction Events – Draft Final Report · 2001 · Hanowski, Richard J. et al. · archived
308. Prediction of Crash Risk based on Driving Behaviour ↗ · 2022 · Manjunath, Abhijna · indexed
309. An efficient multi-task learning CNN for driver attention monitoring ↗ · 2024 · Yang, Dawei et al. · indexed
310. Assessing driver distraction from in-vehicle information system: an on-road study exploring the effects of input modalities and secondary task types · 2024 · Zhong, Qi et al. · archived
311. RMTSE: A Spatial-Channel Dual Attention Network for Driver Distraction Recognition ↗ · 2025 · He, Junyi et al. · indexed
312. Driver Distractions In Commercial Vehicle Operations · 2009 · Olson, Rebecca L. et al. · archived
313. Nonintrusive Detection of Driver Cognitive Distraction in Real Time Using Bayesian Networks ↗ · 2007 · Liang, Yulan et al. · indexed
314. Towards a Real-Time Driver Distraction Detection framework: A Novel Ensemble CNN Approach ↗ · 2025 · Sara, Berrouk et al. · indexed
315. ICK-PANet: A Multiscale Driver Distraction Detection Network Based on Attention and Pyramid Convolution ↗ · 2026 · Qin, Binbin et al. · indexed
316. EVALUATION OF DRIVER DISTRACTION USING AN EVENT DETECTION PARADIGM ↗ · 2003 · Greenberg, Jeff et al. · indexed
317. Real time distracted driver detection using Xception architecture and Raspberry Pi ↗ · 2024 · Narayanan, Uma et al. · indexed
318. Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer ↗ · 2022 · Xie, Ziyang et al. · indexed
319. Fast Driver Distraction and Fatigue Detection Systems based on Multiple Facial Behavior ↗ · 2022 · Dai, Qiyuan et al. · indexed
320. Driver State and Behavior Detection Through Smart Wearables · 2021 · Tavakoli, Arash et al. · archived
321. Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control · 2016 · Schmitt, Felix et al. · archived
322. Image segmentation based on histogram of depth and an application in driver distraction detection ↗ · 2014 · Dinh, Tran Hiep et al. · indexed
323. Comparison of Two Eye-Gaze Based Real-Time Driver Distraction Detection Algorithms in a Small-Scale Field Operational Test · 2009 · Kircher, Katja et al. · archived
324. Real-Time CNN-Based Driver Distraction & Drowsiness Detection System ↗ · 2023 · Ali Almazroi, Abdulwahab et al. · indexed
325. An Observational Evaluation of Safety and Operations Resulting From Driver Distraction · 2015 · Romoser, Matthew R. E. et al. · archived
326. Non intrusive physiological measurement for driver cognitive distraction detection: Eye and mouth movements ↗ · 2010 · Azman, Afizan et al. · indexed
327. Research on Distracted Driving Identification of Truck Drivers Based on Simulated Driving Experiment ↗ · 2021 · Zhang, Weihao et al. · indexed
328. Determining the risk of driver-at-fault events associated with common distraction types using naturalistic driving data ↗ · 2021 · Liang, Ou Stella et al. · indexed
329. Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety ↗ · 2025 · Madhumita, S. et al. · indexed
330. Using a Layered Algorithm to Detect Driver Cognitive Distraction ↗ · 2013 · Liang, Yulan et al. · indexed
331. Various Approaches for Driver and Driving Behavior Monitoring: A Review ↗ · 2013 · Kang, Hang-Bong · indexed
332. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
333. Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning. · 2026 · Zambrano, Tamia et al. · archived
334. Towards detecting levels of alertness in drivers using multiple modalities ↗ · 2020 · Riani, Kais et al. · indexed
335. GA-XGBoost Driving Distraction State Classification Model Based on Non-Driving Related Tasks ↗ · 2022 · Bai, Yajie et al. · indexed
336. Driver Distraction Detection Using Machine Learning ↗ · 2024 · Dept. of IS&E, JNNCE, Shimoga, India et al. · indexed
337. Driver Distraction in Commercial Vehicle Operations · 2009 · Olson, R.L. et al. · archived
338. Detecting Driver Distraction · 2018 · Eskenazi, Maxine et al. · archived
339. Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review ↗ · 2024 · Fu, Shichen et al. · indexed
340. Edge-AttentionNet: Sobel-Enhanced Attention Network for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al. · indexed
341. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update · 2024 · Wright, Timothy J. et al. · archived
342. Real time distracted driver detection using Xception architecture and Raspberry Pi · 2024 · Narayanan, Uma et al. · archived
343. Detecting driver distraction using stimuli-response EEG analysis · 2019 · Bajwa, Garima et al. · archived
344. Driver Distraction Detection Algorithm Based on High-Order Global Interaction Features ↗ · 2025 · Zhang, Chuanghui · indexed
345. Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis · 2020 · Khattak, Asad J. et al. · archived
346. A Lightweight and Efficient Distracted Driver Detection Model Fusing Convolutional Neural Network and Vision Transformer ↗ · 2024 · Li, Zhao et al. · indexed
347. Driver Distraction: A Naturalistic Observation of Secondary Behaviors With the Use of Driver Assistance Systems · 2005 · Sayer, James R et al. · archived
348. The impact of road traffic context on secondary task engagement while driving · 2023 · Cuentas-Hernandez, Sandra et al. · archived
349. Driver Distraction in Commercial Vehicle Operations (TechBrief) · 2009 · NHTSA · archived
350. Understanding driver distraction associated with specific behavioural interactions with in-vehicle and portable technologies · 2017 · Imberger, K · archived
351. Look at the Driver, Look at the Road: No Distraction! No Accident! ↗ · 2014 · Rezaei, Mahdi et al. · indexed
352. Driver Distraction: Eye Glance Analysis and Conversation Workload · 2015 · Hickman, Jeffrey S. et al. · archived
353. Understanding head and hand activities and coordination in naturalistic driving videos ↗ · 2014 · Martin, Sujitha et al. · indexed
354. Crash and Near-Crash Risk Assessment of Distracted Driving and Engagement in Secondary Tasks: A Naturalistic Driving Study ↗ · 2018 · Bakhit, Peter R. et al. · indexed
355. Driver Distraction Assessment Using Driver Modeling ↗ · 2013 · Hermannstadter, Peter et al. · indexed
356. Prevalence and distribution of young driver distraction errors in naturalistic driving · 2014 · Carney, Cher et al. · archived
357. Driver Distraction Detection Based on Improved Swin Transformer ↗ · 2024 · Song, Cj et al. · indexed
358. Driver Distraction and Stress Detection Systems: A Review ↗ · 2020 · Ghandour, Raymond et al. · indexed
359. Measuring cognitive distraction in the automobile · 2013 · Strayer, DL et al. · archived
360. Event Detection: The Second Dimension of Driver Performance for Visual-Manual Tasks ↗ · 2012 · Young, Richard A. · indexed
361. Distracted Driving: Strategies and State of the Practices · 2019 · Mitran, Elisabeta et al. · archived
362. Real-time vision-based infotainment user determination for driver assistance ↗ · 2008 · Cheng, Shinko Y. et al. · indexed
363. Assessing the Ghanaian driver's susceptibility to distraction engagement · 2025 · Sam, Enoch F. · archived
364. A Comprehensive Examination of Machine Learning and Deep Learning Techniques for Driver Distraction Recognition ↗ · 2025 · Fan, Ruijie · indexed
365. An efficient temporal attention framework for real-time detection of unsafe driver behaviors ↗ · 2025 · Mohsin, Ahmed Raza et al. · indexed
366. Identifying distracted-driving events from on-road observations using a moving vehicle: A case study in New Jersey ↗ · 2022 · Sajid Hasan, Ahmed et al. · indexed
367. Driver Distraction Detection and Alert System Using Convolutional Neural Networks ↗ · 2024 · Ashritha, Ms. R Sai · indexed
368. Real-Time Driver Drowsiness and Distraction Detection System ↗ · 2026 · Suhas H S, Suhas H S · indexed
369. Deep learning–based eye tracking system to detect distracted driving ↗ · 2024 · Xin, Song et al. · indexed
370. Driver Distraction Detection using Transfer Learning ↗ · 2020 · Manpreet Oberoi et al. · indexed
371. Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos ↗ · 2015 · Seshadri, Keshav et al. · indexed
372. A Simulation Approach for Evaluating the Relative Safety Impact of Driver Distraction during Secondary Tasks ↗ · 2005 · Smith, David L. et al. · indexed
373. Multimodel System for Driver Distraction Detection and Elimination ↗ · 2022 · AbouOuf, Abdulrahman et al. · indexed
374. Driving Behaviour Detection Using Smart Steering Wheel: Supervised and Unsupervised Classification ↗ · 2023 · Abarghooei, Arash et al. · indexed
375. Detecting Distraction in Drivers using Electroencephalogram (EEG) Signals ↗ · 2020 · Kumar, S. Pradeep et al. · indexed
376. Investigating Problem of Distracted Drivers on Louisiana Roadways · 2018 · Sun, Xiaoduan et al. · archived
377. Driver Attention Monitoring Using Camera ↗ · 2026 · Srivastava, Vaibhav et al. · indexed
378. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
379. Distraction prediction based on eye movements and driving performance ↗ · 2025 · Li, Ran et al. · indexed
380. Prevalence and Distribution of Young Driver Distraction Errors in Naturalistic Driving · 2014 · Carney, Cher et al. · archived
381. Driver Distraction Monitoring and Adaptive Safety Warning Systems ↗ · 2008 · Hammoud, Riad I. et al. · indexed
382. Distracted Driver Detection with MobileVGG Network ↗ · 2023 · Zhu, Yueying · indexed
383. The Impact of driver distraction and secondary tasks with and without other co-occurring driving behaviors on the level of road traffic crashes ↗ · 2021 · Jazayeri, Ali et al. · indexed
384. Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures ↗ · 2023 · Lochbihler, Aidan et al. · indexed
385. Detecting driver drowsiness and distraction via FFT ↗ · 2011 · Qin, Huabiao et al. · indexed
386. Driver Distraction Injury Prevention Countermeasures‚ÄîPart 2 · 2008 · Regan, Michael et al. · archived
387. Distraction Detection in Automotive Environment using Appearance-based Gaze Estimation ↗ · 2022 · L.R.D, Murthy et al. · indexed
388. AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM · 2017 · Rothkrantz, Léon et al. · archived
389. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al. · indexed
390. Driver Distraction Detection Method Based on Continuous Head Pose Estimation ↗ · 2020 · Zhao, Zuopeng et al. · indexed
391. Investigating the Impact of Distracted Driving among Different Socio-Demographic Groups · 2019 · Jeihani, Mansoureh et al. · archived
392. Secondary Behavior of Drivers on Cell Phones ↗ · 2015 · Farmer, Charles M. et al. · indexed
393. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
394. Methodology for in-the-Wild Driver Monitoring Dataset Formation ↗ · 2022 · Bulygin, Alexandr et al. · indexed
395. Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
396. A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al. · archived
397. Automatic Detection of Certain Unwanted Driver Behavior ↗ · 2021 · Faizov, Boris et al. · indexed
398. The prevalence of and crash risk associated with primarily cognitive secondary tasks ↗ · 2019 · Dingus, Thomas A. et al. · indexed
399. Effects of In-Vehicle Secondary Distraction Tasks on Driving Performance: A Naturalistic Driving Study and Findings ↗ · 2018 · Ma, Yanli et al. · indexed
400. Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab · 2025 · Kujala, Tuomo et al. · archived
401. Dangerous Driving Behavior Detection Based on Computer Vision ↗ · 2025 · Lin, Huikai · indexed
402. End-To-End Driver Distraction Recognition Using Novel Low Lighting Support Dataset ↗ · 2020 · Saad, Mohamed H. et al. · indexed
403. A Metric To Quantify Attentional Workload In Dual Task Driving Conditions ↗ · 2017 · Weir, David H. et al. · indexed
404. Weighted Multi-Task Vision Transformer for Distraction and Emotion Detection in Driving Safety ↗ · 2024 · Wang, Yixiao et al. · indexed
405. The Relative Risks of Secondary Task Induced Driver Distraction ↗ · 2008 · Dingus, Thomas A. et al. · indexed
406. LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network ↗ · 2026 · Namachivayam, Abirami et al. · indexed
407. From Attention to Distraction: Driver State Analysis From an Engineering Perspective – A Review ↗ · 2025 · Uccello, Lorenzo et al. · indexed
408. Driver-Activity Recognition in the Context of Conditionally Autonomous Driving ↗ · 2015 · Braunagel, Christian et al. · indexed
409. Hybrid Convolutional-Transformer Neural Network for Driver Distraction Detection ↗ · 2023 · Li, Penghua et al. · indexed
410. Glance analysis of driver eye movements to evaluate distraction ↗ · 2002 · Sodhi, Manbir et al. · indexed
411. Driver Distraction Detection Based on Fusion Enhancement and Global Saliency Optimization ↗ · 2024 · Huang, Xueda et al. · indexed
412. Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses ↗ · 2018 · Dehzangi, Omid et al. · indexed
413. A Three-Stage Multimodal Approach to Driver Activity Recognition with RGB and Infrared Video Analysis ↗ · 2025 · Palo, Patitapaban et al. · indexed
414. Smart Detection System for Driver Distraction: Enhanced Support Vector Machine classifier using Analytical Hierarchy Process technique ↗ · 2023 · Singh, Hiteshwar et al. · indexed
415. A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al. · indexed
416. Classifying Driver Attention Level Using Logistic Regression and Support Vector Machine ↗ · 2021 · Farhat, Ana et al. · indexed
417. A closed-loop crash warning system based on heterogeneous cues ↗ · 2011 · Gunaratne, Pujitha et al. · indexed
418. Toward detection of unsafe driving with inertial head-mounted sensors ↗ · 2016 · Karatas, Cagdas et al. · indexed
419. A Novel EEG-Based Assessment of Distraction in Simulated Driving under Different Road and Traffic Conditions · 2024 · Ronca, Vincenzo et al. · archived
420. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
421. Detecting driver inattention by rough iconic classification ↗ · 2013 · Masala, G. L. et al. · indexed
422. Real-Time Driver Drowsiness and Distraction Detection Using Google ML Kit on Android Platforms ↗ · 2025 · Sharma, Shilpy et al. · indexed
423. Attention-Driven Convolutional Neural Network for Real-Time Driver Drowsiness and Inattention Awareness ↗ · 2026 · Kate, Chennaiah et al. · indexed
424. Driver's exposure to distractions in their natural driving environment ↗ · 2005 · Stutts, J C et al. · indexed
425. Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network ↗ · 2020 · Baheti, Bhakti et al. · indexed
426. Driver distraction detection for vehicular monitoring ↗ · 2010 · Yang, Jing et al. · indexed
427. Driver Behavior Analysis via Two-Stream Deep Convolutional Neural Network ↗ · 2020 · Chen, Ju-Chin et al. · indexed
428. Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety ↗ · 2016 · Li, Xuanpeng et al. · indexed
429. Distraction mitigation through driver monitoring systems: a scoping review ↗ · 2026 · Ayas, Suzan et al. · indexed
430. YOLO11n-LDS: a lossless downsampling and direction-aware framework for robust driver distraction and fatigue detection ↗ · 2026 · Chen, Yi Ying et al. · indexed
431. Evaluating the Influence of Ambient State of a Car on the Cognitive Distracted State of the Driver ↗ · 2018 · Koma, Hiroaki et al. · indexed
432. A Privacy Protection-Oriented Lightweight Driver Distraction Detection Method Based on Convolutional Block Attention Module ↗ · 2025 · Pan, Yingying et al. · indexed
433. Distracted driving and associated crash risks. · 2014 · Ishak, Sherif et al. · archived
434. Ultra-Compact System For Identifying Driver Attention Lapses To Improve Traffic Safety ↗ · 2024 · Raghi, K R et al. · indexed
435. Double Attention Convolutional Neural Network for Driver Action Recognition ↗ · 2019 · Ai, Ying et al. · indexed
436. Driver Distraction in NHTSA Databases · 2010 · Ascone, Debra · archived
437. Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload · 2017 · Lee, Joonbum et al. · archived
438. Driver Distraction: Eye Glance Analysis and Conversation Workload [Research Brief] · 2015 · NHTSA · archived
439. Driver distraction detection method based on YOLOv11s ↗ · 2026 · Xia, Xinghua et al. · indexed
440. Driver Gaze Tracking and Eyes Off the Road Detection System ↗ · 2015 · Vicente, Francisco et al. · indexed
441. Sensor-based assessment of the in-situ quality of human computer interaction in the cars : final research report. · 2016 · Kim, SeungJun et al. · archived
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443. Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring ↗ · 2013 · Oyini Mbouna, Ralph et al. · indexed
444. Driver Distraction Identification using Multiple Machine Learning Approaches ↗ · 2021 · Pandey, Nageshwar Nath et al. · indexed
445. Measuring the Effects of Driver Distraction · 2008 · Young, Kristie et al. · archived
446. Driver Distraction: Evaluation with Event Detection Paradigm ↗ · 2003 · Greenberg, Jeff et al. · indexed
447. Investigating the relationships between gaze patterns, dynamic vehicle surround analysis, and driver intentions ↗ · 2009 · Doshi, Anup et al. · indexed
448. An intelligent network framework for driver distraction monitoring based on RES-SE-CNN ↗ · 2025 · Lei, Jichong et al. · indexed
449. Research on Evaluation Model for Secondary Task Driving Safety Based on Driver Eye Movements ↗ · 2014 · Jin, Lisheng et al. · indexed
450. A Systematic Literature Review of Driver Inattention Monitoring Systems for Smart Car ↗ · 2022 · Soultana, Abdelfettah et al. · indexed
451. Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos ↗ · 2022 · Khan, Shehroz S. et al. · indexed
452. Eye Glance Analysis of the Surrogate Tests for Driver Distraction · 2015 · Hsieh, Li et al. · archived
453. Drivers Glance Like Lizards during Cell Phone Distraction in Assisted Driving ↗ · 2021 · Yang, Shiyan et al. · indexed
454. Enhancing Road Safety through Deep Learning Approach for Driver Distraction and Drowsiness Detection ↗ · 2026 · Shenbagaraman, Madhumita et al. · indexed
455. ECG-Based Driver Distraction Identification Using Wavelet Packet Transform and Discriminative Kernel-Based Features ↗ · 2017 · Deshmukh, Shantanu V. et al. · indexed
456. Systematic Review of Research on Driver Distraction in the Context of Advanced Driver Assistance Systems ↗ · 2021 · Pradhan, Anuj K. · indexed
457. Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural Network ↗ · 2020 · Manjula, P.M. et al. · indexed
458. Fast Warning System for Driver of Distraction with Traffic Object Recognition by Image Processing ↗ · 2022 · Van Binh, Nguyen et al. · indexed
459. Naturalistic Driving Performance During Secondary Tasks · 2007 · Sayer, James et al. · archived
460. Detecting Driver Cognition Alertness State From Visual Activities in Normal and Emergency Scenarios ↗ · 2022 · Luo, Longxi et al. · indexed
461. Distracted driving and associated crash risks : tech summary. · 2014 · NHTSA · archived
462. Driver Attention Detection Based on Improved YOLOv5 ↗ · 2023 · Wang, Zhongzhou et al. · indexed
463. Driver strategies for engaging in distracting tasks using in-vehicle technologies · 2008 · Lerner, Neil et al. · archived
464. An observational study of secondary task engagement while driving on urban streets in Iranian Safe Communities ↗ · 2016 · Torkamannejad Sabzevari, Javad et al. · indexed
465. Dual-Task Modeling of Driving Lateral Control with a Motor Distraction Task ↗ · 2014 · Wang, Cuie et al. · indexed
466. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles · 2021 · Hammond, Rebecca L. et al. · archived
467. Road safety and distraction, results from a responsibility case-control study among a sample of road users interviewed at the emergency room ↗ · 2019 · Née, Mélanie et al. · indexed
468. Wearable Driver Monitoring System ↗ · 2024 · Benusa, Michael et al. · indexed
469. Hard Spatio-Multi Temporal Attention Framework for Driver Monitoring at Nighttime ↗ · 2023 · Abdullah, Karam et al. · indexed
470. SFANet: Spatial-Aware Feature Aggregation Network for Driver Distraction Detection ↗ · 2024 · Ke, Liang-Ying et al. · indexed
471. Distractive Tasks and the Influence of Driver Attributes ↗ · 2021 · Soares, Sónia et al. · indexed
472. Computational intelligent brain computer interaction and its applications on driving cognition ↗ · 2009 · Lin, Chin-Ten et al. · indexed
473. The Effects of Distraction on Anticipatory Driving · 2018 · He, Dengbo et al. · archived
474. Extract the Gaze Multi-dimensional Information Analysis Driver Behavior ↗ · 2020 · Lyu, Kui et al. · indexed
475. Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance ↗ · 2018 · Gillmeier, Katharina et al. · indexed
476. Driver Inattention Monitoring System: A Review ↗ · 2019 · Ahir, Archana et al. · indexed
477. Real-Time Driver Gaze Direction Detection Using the 3D Triangle Model and Neural Networks ↗ · 2013 · Cheng, Wen-Chang et al. · indexed
478. Detection of Driving Distractions and Their Impacts ↗ · 2023 · Shajari, Arian et al. · indexed
479. A multimodal dataset for various forms of distracted driving ↗ · 2017 · Taamneh, Salah et al. · indexed
480. Detection of Distracted Driver Using Convolutional Neural Network ↗ · 2018 · Baheti, Bhakti et al. · indexed
481. What can the drivers’ own description from combined sources provide in an analysis of driver distraction and low vigilance in accident situations? ↗ · 2013 · Tivesten, Emma et al. · indexed
482. Predicting Secondary Task Involvement and Differences in Task Modality Using Field Highway Driving Data ↗ · 2015 · Sinelnikova, Alina et al. · indexed
483. Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance ↗ · 2023 · Ezzati Amini, Roja et al. · indexed
484. Secondary Task Engagement During Automated Drives: Friend and Foe? ↗ · 2020 · Shupsky, Taylor et al. · indexed
485. Defining Driver Distraction ↗ · 2005 · Pettitt, Michael et al. · indexed
486. Distracted Driving Among Newly Licensed Teen Drivers · 2012 · AAA Foundation for Traffic Safety · archived
487. Eye and mouth movements extraction for driver cognitive distraction detection ↗ · 2012 · Azman, Afizan et al. · indexed
488. Eye Gaze Tracking Alarm System For Driver Distraction Detection ↗ · 2025 · Bhavya, S et al. · indexed
489. The Effects of Visual and Cognitive Distraction on Driver Situation Awareness · 2011 · Rogers, Meghan L. et al. · archived
490. Call detection of driver based on constrained local models ↗ · 2017 · Xu, Huasheng et al. · indexed
491. Multimodal classification of driver glance ↗ · 2017 · Baumann, Daniel et al. · indexed
492. Driver inattention detection system using multi-task cascaded convolutional networks ↗ · 2024 · Soultana, Abdelfettah et al. · indexed
493. USING IN-DEPTH CRASH DATA TO ASSESS THE ROLE OF DRIVER INATTENTION AND DRIVER DISTRACTION IN CRASHES ↗ · 2012 · Beanland, V et al. · indexed
494. Driver Assistant System using Haar Cascade and Convolution Neural Networks(CNN) ↗ · 2019 · Nair, Aditya et al. · indexed
495. Cell-Phone–Induced Driver Distraction · 2007 · Strayer, David L. et al. · archived
496. Application of Machine Learning and Image Recognition for Driver Attention Monitoring ↗ · 2023 · Tailor, Manav et al. · indexed
497. Methodology for Capturing Driver Eye Glance Behavior during In-Vehicle Secondary Tasks ↗ · 2005 · Smith, David L. et al. · indexed
498. Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al. · archived
499. Research Framework for Studying Driver Distraction on Polish City Highways · 2013 · Kelwyn A. D’Souza et al. · archived
500. On Performance Evaluation of Driver Hand Detection Algorithms: Challenges, Dataset, and Metrics ↗ · 2015 · Das, Nikhil et al. · indexed
501. Monitoring mouth movement for driver fatigue or distraction with one camera ↗ · 2005 · Wang Rongben et al. · indexed
502. Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction ↗ · 2022 · Jiang, Landu et al. · indexed
503. A driver-distraction-based lane-keeping assistance system · 2007 · Pohl, Jochen et al. · archived
504. Intelligent Driver Phone Distraction Alert System ↗ · 2025 · Muttanna Fakkirappa Singadi et al. · indexed
505. Enhancing Driver Monitoring Systems Based on Novel Multi-Task Fusion Algorithm ↗ · 2025 · Vijeikis, Romas et al. · indexed
506. Exploration of Contributing Factors of Different Distracted Driving Behaviors · 2019 · Shi, Jing et al. · archived
507. Measuring driver distraction – Evaluation of the box task method as a tool for assessing in-vehicle system demand ↗ · 2020 · Morgenstern, Tina et al. · indexed
508. Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation ↗ · 2025 · Ng, Shu-Kay et al. · indexed
509. Driver body information analysis for distraction state detection ↗ · 2015 · Sato, Kazuhito et al. · indexed
510. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
511. A Multi-Task CNN Framework for Driver Face Monitoring ↗ · 2018 · Celona, Luigi et al. · indexed
512. Mindfulness Predicts Driver Engagement in Distracting Activities · 2018 · Young, Kristie L. et al. · archived
513. Visualization Factor Distraction During the Driving Task in a Real Reality Environment Using EEG Analysis · 2022 · Zulfakur, Nursyuhadah et al. · archived
514. Effects of Secondary Task Demands on Drivers’ Responses to Events During Driving: Surrogate Methods and Issues · 2007 · Angell, Linda S · archived
515. Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets · 2022 · Miao, Hanwen et al. · archived
516. On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions · 2023 · Ebel, Patrick et al. · archived
517. A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach ↗ · 2023 · Elassad, Dauha Elamrani Abou et al. · indexed
518. Android OpenCV based effective driver fatigue and distraction monitoring system ↗ · 2015 · Manoharan, R. et al. · indexed
519. Driver Visual Distraction Detection Based on Face Mesh Feature Using Deep Learning ↗ · 2023 · Putra, Niko Christian Budi et al. · indexed
520. Demand-Based Driver Distraction Quantitative Balance Model ↗ · 2011 · Wu, Zhizhou et al. · indexed
521. On the necessity of adaptive eye movement classification in conditionally automated driving scenarios ↗ · 2016 · Braunagel, Christian et al. · indexed
522. Driving context influences drivers' decision to engage in visual–manual · 2015 · Tivesten, Emma et al. · archived
523. DRIVER DISTRACTION ASSOCIATED WITH MOBILE PHONE TACTILE TASKS: A DRIVING SIMULATOR-BASED STUDY · 2025 · Mohd Siam, Mohd Firdaus et al. · archived
524. Using Queuing Network and Logistic Regression to Model Driving with a Visual Distraction Task ↗ · 2013 · Bi, Luzheng et al. · indexed
525. Risky-Driving-Image Recognition Based on Visual Attention Mechanism and Deep Learning ↗ · 2022 · Song, Wei et al. · indexed
526. Evaluation and Visualization of Driver Inattention Rating From Facial Features ↗ · 2020 · Dua, Isha et al. · indexed
527. A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features ↗ · 2022 · Anber, Salma et al. · indexed
528. Classification of Driver Behaviour Using External Observation Techniques for Autonomous Vehicles ↗ · 2025 · Nell, Ian et al. · indexed
529. Deformable Pyramid Sparse Transformer for Semi-Supervised Driver Distraction Detection ↗ · 2026 · Zhao, Qiang et al. · indexed
530. An Intelligent Device to Analyze and Detect Driver Alertness using Media Pipe and Raspberry Pi ↗ · 2023 · Feng, Richard et al. · indexed
531. Patterns of Sequential Off-Road Glances Indicate Levels of Distraction in Automated Driving ↗ · 2019 · Yang, Shiyan et al. · indexed
532. The box task - a method for assessing in-vehicle system demand ↗ · 2021 · Trommler, Daniel et al. · indexed
533. 3D Skeleton-Based Driver Activity Recognition Using Self-Supervised Learning ↗ · 2024 · Lerch, David J. et al. · indexed
534. Educating the Public About Distracted Driving and Evaluating Distraction-Prevention Technologies · 2022 · Jeihani, Mansoureh et al. · archived
535. Estimating Attentional State of a Driver: Interacting Effects of Task Demands and Cognitive Capacities ↗ · 2018 · Choe, Seonggyu et al. · indexed
536. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al. · archived
537. Driver Inattention Detection System: A PSO-Based Multiview Classification Approach ↗ · 2015 · Koesdwiady, Arief et al. · indexed
538. Improvement of driver- state estimation algorithm using multi-modal information ↗ · 2015 · Yang, Ji Hyun et al. · indexed
539. A Multidisciplinary Review of Machine Learning for Driver Distraction Prediction: Unveiling Challenges ↗ · 2025 · Aponso, Achala et al. · indexed
540. A New Approach to Detect Driver Distraction to Ensure Traffic Safety and Prevent Traffic Accidents: Image Processing and MCDM ↗ · 2024 · Alemdar, Kadir Diler et al. · indexed
541. HammerDrive: A Task-Aware Driving Visual Attention Model ↗ · 2022 · Amadori, Pierluigi Vito et al. · indexed
542. The Role of Driver Distraction in Traffic Crashes · 2001 · Stutts, Jane C. et al. · archived
543. Prevalence of distracted driving by driver characteristics in the United States ↗ · 2023 · Cox, Aimee E. et al. · indexed
544. The role of driver distraction in traffic crashes · 2001 · Stutts, Jane C. et al. · archived
545. Driver Head Pose Detection From Naturalistic Driving Data ↗ · 2023 · Chai, Weiheng et al. · indexed
546. Spontaneous Driver Fatigue Discernment System Using Artificial Intelligence ↗ · 2022 · Kumar, Rishabh et al. · indexed
547. On the Philosophical Foundations of the Distracted Driver and Driving Distraction ↗ · 2008 · Hancock, Peter A. et al. · indexed
548. A comparative study on Driver Distraction Detection using a Deep Learning model ↗ · 2022 · Mangayarkarasi, R. et al. · indexed
549. Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving ↗ · 2017 · Yuce, Anil et al. · indexed
550. Cognitive Distraction While Driving: A Critical Review of Definitions and Prevalence in Crashes ↗ · 2012 · Young, Richard · indexed
551. Warwick-JLR driver monitoring dataset (DMD) ↗ · 2015 · Taylor, Phillip et al. · indexed
552. SafeDriveMetrics - A Comprehensive Database for Visual, Cognitive, and Manual Distractions Using a Driving Simulator ↗ · 2025 · Mazumdar, Rahimul I. et al. · indexed
553. The impact of driver distraction in tractor-trailers and motorcoach buses ↗ · 2019 · Rebecca L. Hammond (Olson) et al. · indexed
554. Exploratory Advanced Research Program : Video Analytics Research Projects · 2015 · NHTSA · archived
555. Investigation of distracted driving activities at highway-rail grade crossings (HRGC). · 2013 · Khattak, Aemal et al. · archived
556. Stereo Vision and Statistical Based Behaviour Prediction of Driver ↗ · 2007 · Eren, Haluk et al. · indexed
557. Recognition of Driver Turn Behavior Based on Video Analysis ↗ · 2012 · Lu, Yu Feng et al. · indexed
558. Individual Differences in Glance Patterns under Distraction in Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
559. A Driver Face Monitoring System for Fatigue and Distraction Detection ↗ · 2013 · Sigari, Mohamad-Hoseyn et al. · indexed
560. An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance ↗ · 2006 · Harbluk, Joanne L. et al. · indexed
561. Distraction-induced driving error: An on-road examination of the errors made by distracted and undistracted drivers ↗ · 2012 · Young, Kristie L. et al. · indexed
562. Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al. · indexed
563. DRIVER BEHAVIOR MONITORING SYSTEM ↗ · 2021 · Rybak, Andriian · indexed
564. Countermeasures That Work – Distracted Driving [Traffic Tech] · 2021 · Blenner, J A · archived
565. Development of the Enhanced Peripheral Detection Task: A Surrogate Test for Driver Distraction ↗ · 2012 · Hsieh, Li et al. · indexed
566. Ensemble model for Driver Distraction Detection ↗ · 2023 · Subbulakshmi, S. et al. · indexed
567. Towards Modelling Distracted Human Driving: Sensor Fusion and Driver Status Monitoring in a VR Simulator ↗ · 2024 · Liu, Jiacheng et al. · indexed
568. Driver Behavior Classification: A Systematic Literature Review · 2023 · Bouhsissin, Soukaina et al. · archived
569. DRIVER DISTRACTION MEASUREMENT IN REAL ROAD TRAFFIC ENVIRONMENTS: AN INSTRUMENTED VEHICLE STUDY ↗ · 2020 · Mohd Siam, Mohd Firdaus et al. · indexed
570. Real-time categorization of driver's gaze zone using the deep learning techniques ↗ · 2016 · Choi, In-Ho et al. · indexed
571. A Multi-Camera Deep Neural Network for Detecting Elevated Alertness in Drivers · 2018 · Gideon, John et al. · archived
572. Fusion of visible light and EEG signals for a driving distraction and road rage detection system ↗ · 2024 · Wei, Shanling et al. · indexed
573. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
574. Caltrans UAS and Driver Safety: Driver Distraction in the Presence of UAS · 2024 · Akhavian, Reza et al. · archived
575. Influence of Driving Experience on Distraction Engagement in Automated Vehicles · 2019 · He, Dengbo et al. · archived
576. Driver inattention detection through intelligent analysis of readily available sensors ↗ · 2005 · Torkkola, K. et al. · indexed
577. RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network ↗ · 2023 · Gu, Minming et al. · indexed
578. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles [Research Brief] · 2021 · NHTSA · archived
579. Driver assistance for “Keeping Hands on the Wheel and Eyes on the Road” ↗ · 2009 · Tran, Cuong et al. · indexed
580. Distraction and Drowsiness in Motorcoach Drivers · 2016 · Hammond, Rebecca, L. et al. · archived
581. Effects of a Computer-Based Training Module on Drivers’ Willingness to Engage in Distracting Activities ↗ · 2009 · Horrey, William J. et al. · indexed
582. Driver's cognitive distraction detection using physiological features by the adaboost ↗ · 2009 · Miyaji, Masahiro et al. · indexed
583. STFTransNet: A Transformer Based Spatial Temporal Fusion Network for Enhanced Multimodal Driver Inattention State Recognition System ↗ · 2025 · Kim, Minjun et al. · indexed
584. A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features · 2021 · Abbas, Qaisar et al. · archived
585. Assessment of Driver Inattention State using Multimodal Attentive Feature Fusion ↗ · 2025 · Pavan, Kaveti et al. · indexed
586. Driver Inattention Detection Using a Hybrid Vision Transformer and BiLSTM ↗ · 2026 · Teja, Devanaboyina Manikanta et al. · indexed
587. Driving Distractions Perceptions among Young Drivers in an Urban Area of Shah Alam · 2022 · Kamaluddin, Noor Azreena et al. · archived
588. On the forces of driver distraction: Explainable predictions for the visual demand of in-vehicle touchscreen interactions ↗ · 2023 · Ebel, Patrick et al. · indexed
589. Camera-Based Driver Monitoring System for Abnormal Behavior Detection · 2020 · Aljaafreh, Ahmad · archived
590. Information Fusion for Driver Distraction Studies Using Eye Tracking Glasses ↗ · 2021 · Paletta, Lucas et al. · indexed
591. HARMONY: A Human-Centered Multimodal Driving Study in the Wild · 2021 · Tavakoli, Arash et al. · archived
592. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior ↗ · 2013 · Ahlstrom, Christer et al. · indexed
593. Using Driver Simulators to Measure the Impact of Distracted Driving on Commercial Motor Vehicle Operators · 2015 · Tarr, Ronald W. et al. · archived
594. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom · archived
595. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
596. Assessing Driver Distraction Due to In-Vehicle Video Systems through Field Testing at the Pecos Research and Testing Center · 2007 · Funkhouser, Dillon et al. · archived
597. Primary Task Disruption from Multiple In-Vehicle Systems ↗ · 2002 · Lansdown, Terry C. et al. · indexed
598. Do automation and digitalization distract drivers? A systematic review ↗ · 2025 · Vijay, Neelima C. et al. · indexed
599. Analyzing the relationship between head pose and gaze to model driver visual attention ↗ · 2016 · Jha, Sumit et al. · indexed
600. Educating Younger Drivers in the Pacific Northwest Regarding the Dangers of Distracted Driving (Phase II) · 2015 · Hurwitz, David et al. · archived
601. Driver distraction in school zones: A roadside observational study in Canada · 2025 · Biondi, FN et al. · archived
602. A Driver Emotion Monitoring System Based on Computer Vision Technique ↗ · 2025 · Yan, Zekai · indexed
603. Sociodemographic, contextual and psychological factors predicting secondary task engagement: A nationwide interview study among car drivers in Germany ↗ · 2024 · Kreusslein, Maria et al. · indexed
604. Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers ↗ · 2022 · Zangi, Noa et al. · indexed
605. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
606. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
607. The use of cardiac-based metrics to assess secondary task engagement during automated and manual driving: An experimental simulation study · 2023 · Luigi Di Stasi, Leandro et al. · archived
608. Embedded System for Inattention Detection in Driving Task ↗ · 2020 · Castro, Ángel Arturo Rendón et al. · indexed
609. Effect of distraction on driving performance using touch screen while driving on test track ↗ · 2013 · Hagiwara, Toru et al. · indexed
610. On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights · 2020 · Siddharth, Siddharth et al. · archived
611. Impact of Cognitive Task Complexity on Drivers’ Visual Tunneling ↗ · 2009 · Reimer, Bryan · indexed
612. An Integrated Framework for Multi-State Driver Monitoring Using Heterogeneous Loss and Attention-Based Feature Decoupling ↗ · 2022 · Hu, Zhongxu et al. · indexed
613. Recognition method of driver's visual distraction based on pupil diameter ↗ · 2018 · Guo, Weiwei et al. · indexed
614. Driver action monitoring based on convolutional neural network algorithms ↗ · 2023 · Burankina, P.V. et al. · indexed
615. Driving Behavior Recognition Algorithm Combining Attention Mechanism and Lightweight Network ↗ · 2022 · Wang, Lili et al. · indexed
616. Driver distraction and inattention in fatal and injury crashes: Findings from in-depth road crash data ↗ · 2019 · Wundersitz, Lisa · indexed
617. Development of a Test Protocol to Demonstrate the Effects of Secondary Tasks on Closed-Course Driving Performance ↗ · 2001 · Ranney, Thomas A. et al. · indexed
618. AI-Based Driver Drowsiness and Distraction Detection in Real-Time ↗ · 2023 · Kurian, Anna Titu et al. · indexed
619. Intelligent Distraction and Drowsiness Detection System for Automobiles ↗ · 2021 · Chaudhary, Varun et al. · indexed
620. Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach ↗ · 2018 · Oviedo-Trespalacios, Oscar et al. · indexed
621. Detection of distraction under naturalistic driving using Galvanic Skin Responses ↗ · 2017 · Rajendra, Vikas et al. · indexed
622. Cognitive Workload Estimation through Lateral Driving Performance ↗ · 2011 · Son, Joonwoo et al. · indexed
623. Assessing the Effects of In-Vehicle Tasks on Driving Performance ↗ · 2011 · Horrey, William J. · indexed
624. Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition ↗ · 2024 · Gao, Hang et al. · indexed
625. Predicting Driver’s Transition Time to a Secondary Task Given an in-Vehicle Alert ↗ · 2022 · Hwang, Steven et al. · indexed
626. Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion ↗ · 2023 · Mou, Luntian et al. · indexed
627. Texting and Driving Recognition Exploiting Subsequent Turns Leveraging Smartphone Sensors ↗ · 2019 · Bedogni, Luca et al. · indexed
628. Optimized driver safety through driver fatigue detection methods ↗ · 2017 · Wathiq, Omar et al. · indexed
629. Assessment of Truck Driver Distraction Problem and Research Needs · 2005 · Llaneras, Robert E. et al. · archived
630. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
631. Deep Learning-Based Driver Activity Recognition Using Diverse Driver Profiles ↗ · 2024 · Obaid, Surayya et al. · indexed
632. Distraction beyond the driver ↗ · 2013 · Salvucci, Dario D. · indexed
633. Driver Emotion Analytics on In-Vehicle Gesture Control System ↗ · 2022 · Sarla, S M et al. · indexed
634. Aggregated mapping of driver attention from matched optical flow ↗ · 2014 · Perko, Roland et al. · indexed
635. MELD3: Integrating Multi-Task Ensemble Learning for Driver Distraction Detection ↗ · 2024 · Azizoglu, Gokhan et al. · indexed
636. The Impact of Dual-Task on Lateral Performance: A Simulation-Based Study of Driving Distraction when Approaching Risky Situations ↗ · 2011 · Zhang, Hui et al. · indexed
637. A Lightweight Architecture For Driver Status Monitoring Via Convolutional Neural Networks ↗ · 2019 · He, Jinyang et al. · indexed
638. Influence of cognitively distracting activity on driver’s eye movement during preparation of changing lanes ↗ · 2008 · Zhou, Huiping et al. · indexed
639. Analysis of Driver Distraction Behaviour Causing Risk of Accidents in Jordan · 2023 · Abojaradeh, Mohammad · archived
640. Eye Blink Detection- A New System for Driver Drowsiness and Distraction Detection ↗ · 2024 · Journal, IJSREM · indexed
641. Driver Action Recognition Based on Attention Mechanism ↗ · 2019 · Wang, Wenhao et al. · indexed
642. Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition · 2023 · Greer, Ross et al. · archived
643. Research on Distracted and Fatigue-Related Driving Behavior Detection Based on YOLOv12-LAD ↗ · 2026 · Liu, Xiyao et al. · indexed
644. Where's My Cellphone: Non-contact based Hand-Gestures and Ultrasound haptic feedback for Secondary Task Interaction while Driving ↗ · 2021 · Farooq, Ahmed et al. · indexed
645. Evaluation of the Effects of Driver Distraction Part 1: Based on Simulator Experiments ↗ · 2018 · Kim, Sung Lae et al. · indexed
646. EEG-Based Attention Tracking During Distracted Driving ↗ · 2015 · Wang, Yu-Kai et al. · indexed
647. Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach ↗ · 2014 · Pinotti, Daniele et al. · indexed
648. Supervised machine learning for modeling human recognition of vehicle-driving situations ↗ · 2005 · Dixon, K.R. et al. · indexed
649. Vehicular data acquisition and analytics system for real-time driver behavior monitoring and anomaly detection ↗ · 2017 · Nirmali, Bhashinee et al. · indexed
650. Online Prediction of Driver Distraction Based on Brain Activity Patterns ↗ · 2015 · Wang, Shouyi et al. · indexed
651. Dangerous driving behavior detection method in vehicle intelligent cockpit based on transwindow multimodal fusion ↗ · 2026 · Zhao, Minghui et al. · indexed
652. A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding · 2023 · Sharma, Pavan Kumar et al. · archived
653. Monitoring driver attention distraction with binocular vision ↗ · 2019 · Sun, Hai Yan et al. · indexed
654. What You See is What You Get? Correspondence of Video and Interview Data on Secondary Task Engagement While Driving-A Naturalistic Driving Study ↗ · 2019 · Kreusslein, Maria et al. · indexed
655. Enhancing Road Safety: Detecting Texting Distracted Driving with Eye-Tracking and Machine Learning ↗ · 2023 · Rajput, Rohan Singh et al. · indexed
656. CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection ↗ · 2022 · Liu, Shugang et al. · indexed
657. Study on effect of adding pupil diameter as recognition features for driver's cognitive distraction detection ↗ · 2010 · Miyaji, Masahiro et al. · indexed
658. Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework ↗ · 2025 · Pavan, Kaveti et al. · indexed
659. Effects of Voice Technology on Test Track Driving Performance: Implications for Driver Distraction ↗ · 2005 · Ranney, Thomas A. et al. · indexed
660. The Effect of Distraction Modality on Driver Performance ↗ · 2010 · Louw, Tyron · indexed
661. Age and Secondary Task Engagement in Relation to Safe/Unsafe Driving Behavior and Crash/Non-Crash Events ↗ · 2019 · Calvo, Jose A et al. · indexed
662. Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) Dataset ↗ · 2018 · Risteska, Martina et al. · indexed
663. Driver Hypo-vigilance Detection Based on Eyelid Behavior ↗ · 2009 · Sigari, Mohamad Hoseyn · indexed
664. Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data · 2020 · Bálint, András et al. · archived
665. Driver Alertness System using Deep Learning, MQ3 and Computer Vision ↗ · 2020 · Raorane, Aashreen et al. · indexed
666. Video based detection of driver fatigue ↗ · 2009 · Vural, Esra · indexed
667. In Cabin Driver Monitoring and Alerting System For Passenger cars using Machine Learning. ↗ · 2023 · Suryavanshi, Shrirang et al. · indexed
668. An empirical study to examine sex differences in cognitive distraction among drivers ↗ · 2010 · Azman, Afizan et al. · indexed
669. An overview of driving distraction measure methods ↗ · 2009 · Qun Wu · indexed
670. Cloud-Based Driver Monitoring System Using a Smartphone ↗ · 2020 · Kashevnik, Alexey et al. · indexed
671. Visual Monitoring of Driver Inattention · 2008 · Bergasa, Luis M. et al. · archived
672. Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters ↗ · 2020 · Rahman, Hamidur et al. · indexed
673. Using European naturalistic driving data to assess secondary task engagement when stopped at a red light ↗ · 2020 · Morgenstern, Tina et al. · indexed
674. Identification of real-time driver distraction using optimal subBand detection powered by Wavelet Packet Transform ↗ · 2017 · Deshmukh, Shantanu et al. · indexed
675. Exploring naturalistic driving data for distracted driving measures : [research project capsule]. · 2015 · Ishak, Sherif · archived
676. Are Drivers More Distracted with Level 2 Automated Technologies? A Naturalistic Driving Study Analysis of Frequency, Duration, and Proportion of Time Drivers Engage in Secondary Tasks ↗ · 2026 · Klauer, Sheila et al. · indexed
677. Distracted Driving Behavior Detection Algorithm Based on Lightweight StarDL-YOLO ↗ · 2024 · Shen, Qian et al. · indexed
678. DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information ↗ · 2022 · Othman, Walaa et al. · indexed
679. Neural Correlates of Simulated Driving While Performing a Secondary Task: A Review ↗ · 2019 · Palmiero, Massimiliano et al. · indexed
680. On generalizing driver gaze zone estimation using convolutional neural networks ↗ · 2017 · Vora, Sourabh et al. · indexed
681. Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention ↗ · 2023 · Ma, Yiming et al. · indexed
682. Multi-level Analysis of Distracted Drivers’ Glances: Enhancing the Robustness of the NHTSA Acceptance Criteria ↗ · 2017 · Lee, Ja Young et al. · indexed
683. Distracted Driving: It is not always a choice · 2016 · Hunter, Michael P. et al. · archived
684. Detection and controlling of drivers' visual focus of attention ↗ · 2017 · Debnath, Partha Pratim et al. · indexed
685. A review paper on monitoring driver distraction in real time using computer vision system ↗ · 2017 · Kulkarni, Ankita. S. et al. · indexed
686. Educating Teenage Drivers in the Pacific Northwest Regarding the Dangers of Distracted Driving (Phase I) · 2014 · Hurwitz, David S. et al. · archived
687. Multi-Modality Action Recognition Based on Dual Feature Shift in Vehicle Cabin Monitoring ↗ · 2024 · Lin, Dan et al. · indexed
688. Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning ↗ · 2023 · Ziakopoulos, Apostolos et al. · indexed
689. Distracted Drivers Differ in Infrastructure Sensitivity, Not Distraction Frequency: A Naturalistic Crosswalk Study ↗ · 2026 · Douglas, Grace et al. · indexed
690. Face Detection Using a Capsule Network for Driver Monitoring Application ↗ · 2023 · Hollósi, János et al. · indexed
691. Hybrid-Aligned Domain Adaptation for Driver Distraction Recognition ↗ · 2026 · Zhou, Ximing et al. · indexed
692. Driver Alert System: CNN-Powered to Identify Driving-Related Eating Distraction ↗ · 2026 · Khalil, Nida et al. · indexed
693. Fast and Accurate Driver Action Recognition with Multi-Task Learning of Driver Pose and Action ↗ · 2021 · Nishiyuki, Kenta et al. · indexed
694. Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Time ↗ · 2014 · Darshana, Sanka et al. · indexed
695. Driving Attention State Detection Based on GRU-EEGNet ↗ · 2024 · Wu, Xiaoli et al. · indexed
696. An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction ↗ · 2018 · Iranmanesh, Seyed Mehdi et al. · indexed
697. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
698. Driver distraction · 2018 · Neyens, David Michael · archived
699. Hand off Steering Wheel Detection Using Sensor Data of Smartwatch and Smartphone ↗ · 2021 · He, Changchang et al. · indexed
700. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
701. Effects of Non-Driving Cognitive Activity on Driver's Eye Movement and Their Individual Difference ↗ · 2008 · ITOH, Makoto et al. · indexed
702. How do distracted and normal driving differ : an analysis of the ACAS naturalistic driving data · 2007 · Green, Paul E. et al. · archived
703. Computational Modeling of Driver Distraction by Integrating Cognitive and Agent-Based Traffic Simulation Models ↗ · 2014 · Nourzad, Seyed Hossein Hosseini et al. · indexed
704. Driver inattention and driver distraction in serious casualty crashes: Data from the Australian National Crash In-depth Study ↗ · 2013 · Beanland, Vanessa et al. · indexed
705. Driving Alertness System Using Deep Learning · 2024 · Vaidya, Prof. R. S. · archived
706. Mitigating effects of distraction: Drivers adjust speed and glance behaviour during secondary tasks in a driving simulator study ↗ · 2026 · Kummerer, Katharina et al. · indexed
707. An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring ↗ · 2017 · Zhao, Yifan et al. · indexed
708. C-DIRA: Computationally Efficient Dynamic ROI Routing and Domain-Invariant Adversarial Learning for Lightweight Driver Behavior Recognition ↗ · 2026 · Inoshita, Keito · indexed
709. Do drivers self-regulate their engagement in secondary tasks at intersections? An examination based on naturalistic driving data ↗ · 2020 · Ismaeel, Rashed et al. · indexed
710. Analysis of the distraction impact on driving performance across driving styles: A driving simulator study in various speed conditions · 2025 · Faqani, Mobina et al. · archived
711. Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems ↗ · 2020 · Noble, Alexandria M. et al. · indexed
712. Color Block Task ↗ · 2016 · Wang, Ying et al. · indexed
713. Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion ↗ · 2024 · Yang, Haohan et al. · indexed
714. A new method for monitoring the state of drivers-occupant based on infrared 3D camera ↗ · 2022 · Wang, Xianggang et al. · indexed
715. System for detecting driver’s drowsiness, fatigue and inattention ↗ · 2021 · Arsic, Aleksa et al. · indexed
716. Differential Self-Attention in 1-D CNNs for Driver Inattention Detection Using Multimodal Biosignals ↗ · 2026 · Pavan, Kaveti et al. · indexed
717. NEURAL NETWORK DEVELOPMENT AND TRAINING FOR RECOGNIZING THE STATE OF A DRIVER ↗ · 2023 · Schwetz, Olga et al. · indexed
718. STA-Net: A Spatial–Temporal Joint Attention Network for Driver Maneuver Recognition, Based on In-Cabin and Driving Scene Monitoring ↗ · 2024 · He, Bin et al. · indexed
719. Effectiveness of Distracted Driving Countermeasures: An Expanded and Updated Review of the Scientific and Gray Literatures · 2022 · AAA Foundation for Traffic Safety et al. · archived
720. Learning effects in the lane change task (LCT) – Realistic secondary tasks and transfer of learning ↗ · 2014 · Petzoldt, Tibor et al. · indexed
721. A Surrogate Test for Cognitive Demand: Tactile Detection Response Task (TDRT) ↗ · 2015 · Hsieh, Li et al. · indexed
722. Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features ↗ · 2022 · Hu, Zhongxu et al. · indexed
723. Real-Time Driver Monitoring System Using Computer Vision to Detect Drowsiness for Enhanced Traffic Safety ↗ · 2024 · I, Sneha C et al. · indexed
724. CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture ↗ · 2024 · Praharsha, Chittathuru Himala et al. · indexed
725. Driver Cell Phone Usage Violation Detection using License Plate Recognition Camera Images ↗ · 2019 · Alkan, Bensu et al. · indexed
726. Driver Behavior Analysis Using Deep Learning ↗ · 2022 · K R, Prasanna Kumar et al. · indexed
727. An examination of driver distraction as recorded in NHTSA databases · 2009 · Ascone, Debra et al. · archived
728. Teens' distracted driving behavior: Prevalence and predictors ↗ · 2017 · Gershon, Pnina et al. · indexed
729. Classifying Cognitive Load and Driving Situation with Machine Learning ↗ · 2014 · Yoshida, Yutaka et al. · indexed
730. Behavioral Effects of Driver Distraction and Alcohol Impairment ↗ · 2005 · Rakauskas, Michael et al. · indexed
731. Assessing Driver Distraction From Unmanned Aerial Vehicles and Under‐Bridge Inspection Trucks: A Driving Simulator Study Using Eye Tracker and EEG ↗ · 2026 · Kusha, Zainab Afzali et al. · indexed
732. Experimental Framework for Simulators to Study Driver Cognitive Distraction: Brake Reaction Time in Different Levels of Arousal ↗ · 2016 · Sena, Pasquale et al. · indexed
733. Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al. · archived
734. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
735. A Neural Network Algorithm for Detecting Driver Distraction ↗ · 2024 · Yang, Qirong · indexed
736. An Extremely Lightweight Driver Distraction Detection System Using Recurrent Neural Network for Enhanced Road Safety ↗ · 2024 · R, Raghi K. et al. · indexed
737. Attentional warnings caused by driver monitoring systems: How often do they appear and how well are they understood? ↗ · 2024 · Forster, Yannick et al. · indexed
738. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
739. Multimodal Driver Condition Monitoring System Operating in the Far-Infrared Spectrum ↗ · 2024 · Knapik, Mateusz et al. · indexed
740. The Relationship between Real-Time EEG Engagement, Distraction and Workload Estimates and Simulator-Based Driving Performance · 2013 · Marcotte, Thomas D et al. · archived
741. A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection ↗ · 2014 · Sigari, Mohamad-Hoseyn et al. · indexed
742. Phone Use Behavior of Chinese Drivers Based on Naturalistic Driving Data ↗ · 2018 · Xing, Yilun et al. · indexed
743. Towards hybrid driver state monitoring: Review, future perspectives and the role of consumer electronics · 2016 · Melnicuk, Vadim et al. · archived
744. Assessment of the occlusion technique as a means for evaluating the distraction potential of driver support systems ↗ · 2006 · Pettitt, M.A. et al. · indexed
745. Dashcam-Based Driver Monitor for Semi-Autonomous Driving ↗ · 2023 · Sunagawa, Mika et al. · indexed
746. Automatic Inference of Driving Task Demand from Visual Cues of Emotion and Attention ↗ · 2022 · Soro, Alessandro et al. · indexed
747. Crash Risk Analysis of Distracted Driving Behavior: Influence of Secondary Task Engagement and Driver Characteristics ↗ · 2017 · Osman, Osama A et al. · indexed
748. Distraction from multiple in-vehicle secondary tasks: vehicle performance and mental workload implications ↗ · 2004 · Lansdown, Terry C et al. · indexed
749. Temporal Impact on Cognitive Distraction Detection for Car Drivers using EEG ↗ · 2020 · Schneiders, Eike et al. · indexed
750. Using Driver Simulators to Measure the Impact of Distracted Driving on Commercial Motor Vehicle Operators [Research Brief] · 2015 · NHTSA · archived
751. Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk ↗ · 2020 · Panagopoulos, George et al. · indexed
752. Driver State Monitoring with Hierarchical Classification ↗ · 2018 · Weyers, Patrick et al. · indexed
753. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
754. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
755. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
756. Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya · archived
757. The Influence of Different Factors on Right-Turn Distracted Driving Behavior at Intersections Using Naturalistic Driving Study Data ↗ · 2019 · Lv, Bin et al. · indexed
758. Evaluation of smartphone interactions on drivers’ brain function and vehicle control in an immersive simulated environment ↗ · 2021 · Baker, Joseph M. et al. · indexed
759. DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification ↗ · 2026 · Chen, Junzhou et al. · indexed
760. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data · 2021 · Rangesh, Akshay et al. · archived
761. Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data ↗ · 2020 · Arvin, Ramin et al. · indexed
762. Investigating the correspondence between driver head position and glance location · 2018 · Lee, Joonbum et al. · archived
763. EEG based driver cognitive distraction assessment ↗ · 2014 · Almahasneh, Hossam S. et al. · indexed
764. On-road driver eye movement tracking using head-mounted devices ↗ · 2002 · Sodhi, M. et al. · indexed
765. Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking ↗ · 2024 · Hu, Zhongxu et al. · indexed
766. Driver inattention and highway safety · 1985 · Sussman, E. D. et al. · archived
767. Driver Monitoring System based on Distracted Driving Decision Algorithm ↗ · 2022 · Jeon, Sehwan et al. · indexed
768. Discriminant analysis of transit operator distracted driving behaviors using naturalistic driving data ↗ · 2014 · Arbie, Nurlayla et al. · indexed
769. MFCA-Net: A Multimodal Fusion Framework with Collaborative Attention for Driver Behavior Recognition ↗ · 2026 · Li, Mingyang et al. · indexed
770. Driver behavior recognition based on dual-branch and deformable convolutional network method ↗ · 2024 · Hongyu, Hu et al. · indexed
771. Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications ↗ · 2019 · Zhang, Chao et al. · indexed
772. Multivariate Statistical Analysis of Public Transit Bus Driver Distraction ↗ · 2012 · D'Souza, Kelwyn et al. · indexed
773. Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G. · indexed
774. Impacts of Smartphones’ Distraction on Driving Behavior: Naturalistic Data Collection Using A Smartphone Application ↗ · 2023 · Attwa, Mohamed et al. · indexed
775. How Do Automation Modes Influence the Frequency of Advanced Driver Distraction Warnings? A Simulator Study ↗ · 2023 · Koniakowsky, Ina Marie et al. · indexed
776. The power and sensitivity of four core driver workload measures for benchmarking the distraction potential of new driver vehicle interfaces · 2021 · McDonnell, AS et al. · archived
777. SPIDER ↗ · 2015 · Strayer, David L. et al. · indexed
778. Implementation of Scale-Invariant Feature Transform Convolutional Neural Network for Detecting Distracted Driver ↗ · 2024 · Fhadilla, Nahdatul · indexed
779. A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data ↗ · 2022 · Fu, Xin et al. · indexed
780. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
781. The Effects of Using In-Vehicle Computer on Driver Eye Movements and Driving Performance ↗ · 2014 · Xian, Huacai et al. · indexed
782. A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy ↗ · 2018 · Le, Anh Son et al. · indexed
783. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction ↗ · 2015 · Ameyoe, Ablamvi et al. · indexed
784. Proposal for Driver Distraction Indexes Using Biological Signals ↗ · 2012 · Ohkura, Michiko et al. · indexed
785. Vehicle safety evaluation based on driver drowsiness and distracted and impaired driving performance using evidence theory ↗ · 2014 · Li, Xuanpeng et al. · indexed
786. Driving Behavior Recognition Based on Sensors in Mobile Phone ↗ · 2013 · Lu, Jianxin et al. · indexed
787. Effects of Cognitive Distraction on Driver's Visual Attention(Mechanical Systems) ↗ · 2010 · ABE, Genya et al. · indexed
788. YOLOv10n-SD:a novel real-time object detectionmodel for Driver distracted driving detection ↗ · 2025 · Liu, Yi et al. · indexed
789. Research on Driving Distraction Based on Peripheral Detection Task ↗ · 2015 · Zhang, Haichao et al. · indexed
790. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al. · archived
791. Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network ↗ · 2021 · Ansari, Shahzeb et al. · indexed
792. Intervehicle Safety Warning Information System for Unsafe Driving Events ↗ · 2012 · Oh, Cheol et al. · indexed
793. A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones ↗ · 2019 · Chan, Teck Kai et al. · indexed
794. The influence of attention distraction on the drivers’ behaviour · 2018 · Gąsiorek, Kamila et al. · archived
795. Monitoring driver distraction using machine learning and deep learning techniques ↗ · 2022 · Sakthivel, K. M. E. et al. · indexed
796. Assessing the effects of in-vehicle tasks on driving performance ↗ · 2012 · Horrey, William J. · indexed
797. Driver Distraction State Recognition Based on Minimum Spanning Tree Features using EEG Data ↗ · 2023 · Liu, Rui et al. · indexed
798. SS3: A design of the cognitive process model for a car driver considering quantitatively expressed distraction ↗ · 2014 · Harada, Taku et al. · indexed
799. Autonomous Driver Distraction Identification using the YOLO Algorithm in Deep Learning ↗ · 2025 · S, Kanimozhi et al. · indexed
800. A Neural Network-Based Driver Gaze Classification System with Vehicle Signals ↗ · 2020 · Dari, Simone et al. · indexed
801. Texting While Driving: Computerized Eye Tracking as a Method to Assess Visual Distraction During Driving Simulations ↗ · 2025 · Litwiler, Scott et al. · indexed
802. Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation ↗ · 2026 · Yar, Hikmat et al. · indexed
803. Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals ↗ · 2020 · Xie, Yongquan et al. · indexed
804. A Research Framework for Studying Transit Bus Driver Distraction · 2013 · D’Souza, Kelwyn A. et al. · archived
805. Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition · 2023 · Kim, Dohun et al. · archived
806. Driver State Monitoring System ↗ · 2019 · Guettas, Amina et al. · indexed
807. Assessing Driver Performance of Lane-Merge Tasks Using Video Capture Method ↗ · 2018 · Bernadin, Shonda et al. · indexed
808. Driver-initiated distractions: Examining strategic adaptation for in-vehicle task initiation ↗ · 2008 · Horrey, William J. et al. · indexed
809. Driving context influences drivers' decision to engage in visual–manual phone tasks: Evidence from a naturalistic driving study ↗ · 2015 · Tivesten, Emma et al. · indexed
810. Distraction and related risk factors among professional and non-professional drivers ↗ · 2024 · Razzaghi, Alireza et al. · indexed
811. Drowsiness Classification for Internal Driving Situation Awareness on Mobile Platform · 2021 · Nine, Julkar et al. · archived
812. Using SHRP 2 naturalistic driving data to assess drivers' speed choice while being engaged in different secondary tasks ↗ · 2017 · Schneidereit, Tina et al. · indexed
813. Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving ↗ · 2014 · Tivesten, Emma et al. · indexed
814. Driver alertness detection using Google Glasses ↗ · 2015 · Liu, Kuang-Yu et al. · indexed
815. CARIN ↗ · 2020 · Bai, Yunhao et al. · indexed
816. Hands on the wheel: A Dataset for Driver Hand Detection and Tracking · 2018 · Borghi, Guido et al. · archived
817. Research on Method of Driver Distraction State Based on Mouth State ↗ · 2018 · Huang, Xiangdong et al. · indexed
818. State of the Art in Drivers’ Attention Monitoring – A Systematic Literature Review ↗ · 2023 · Al-Gburi, Sama Hussein et al. · indexed
819. End-to-End Multitask Learning for Driver Gaze and Head Pose Estimation ↗ · 2020 · Ewaisha, Mahmoud et al. · indexed
820. Older driver distraction: A naturalistic study of behaviour at intersections ↗ · 2013 · Charlton, Judith L. et al. · indexed
821. Automotive Collision Avoidance System Field Operational Test · 2005 · Llaneras, Robert E. et al. · archived
822. Technology Transfer: Distracted Driving, Overview Summary of Ways to Alleviate · 2017 · Peters, Robert et al. · archived
823. The effects of commercial electronic variable message signs (CEVMS) on driver attention and distraction : an update · 2009 · Molino, John A. et al. · archived
824. Event-related potentials and secondary task performance during simulated driving ↗ · 2008 · Wester, A.E. et al. · indexed
825. The effects of age on crash risk associated with driver distraction ↗ · 2016 · Guo, Feng et al. · indexed
826. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update [Traffic Tech] · 2024 · NHTSA · archived
827. Distraction in Commercial Trucks and Buses: Assessing Prevalence and Risk in Conjunction with Crashes and Near-Crashes [Tech Brief] · 2010 · NHTSA · archived
828. Real Time Driver Gaze Tracking and Eyes off the Road Detection System ↗ · 2023 · Venkatapathi, Pallam et al. · indexed
829. Together Distracted? The Effect of Driver-Passenger Collaboration on Workload, Glance Behavior, and Driving Performance ↗ · 2022 · Berger, Melanie et al. · indexed
830. Driver Gaze Region Estimation without Use of Eye Movement ↗ · 2016 · Fridman, Lex et al. · indexed
831. Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving · 2018 · Oviedo-Trespalacios, Óscar · archived
832. Distracted Driving and Associated Crash Risks : Research Project Capsule · 2012 · NHTSA · archived
833. Behavioral Entropy as a Measure of Driving Performance ↗ · 2001 · Boer, Erwin R · indexed
834. Creating the environment for driver distraction: A thematic framework of sociotechnical factors ↗ · 2018 · Parnell, Katie J. et al. · indexed
835. Face pose estimation for driver distraction monitoring by automatic clustered linear discriminant analysis ↗ · 2014 · Hari, C. V. et al. · indexed
836. Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al. · archived
837. The Paradox of Driving-Related Distraction: Driver Monitoring Systems Trigger Warnings During Overtaking Maneuvers ↗ · 2024 · Koniakowsky, Ina Marie et al. · indexed
838. Effects of Non-Driving-Related Tasks with Different Resource Demands on Driver Gaze Behavior ↗ · 2022 · Xu, Linli et al. · indexed
839. A Multi-Task Cross-Attention Network for Driver Fatigue Detection: A Tobacco Logistics Case Study ↗ · 2026 · Chen, Nan et al. · indexed
840. A machine learning approach to understanding the road and traffic environments of crashes involving driver distraction and inattention (DDI) on rural multilane highways ↗ · 2025 · Yang, Chenxuan et al. · indexed
841. Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research ↗ · 2020 · Lobo, António et al. · indexed
842. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
843. Distracted Driving Enforcement Demonstrations: Lessons Learned · 2020 · Lemaster-Sandbank, Liza et al. · archived
844. Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations ↗ · 2014 · Tawari, Ashish et al. · indexed
845. Effectiveness of Distracted Driving Countermeasures: A Review of the Literature · 2019 · AAA Foundation for Traffic Safety · archived
846. Analyzing the Effect of Distractions and Impairments on Young Driver Safety Using Naturalistic Driving Study Data ↗ · 2023 · Bharadwaj, Nipjyoti et al. · indexed
847. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning ↗ · 2021 · Kulhandjian, Hovannes · indexed
848. Driving Drowsiness Detection and Proactive Safety Using Deep Learning LSTM multimodal of Vision and Vehicle Signals ↗ · 2025 · Sanikal, Vijayachandar · indexed
849. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
850. Factors related to drivers' perception of interference from in-vehicle activities ↗ · 2010 · Horrey, William J. et al. · indexed
851. Study of MTCNN-based driver gaze information visualization ↗ · 2022 · Kim, Hyung-Kyu et al. · indexed
852. U34: driver distraction : an inattention-mitigation component for behavior-based safety programs in commercial vehicle operations (IM-BBS) final report. · 2011 · Victor, Trent et al. · archived
853. A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit ↗ · 2019 · Dao Thanh, Toan et al. · indexed
854. It's All in the Timing: Using the Attend Algorithm to Assess Texting in the Naturalistic Driving Study · 2017 · Seaman, Sean et al. · archived
855. Changes in the sources of distracted driving among Northern Virginia drivers in 2014 and 2018: A comparison of results from two roadside observation surveys ↗ · 2019 · Kidd, David G. et al. · indexed
856. Multi-Modal Biological Driver Monitoring via Ubiquitous Wearable Body Sensor Network ↗ · 2015 · Dehzangi, Omid et al. · indexed
857. The impact of secondary in-vehicle display animations and their location on driver attention and glance behavior · 2024 · Befelein, Dennis et al. · archived
858. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al. · archived
859. A Morphological Method for Driver Fatigue Monitoring ↗ · 2024 · Wu, Wen-Yen · indexed
860. Multimodal Recognition of Cognitive Workload for Multitasking in the Car ↗ · 2010 · Putze, Felix et al. · indexed
861. Driver behavior recognition based on deep convolutional neural networks ↗ · 2016 · Yan, Shiyang et al. · indexed
862. Proposal of a Cost-Effective and Adaptive Customized Driver Inattention Detection Model Using Time Series Analysis and Computer Vision ↗ · 2024 · Sim, Sangwook et al. · indexed
863. How Facial Features Convey Attention in Stationary Environments · 2022 · Domantay, Janelle et al. · archived
864. Crash Studies of Driver Distraction ↗ · 2008 · Gordon, Craig · indexed
865. Drowsiness Detection using CNN · 2024 · Bhosale, Ashwini · archived
866. Vision based eye closeness classification for driver’s distraction and drowsiness using PERCLOS and support vector machines ↗ · 2019 · Mohd Zin, Zalhan et al. · indexed
867. Driver Drowsiness Detection System · 2026 · Kushwaha, Abhishek · archived
868. Getting start with UTDrive: driver-behavior modeling and assessment of distraction for in-vehicle speech systems ↗ · 2007 · Angkititrakul, Pongtep et al. · indexed
869. European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving ↗ · 2023 · Mulhall, Megan et al. · indexed
870. Automatic detection of mind wandering in a simulated driving task with behavioral measures · 2018 · Zhang, Yuyu et al. · archived
871. A reproducible framework for road-view driver behaviour analysis using lane stability and vehicle interaction ​ ↗ · 2026 · Sadu, Chandra Vamsi et al. · indexed
872. Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data · 2019 · Zhang, Lanfang et al. · archived
873. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
874. Are child occupants a significant source of driving distraction? ↗ · 2011 · Koppel, Sjaan et al. · indexed
875. Bedienermodellgestützte Bewertung des Ablenkungspotentials von Komfortsystemen im KFZ in frühen Phasen der Systementwicklung (Model Based Assessment of Driver Distraction by In-Vehicle Information Systems in Early Phases of System Development) ↗ · 2007 · Urbas, Leon et al. · indexed
876. A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room ↗ · 2023 · Jin, Linyi et al. · indexed
877. Modeling of Stimulus-Response Secondary Tasks with Different Modalities while Driving in a Computational Cognitive Architecture ↗ · 2017 · Jeong, Heejin et al. · indexed
878. Allocating Visual Attention: How Relevance to Driving Impacts Attention when 
Drivers are Distracted ↗ · 2011 · Garrison, Teena · indexed
879. Safety on Wheels: Computer Vision for Driver and Passengers Monitoring ↗ · 2023 · Abuomar, Ahmed Mounier et al. · indexed
880. A new system for driver drowsiness and distraction detection ↗ · 2012 · Sabet, Mehrdad et al. · indexed
881. Adaptive Driver Vigilance Monitoring System for Enhanced Road Safety · 2025 · Bodhale, U. N. et al. · archived
882. A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content ↗ · 2022 · Hu, Zhongxu et al. · indexed
883. Intelligent Driver Decision Support System in Vehicle Cabin: Reference Model for Dangerous Events Recognition and Learning ↗ · 2019 · Kashevnik, Alexey et al. · indexed
884. Real-time pose classification for driver monitoring ↗ · 2003 · Xia Liu et al. · indexed
885. Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief] · 2023 · Khattak, Asad J. · archived
886. Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior ↗ · 2018 · Kim, Yeeun et al. · indexed
887. Hierarchical context-aware hand detection algorithm for naturalistic driving ↗ · 2016 · Zhou, Tian et al. · indexed
888. Assessment of cognitive workload of in-vehicle systems using a visual peripheral and tactile detection task setting ↗ · 2012 · Bengler, Klaus et al. · indexed
889. An investigation on the link between driver demographic characteristics and distracted driving by using the SHRP 2 naturalistic driving data ↗ · 2020 · Cao, Haotian et al. · indexed
890. Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network ↗ · 2020 · Cha, Xiaolei et al. · indexed
891. Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors ↗ · 2015 · Wang, Yan et al. · indexed
892. AI based Driver Drowsiness & Distraction Detection ↗ · 2026 · P.B, Prof..Rajole et al. · indexed
893. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
894. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
895. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
896. Deep Learning Solutions for Real-Time Driver Distraction and Drowsiness using Alerts ↗ · 2024 · Rohini Temkar · indexed
897. What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model ↗ · 2023 · Du, Pengcheng et al. · indexed
898. Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation · 2021 · Rangesh, Akshay et al. · archived
899. On-Road Eye Movement Tracking-Glance Analysis of Dynamic Scenes ↗ · 2005 · Sodhi, Manbir S. · indexed
900. Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey ↗ · 2020 · El Khatib, Alaa et al. · indexed
901. U33: Impact of Distraction and Health on Commercial Driving Performance Final Report · 2012 · Fine, Philip Russ et al. · archived
902. Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using Computer Vision Techniques ↗ · 2018 · Chatterjee, Ipshita et al. · indexed
903. Towards multi-modal wearable driver monitoring: Impact of road condition on driver distraction ↗ · 2015 · Dehzangi, Omid et al. · indexed
904. Behavior-Aware Knowledge-Embedded Model for Driver Attention Prediction ↗ · 2025 · Zhou, Yuchen et al. · indexed
905. Driver Drowsiness Detection and Monitoring System using Machine Learning ↗ · 2022 · Chinthalachervu, Rohith et al. · indexed
906. Changes in glance and hands-on-wheel behaviors when engaging with non-driving-related tasks while using Tesla Autopilot ↗ · 2025 · Pipkorn, Linda et al. · indexed
907. Driver Cognitive Load Classification Based on Physiological Data—Case Study 7 · 2021 · He, Dengbo et al. · archived
908. YOLO Deep-Learning Based Driver Behaviors Detection and Effective Gaze Estimation by Head Poses for Driver Monitor System ↗ · 2023 · Fang, Yi-Chiao et al. · indexed
909. Drivers Stress Identification in Real-World Driving Tasks ↗ · 2022 · Bano, Saira et al. · indexed
910. Driver Attention Prediction based on Multi-ScaleFeature Fusion ↗ · 2024 · Yu, Chengbin et al. · indexed
911. Vision-Based Driver Drowsiness and Distraction Detection through Behavioral Indicators of Fatigue ↗ · 2025 · Adhikari, Manoj et al. · indexed
912. A Taxonomy for Secondary In-Vehicle Tasks Based on Eye Glance and Task completion Time ↗ · 2005 · Blanco, Myra et al. · indexed
913. Driver behavior detection method based on convolutional neural network and data enhancement ↗ · 2023 · Yao, Lisha et al. · indexed
914. Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario ↗ · 2022 · Luo, Shuang et al. · indexed
915. Role of Habits in Cell Phone-Related Driver Distractions · 2020 · Hansma, Braden Joseph et al. · archived
916. Milo: An AI-Based Arabic-Enabled Multi-Modal Advanced Driver Assistant System ↗ · 2025 · Sadek, Nour Ahmed et al. · indexed
917. Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks ↗ · 2019 · Wijnands, Jasper S. et al. · indexed
918. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
919. Adaptive Neural Embedded Systems for Real-Time Driver State Monitoring in Advanced Driver Assistance Systems · 2025 · Alagar Raja Govindasamy · archived
920. Classifying driver workload using physiological and driving performance data ↗ · 2014 · Solovey, Erin T. et al. · indexed
921. Hybrid Steering Model depending on Driver's Gazing Point to detect inattentive driving using Machine Learning ↗ · 2019 · Honda, Takuya et al. · indexed
922. Hazard perception performance and psychological factors of distracted drivers: what are the associations? ↗ · 2024 · Watling, Christopher N. et al. · indexed
923. Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators ↗ · 2022 · Perera, Dulan et al. · indexed
924. Multimodal Fusion of Heart Rate and Gaze Data For Real-Time Driver Monitoring in Naturalistic Driving ↗ · 2025 · Alhumaily, Basim et al. · indexed
925. Detection of Driver Drowsiness to Avoid Accidents and Prevent Alertness · 2025 · Khekale, Lalit · archived
926. Mining patterns of near-crash events with and without secondary tasks ↗ · 2021 · Das, Subasish · indexed
927. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
928. The role of self-regulation in the context of driver distraction: A simulator study ↗ · 2016 · Wandtner, Bernhard et al. · indexed
929. Vision-Based Driver Alertness Monitoring Using LSTM-Based Cognitive Drift Analysis and Post- Detection Verification ↗ · 2026 · Kavitha, D.N.S.B et al. · indexed
930. Considerations for the development of a driver distraction safety rating system for new vehicles · 2020 · Imberger, K · archived
931. Implications for traffic safety from car drivers’ secondary task engagement – An economist's view ↗ · 2019 · Jørgensen, Finn et al. · indexed
932. Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display ↗ · 2016 · Langner, Tobias et al. · indexed
933. Driver Inattention Detection based on Eye Gaze—Road Event Correlation ↗ · 2009 · Fletcher, Luke et al. · indexed
934. Passenger Vehicle Driver Detection Based on YOLOv5+Stacking ↗ · 2024 · He, Ying · indexed
935. Driver Drowsiness Detection Using Convolutional Neural Networks ↗ · 2020 · Kepesiova, Zuzana et al. · indexed
936. Real-Time Distracted Driver Detection and Monitoring using Computer Vision ↗ · 2025 · Anusha, K. et al. · indexed
937. TVAR modeling of EEG to detect audio distraction during simulated driving ↗ · 2014 · Dahal, Nabaraj et al. · indexed
938. Measuring Distraction: Task Duration and the Lane-Change Test (LCT) ↗ · 2005 · Burns, Peter C. et al. · indexed
939. How do Environmental Factors Affect Drivers' Gaze and Head Movements? · 2021 · Tavakoli, Arash et al. · archived
940. Distraction and Drowsiness in Motorcoach Drivers: Research Brief · 2016 · NHTSA · archived
941. Development of a driving VR prototype for distraction awareness employing eye tracking ↗ · 2017 · Blanco, Robin et al. · indexed
942. Validity Analysis of Vehicle and Physiological Data for Detecting Driver Drowsiness, Distraction, and Workload ↗ · 2015 · Yang, Ji Hyun et al. · indexed
943. Driver Gaze Zone Dataset With Depth Data ↗ · 2019 · Ribeiro, Rafael F. et al. · indexed
944. Testing a Commercial BCI Device for In-Vehicle Interfaces Evaluation ↗ · 2017 · Louveton, Nicolas et al. · indexed
945. EEG alpha spindles and prolonged brake reaction times during auditory distraction in an on-road driving study ↗ · 2014 · Sonnleitner, Andreas et al. · indexed
946. Virtual Lateral Vehicle Variation Study ↗ · 2018 · Bhattacharya, Sylvia et al. · indexed
947. CLASSIFICATION OF DISTRACTED DRIVER USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS FEATURE REDUCTION AND CONVOLUTIONAL NEURAL NETWORK ↗ · 2023 · Alfajr, Achmad Yuneda et al. · indexed
948. Driver Drowsiness Detection using Machine Learning with Visual Behaviour ↗ · 2021 · Phulari, Shivanand · indexed
949. DGAZE: Driver Gaze Mapping on Road ↗ · 2020 · Dua, Isha et al. · indexed
950. Driver visual attention and in-vehicle touchscreen: the role of short training session · 2026 · Hazoor, Abrar et al. · archived
951. Driver Distraction/Overload Research and Engineering: Problems and Solutions ↗ · 2010 · Green, Paul A. · indexed
952. An new algorithm for analyzing driver's attention state ↗ · 2009 · Keyou Guo et al. · indexed
953. Characterizing Technology's Influence on Distractive Behavior at Signalized Intersections · 2023 · Boni, Jobaidul Alam et al. · archived
954. Systematic review of observational studies on secondary task engagement while driving ↗ · 2018 · Huemer, Anja Katharina et al. · indexed
955. A Roadside Study of Observable Driver Distractions ↗ · 2015 · Sullman, Mark J. M. et al. · indexed
956. Driving under the influence of distraction: Examining dissociations between risk perception and engagement in distracted driving ↗ · 2016 · Rupp, Michael A. et al. · indexed
957. Intelligent Monitoring System: Facial Features Based Driver Drowsiness and Distraction Detection ↗ · 2025 · Tuna, Baris et al. · indexed
958. A Driver Gaze Estimation Method Based on Deep Learning ↗ · 2022 · Shah, Sayyed Mudassar et al. · indexed
959. Key Point-Based Driver Activity Recognition ↗ · 2022 · Vats, Arpita et al. · indexed
960. Good intentions: drivers’ decisions to engage with technology on the road and in a driving simulator ↗ · 2018 · Parnell, Katie J. et al. · indexed
961. Deep Learning Driven Driver Fatigue Detection Using CNN and Temporal Eye Dynamics ↗ · 2026 · K S, Nagashree · indexed
962. Research on testing technology of distraction monitoring system based on driver attention transfer features ↗ · 2025 · Liu, Jiajie et al. · indexed
963. Combining roadside interviews and on-road observation for assessing prevalence of driver inattention ↗ · 2019 · Sagberg, Fridulv et al. · indexed
964. Convolutional Neural Networks (CNN) and Facial Features based Smart Driver Alertness Detection ↗ · 2023 · Kumar, K.V Pavan et al. · indexed
965. An Image Processing Approach to Enhance Driver Distraction and Drowsiness Detection Algorithm ↗ · 2024 · Paul, Aishik et al. · indexed
966. Driver State Estimation Based on Dynamic Bayesian Networks Considering Different Age and Gender Groups ↗ · 2017 · Yang, Ji Hyun et al. · indexed
967. National Survey on Distracted Driving Attitudes and Behaviors -- 2012 · 2013 · Schroeder, Paul et al. · archived
968. Signal-Adaptive and Uninhibited Driver Distraction During Crosswalk Approach: Evidence from the SHRP2 Naturalistic Driving Study ↗ · 2026 · Douglas, Grace et al. · indexed
969. In-Vehicle Affect Detection System ↗ · 2018 · Vasey, Eric et al. · indexed
970. Effects of active and passive secondary tasks in a take-over situation during automated driving ↗ · 2017 · Nakajima, Yutaka et al. · indexed
971. Effect of human–machine interface infotainment systems and automated vehicles on driver distraction ↗ · 2024 · Abbasi, Elahe et al. · indexed
972. Distracted Driver Behaviors and Distracting Conditions Among Adolescent Drivers: Findings From a Naturalistic Driving Study ↗ · 2014 · Foss, Robert D. et al. · indexed
973. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
974. Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: Issues and possibilities ↗ · 2010 · Tran, Cuong et al. · indexed
975. Attention-Based Driver Behavior Monitoring System Using Multi-Modal Deep Learning ↗ · 2026 · Gurrapu, Omprakash et al. · indexed
976. Driver Motion Detection Using Online Sequential Learning ↗ · 2018 · Wang, Qian et al. · indexed
977. Real-time system for monitoring driver vigilance ↗ · 2005 · Bergasa, L.M. et al. · indexed
978. Inattention and distraction in fatal road crashes – Results from in-depth crash investigations in Norway ↗ · 2019 · Sundfør, Hanne Beate et al. · indexed
979. Detecting driver's visual attention area by using vehicle-mounted device ↗ · 2017 · Mizuno, Nobuhiro et al. · indexed
980. 3D-CNN Method for Drowsy Driving Detection Based on Driving Pattern Recognition ↗ · 2024 · Lee, Jimin et al. · indexed
981. The development of driver warning algorithm for safety driving support ↗ · 2016 · Oh, Young-Dal et al. · indexed
982. Towards Driver's State Recognition on Real Driving Conditions ↗ · 2011 · Rigas, George et al. · indexed
983. Road Safety by Detecting Drowsiness while Driving using Machine Learning · 2025 · Pardhi, Piyush · archived
984. Advanced Alarm Method Based on Driver’s State in Autonomous Vehicles ↗ · 2021 · Han, Ji-Hyeok et al. · indexed
985. Real-time Driver Monitoring System Based on Visual Cues ↗ · 2020 · Pondit, Ashish et al. · indexed
986. High-Resolution Neural Network for Driver Visual Attention Prediction ↗ · 2020 · Kang, Byeongkeun et al. · indexed
987. Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios ↗ · 2024 · Bendahmane, Mohammed et al. · indexed
988. Effect of age and secondary task engagement on motor vehicle crashes in a naturalistic setting ↗ · 2020 · Calvo, Jose A. et al. · indexed
989. Leading to distraction: Driver distraction, lead car, and road environment ↗ · 2016 · Kountouriotis, Georgios K. et al. · indexed
990. Distraction ‘on the buses’: A novel framework of ergonomics methods for identifying sources and effects of bus driver distraction ↗ · 2011 · Salmon, Paul M. et al. · indexed
991. Understanding the Psychological Factors Underlying Smartphone Related Distracted Driving: Exploratory Analysis Using a Nationwide Survey · 2018 · Konduri, Karthik et al. · archived
992. PRISM-MTL: Inter-Modal Selective Multi-Task Learning for Assistive Driving Perception ↗ · 2026 · Kim, Minjun et al. · indexed
993. Personalized Driver Workload Estimation in Real-World Driving ↗ · 2018 · Murphey, Yi et al. · indexed
994. An EEG-based brain–computer interface for dual task driving detection · 2014 · Wang, Yu-Kai et al. · archived
995. Detecting Driver Drowsiness With Multi-Sensor Data Fusion Combined With Machine Learning · 2021 · Kulhandjian, Hovannes · archived
996. Vision based Eye Closeness Classification for Driver’s Distraction and Drowsiness Using PERCLOS and Support Vector Machines: Comparative Study between RGB and Grayscale Images ↗ · 2019 · Hazirah Rodzi, Anis et al. · indexed
997. DRIVER ALERTNESS DETECTION USING OPENCV IN PYTHON ↗ · 2019 · Kanade, Dnyaneshwar et al. · indexed
998. A monitoring method of driver mouth behavior based on machine vision ↗ · 2004 · Chu Jiangwei et al. · indexed
999. Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al. · indexed
1000. Determining Sample Measures of Distracted Driving, Distracted Pedestrian Activities and Impacts of Such Behavior on Traffic Operations at Signalized Intersections · 2022 · Abou-Senna, Hatem et al. · archived
1001. Road lighting and distraction whilst driving: Establishing the significant types of distraction ↗ · 2020 · Robbins, CJ et al. · indexed
1002. Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring ↗ · 2020 · Rong, Yao et al. · indexed
1003. Video-Based Abnormal Driving Behavior Detection via Deep Learning Fusions · 2019 · Huang, Wei et al. · archived
1004. An Assessment of Commercial Motor Vehicle Driver Distraction Using Naturalistic Driving Data ↗ · 2012 · Hickman, Jeffrey S. et al. · indexed
1005. Automated Detection of Driver Fatigue Using Deep Neural Networks in Vehicles ↗ · 2023 · Kumar, Mr M. Arun et al. · indexed
1006. Principle for the Validation of a Driving Support using a Computer Vision-Based Driver Modelization on a Simulator ↗ · 2015 · Rouzier, Baptiste et al. · indexed
1007. Brain activity during driving with distraction: an immersive fMRI study ↗ · 2013 · Schweizer, Tom A. et al. · indexed
1008. The effects of iPod and text-messaging use on driver distraction: a bio-behavioral analysis ↗ · 2012 · Mouloua, M. et al. · indexed
1009. Cognitive Distraction in the Wild ↗ · 2015 · Fisher, Donald L. · indexed
1010. Research on Driver Fatigue and Distraction Detection Method Based on YOLOv8 Algorithm ↗ · 2025 · Bai, Jing et al. · indexed
1011. Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al. · indexed
1012. Distracting behaviors among teenagers and young, middle-aged, and older adult drivers when driving without and with warnings from an integrated vehicle safety system ↗ · 2017 · Kidd, David G. et al. · indexed
1013. Driver monitoring using the in-vehicle camera ↗ · 2019 · Masanovic, Luka et al. · indexed
1014. Drive Safe Inspector: A Wearable-Based Fine-Grained Technique for Driver Hand Position Detection ↗ · 2018 · Chen, Huangxun et al. · indexed
1015. Can EEG Measurements be Used to Estimate the Performance of Taking over Control from an Autonomous Vehicle for Different Levels of Distracted Driving? An Explorative Study ↗ · 2022 · Van Miltenburg, Maykel M.P.G. et al. · indexed
1016. Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods ↗ · 2019 · Lindow, Friedrich et al. · indexed
1017. Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification ↗ · 2020 · Barua, Shaibal et al. · indexed
1018. Multimodal Features for Detection of Driver Stress and Fatigue: Review · 2020 · Němcová, Andrea et al. · archived
1019. Eye-Glance Frequency as a Function of Driver's Intent to Change Lanes ↗ · 2018 · Bhattacharya, Sylvia et al. · indexed
1020. Assessing Driver Distraction Due to In-Vehicle Video Systems through Field Testing at the Pecos Research and Testing Center ↗ · 2007 · Funkhouser, Dillon et al. · indexed
1021. Modeling Required Driver Attention Level Based On Environmental Risk Factors Using Deep Convolutional Neural Networks ↗ · 2021 · Withanawasam, Jayani et al. · indexed
1022. Mitigating Driver's Distraction: Automotive Head-Up Display and Gesture Recognition System · 2019 · Lagoo, Ramesh et al. · archived
1023. Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS · 2024 · Hasan, Aamir et al. · archived
1024. Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification ↗ · 2017 · Zheng, Yang et al. · indexed
1025. Examining the Relationships between Multimodal Environments and Multitasking Driving Behaviors ↗ · 2022 · Zou, Tianqi et al. · indexed
1026. Using tactile displays to maintain situational awareness during driving ↗ · 2013 · Howard, M. et al. · indexed
1027. A Simple Approach to Implementing a System for Monitoring Driver Inattention ↗ · 2006 · Su, Mu-Chun et al. · indexed
1028. Subspace eyetracking for driver warning ↗ · 2004 · De la Torre, F. et al. · indexed
1029. Software Centric Driver Fatigue Discernment System Using Computer Vision ↗ · 2022 · Agrawal, Meghna et al. · indexed
1030. Driver Alertness Identification And Alarming System Using Haar Cascade Algorithm · 2022 · R. Vadivel et al. · archived
1031. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al. · indexed
1032. Frequency and severity of in-vehicle distractions:A self-report survey ↗ · 2009 · Lansdown, Terry C. · indexed
1033. CogMamba: Multi-Task Driver Cognitive Load and Physiological Non-Contact Estimation with Multimodal Facial Features ↗ · 2025 · Xie, Yicheng et al. · indexed
1034. Comparison of Multimodal Features for Detecting Driver Drowsiness using different dataset ↗ · 2021 · Priya, V. Vijay et al. · indexed
1035. Distracted Driver Monitoring System Using AI ↗ · 2022 · Darapaneni, Narayana et al. · indexed
1036. Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study ↗ · 2015 · Paone, J. et al. · indexed
1037. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation ↗ · 2022 · Regan, Michael A. et al. · indexed
1038. Harnessing Transfer Learning for Multimodal Driver Drowsiness Detection: CNN-Based Pretrained Models ↗ · 2025 · Ahmad, Khubab et al. · indexed
1039. Commercial motor vehicle driving performance: An examination of attentional resources and control using a driving simulator. ↗ · 2017 · McManus, Benjamin et al. · indexed
1040. Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving ↗ · 2016 · Cabrall, Christopher et al. · indexed
1041. Driver Drowsiness Detection Based on Face Feature and Perclos ↗ · 2021 · Gopi, S. et al. · indexed
1042. A gaze-based driver distraction countermeasure: Comparing effects of multimodal alerts on driver's behavior and visual attention ↗ · 2025 · Lachance-Tremblay, Jérémy et al. · indexed
1043. Driver Attention Prediction Based on Adaptive Fusion of Cross-Modal Features ↗ · 2026 · Zhang, Mingfang et al. · indexed
1044. Driver Attention Area Extraction Method Based on Deep Network Feature Visualization ↗ · 2020 · Han, Guodong et al. · indexed
1045. Driver drowsiness recognition based on computer vision technology ↗ · 2012 · Zhang, Wei et al. · indexed
1046. Computer Vision-based Driver Fatigue Detection Framework with Personalization Threshold and Multi-feature Fusion ↗ · 2023 · Li, Xiaolei et al. · indexed
1047. Fusion of driver-information based driver status recognition for co-pilot system ↗ · 2016 · Jinwoo Kim et al. · indexed
1048. Identifying Modes of Intent from Driver Behaviors in Dynamic Environments · 2015 · Driggs-Campbell, Katherine et al. · archived
1049. Assessing error recognition in automated driving ↗ · 2011 · Spiessl, W. et al. · indexed
1050. The Effects of Voice Technology on Test Track Driving Performance: Implications for Driver Distraction ↗ · 2002 · Ranney, Thomas A. et al. · indexed
1051. Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers ↗ · 2014 · Klauer, Sheila G. et al. · indexed
1052. HyHOPE: Hybrid Head Orientation and Position Estimation for vision-based driver head tracking ↗ · 2008 · Murphy-Chutorian, Erik et al. · indexed
1053. Understanding driver distractions in fatal crashes: An exploratory empirical analysis ↗ · 2019 · Qin, Lingqiao et al. · indexed
1054. Driver Drowsiness Detection using CNN · 2024 · Bankar, Jaitee · archived
1055. Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator ↗ · 2018 · Koohestani, Afsaneh et al. · indexed
1056. Driver body condition monitoring system based on human-computer interaction · 2024 · Hou, Zhenyang et al. · archived
1057. Leveraging explainable artificial intelligence to improve advanced driver assistance systems through driver eye-tracking interpretation ↗ · 2026 · Sulle, Methusela et al. · indexed
1058. Driver behavioural classification from trajectory data ↗ · 2005 · Rigolli, Marco et al. · indexed
1059. Hard Spatial Attention Framework for Driver Action Recognition at Nighttime ↗ · 2023 · Abdullah, Karam et al. · indexed
1060. Non-Driving-Related Task Engagement: The Role of Speed ↗ · 2022 · Seaman, Sean et al. · indexed
1061. Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors ↗ · 2018 · Lee, Kwan et al. · indexed
1062. Research on young drivers’ workload based on simulated distracted driving test ↗ · 2026 · Zhao, Xiaoping et al. · indexed
1063. A Multi-Sensor Late Fusion Framework for Driver Cognitive State Detection ↗ · 2025 · Raafay Umar, S A et al. · indexed
1064. The Effects of Divided Attention and Cognitive Distraction on Driver’s Performance Among People Aged over 65 · 2017 · Heidari, Mahdi Ebnali et al. · archived
1065. Driver Attention Region Prediction Based on Multi-Attention Mechanism Multi-Scale Fusion Network ↗ · 2026 · Chen, Yunxing et al. · indexed
1066. Model-based analysis of driver distraction by infotainment systems in automotive domain ↗ · 2017 · Broccia, Giovanna · indexed
1067. Investigating the Feasibility of Vehicle Telemetry Data as a Means of Predicting Driver Workload · 2017 · Taylor, Phillip et al. · archived
1068. Cocktail Party Effect& Attention Capture in Semi-Autonomous Driving · 2013 · Tobias, Crystal et al. · archived
1069. On the Use of Real-Time Multi-Object Detection and Classification for Automated Assessment of Operator Visual Attention Allocation ↗ · 2023 · Choi, Minseop et al. · indexed
1070. Functional connectivity analysis of distracted drivers based on the wavelet phase coherence of functional near-infrared spectroscopy signals ↗ · 2017 · Xu, Gongcheng et al. · indexed
1071. Driver activity analysis for intelligent vehicles: issues and development framework ↗ · 2005 · Park, S. et al. · indexed
1072. Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features ↗ · 2023 · Albadawi, Yaman et al. · indexed
1073. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
1074. REAL TIME DRIVER ALERTNESS MONITORING USING MACHINE LEARNING · 2026 · B.GNANESHWAR et al. · archived
1075. Visionguard: An Intelligent Driver Behavior Monitoring System Using OpenCV for Enhanced Road Safety and Accident Prevention ↗ · 2026 · Ramya, R. et al. · indexed
1076. Visual-Manual Driver Distraction Guidelines Test Procedures – Task Acceptance Testing Occlusion and Eye Glance Measurement Using Driving Simulator Testing · 2019 · NHTSA · archived
1077. FocusDrive: Edge AI Device System for Real-Time Driver Distraction Detection Using Geometric Rules and Quantum-Optimized Cnns ↗ · 2025 · Mantrala, Shashank et al. · indexed
1078. An Evaluation of the Use of Odds Ratios to Estimate the Association between Mobile Phone Use and Safety Critical Driving Events · 2022 · Reed, Nick et al. · archived
1079. Multimodal Physiological Assessment of the Task-related Attentional States in a VR Driving Environment ↗ · 2022 · Zhu, Wenchao et al. · indexed
1080. Integrated Multimodal System for Real-Time Driver Fatigue Detection and Cognitive Load Assessment ↗ · 2025 · Jirjees, Abdullah et al. · indexed
1081. Distracted Driving Using Mobile Phone ↗ · 2021 · Ali, Atheer Muhammed · indexed
1082. DRIVERS’ EYE GLANCE TRANSITIONS AND THE IMPLICATIONS ON THE MICROSCOPIC TRAFFIC AND ACCIDENT SIMULATION ↗ · 2017 · KIM, YEEUN et al. · indexed
1083. SafeDrive-V2V: A Real-Time Driver Distraction Detection Framework Using CIRNet and V2V Safety Communication ↗ · 2026 · Ramachandran, Sivaranjani et al. · indexed
1084. Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data ↗ · 2024 · Teshima, Takaaki et al. · indexed
1085. Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm ↗ · 2020 · Dreisig, Mariella et al. · indexed
1086. Driver distraction and fatigue detection in images using ME‐YOLOv8 algorithm ↗ · 2024 · Debsi, Ali et al. · indexed
1087. DRIVER DROWSINESS DETECTION FOR BEHAVIORAL ANALYSIS ↗ · 2022 · Yadav, Shivani · indexed
1088. A Framework for Robust Driver Gaze Classification ↗ · 2016 · Fridman, Lex et al. · indexed
1089. The Impact of Hand-Held and Hands-Free Cell Phone Use on Driving Performance and Safety-Critical Event Risk · 2013 · Fitch, Gregory M. et al. · archived
1090. Real-time system for monitoring driver vigilance ↗ · 2004 · Bergasa, L.M. et al. · indexed
1091. The Influence of Drinking, Texting, and Eating on Simulated Driving Performance · 2015 · Irwin, Christopher et al. · archived
1092. Design and Implementation of an Image-Based Driver Attention Warning System on Low-Cost DSP Platform ↗ · 2010 · Liao, Yu-Sheng et al. · indexed
1093. Secondary task and situation awareness, a mobile application for conditionally automated vehicles ↗ · 2019 · Capallera, Marine et al. · indexed
1094. Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving ↗ · 2025 · Chen, Pei-Ru et al. · indexed
1095. Monitoring Driver’s Drowsiness Status at Night Based on Computer Vision ↗ · 2021 · Valsan A, Vidhu et al. · indexed
1096. Effective driver distraction warning system incorporating fast image recognition methods ↗ · 2024 · Nguyen, Van Binh et al. · indexed
1097. On-Road Evaluation of Destination Entry and Way-Finding Tasks: Comparisons Against Normal Driving ↗ · 2011 · Perez, Miguel et al. · indexed
1098. Distraction and Inattention Countermeasure Technologies ↗ · 2011 · Victor, Trent · indexed
1099. Night Vision - Reduced Driver Distraction, Improved Safety and Satisfaction · 2009 · Fuchs, Klaus et al. · archived
1100. A Multimodal Approach for Monitoring Driving Behavior and Emotions ↗ · 2020 · Tavakoli, Arash et al. · indexed
1101. Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines · 2024 · Angkan, Prithila et al. · archived
1102. Looking-in and looking-out vision for Urban Intelligent Assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking ↗ · 2014 · Tawari, Ashish et al. · indexed
1103. The effects of using a portable music player on simulated driving performance and task-sharing strategies ↗ · 2012 · Young, Kristie L. et al. · indexed
1104. A Cascaded Multimodal Natural User Interface to Reduce Driver Distraction ↗ · 2020 · Kim, Myeongseop et al. · indexed
1105. Judging Thieves of Attention ↗ · 2015 · Hancock, Peter A. et al. · indexed
1106. Real-Time Bus Driver Monitoring System Using Machine Learning ↗ · 2024 · Kadu, Anil et al. · indexed
1107. Implementation of a Non-Contact Driver Monitoring System with Enhanced Object Detection and Pose Estimation ↗ · 2024 · Lin, Hsuan-Yu et al. · indexed
1108. Driver Drowsiness Detection · 2024 · Zeki Ablahd, Ann et al. · archived
1109. A Survey on State-of-the-Art Drowsiness Detection Techniques · 2019 · Ramzan, Muhammad et al. · archived
1110. Driver drowsiness monitoring by learning vehicle telemetry data ↗ · 2017 · Vasudevan, Kashyap et al. · indexed
1111. DriveSafe-AI: A Real-Time Browser-Based System for Driver Drowsiness and Distraction Detection ↗ · 2026 · Sai, Sammangi Krupa · indexed
1112. Attention maintenance training: Are young drivers getting better or being more strategic? ↗ · 2019 · Unverricht, James et al. · indexed
1113. Monitoring head/eye motion for driver alertness with one camera ↗ · 2002 · Smith, P. et al. · indexed
1114. Development & Testing of a Camera-Based Driver Monitoring System ↗ · 2024 · Bhagat, Ajinkya et al. · indexed
1115. Driver Drowsiness Detection Using Deep Convolutional Neural Network ↗ · 2021 · Farahnakian, Farshad et al. · indexed
1116. A Review Study on the Use of Oculometry in the Assessment of Driver Cognitive States ↗ · 2021 · Dang, Thomas et al. · indexed
1117. Driver Drowsiness Monitoring using Convolutional Neural Networks ↗ · 2021 · Victoria, D. Rosy Salomi et al. · indexed
1118. Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving ↗ · 2026 · Fernandez-Matellan, Raul et al. · indexed
1119. Real-Time Driver Distraction Detection System Using Embedded Vision ↗ · 2026 · T, Venkat Raman · indexed
1120. Detection of Driver Workload Using Wrist-Worn Wearable Sensors: A Feasibility Study ↗ · 2020 · Tanaka, Ryuto et al. · indexed
1121. Drowsy driver detection using representation learning ↗ · 2014 · Dwivedi, Kartik et al. · indexed
1122. Hybrid Quantum Neural Network with Self-Attention for Automated Detection of Distraction-Induced Driver Inattention and Stress from Multimodal Wearable Biosignals ↗ · 2026 · Pavan, Kaveti et al. · indexed
1123. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al. · archived
1124. Passenger-Driver Distinguishing Test for Pokémon Go · 2017 · Khanade, Kunal et al. · archived
1125. An Overview of Machine Learning Methods used in Fatigue Driving Detection ↗ · 2022 · Dong, Liuqing et al. · indexed
1126. The Effects of a Scheduled Driver Engagement Strategy in Automated Driving ↗ · 2015 · Blommer, Mike et al. · indexed
1127. Drowsiness Detection of Driver ↗ · 2022 · Jyothi, B et al. · indexed
1128. Eye Glance and Head Turn Correspondence during Secondary Task Performance in Simulator Driving ↗ · 2013 · Talamonti, Walter J. et al. · indexed
1129. Determining driver perceptions about distractions and modeling their effects on driving behavior at different age groups ↗ · 2022 · Gazder, Uneb et al. · indexed
1130. A hybrid accident prevention framework towards Driver Fatigue and Distraction Detection using YoloV10 architecture ↗ · 2025 · Karthigavani, N et al. · indexed
1131. Driver Vigilance State Estimation Based on Multisource Data ↗ · 2023 · Guo, Zizheng et al. · indexed
1132. Towards a Driver Monitoring System for Estimating Driver Situational Awareness ↗ · 2019 · Hijaz, Ala’aldin et al. · indexed
1133. Safety implications of providing real-time feedback to distracted drivers ↗ · 2007 · Donmez, Birsen et al. · indexed
1134. Towards online detection of driver distraction: Eye-movement simulation based on a combination of vestibulo–ocular reflex and optokinetic reflex models ↗ · 2019 · Le, Anh Son et al. · indexed
1135. Driver Monitoring System Using Deep Learning Techniques ↗ · 2024 · Ibrahim, Moustafa et al. · indexed
1136. Driver Monitoring System Using Machine Learning ↗ · 2023 · M. D. Ingle et al. · indexed
1137. Keeping Drivers Alert: A Solution for Monitoring Driver Attention in Assisted-Driving Vehicles ↗ · 2023 · Jutreša, Robert et al. · indexed
1138. Modeling the Effect of Subtask Boundaries on Driver Glance Behavior ↗ · 2017 · Lee, Ja Young et al. · indexed
1139. Efficient Car Alarming System for Fatigue Detection during Driving ↗ · 2012 · Khan, Muhammad · indexed
1140. Analysis of Different Measures to Detect Driver States: A Review ↗ · 2019 · Murugan, Suganiya et al. · indexed
1141. Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance ↗ · 2018 · Gwak, Jongseong et al. · indexed
1142. Applying NHTSA task acceptance criteria to different simulated driving scenarios ↗ · 2015 · Large, David R et al. · indexed
1143. Improving performance of public transit buses by minimizing driver distraction ↗ · 2012 · D’Souza, K. A. et al. · indexed
1144. Impact des situations d'attention partagée sur le traitement de l'information chez les conducteurs novices ↗ · 2010 · Hamama, H. · indexed
1145. Revised Odds Ratio Estimates of Secondary Tasks: A Re-Analysis of the 100-Car Naturalistic Driving Study Data ↗ · 2015 · Young, Richard · indexed
1146. Naturalistic Driving Scenario Recognition with Multimodal Data ↗ · 2022 · Wang, Ke et al. · indexed
1147. Non-driving-related tasks during level 3 automated driving phases–measuring what users will be likely to do. ↗ · 2021 · Shi, Elisabeth et al. · indexed
1148. Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation ↗ · 2021 · Ye, Mu et al. · indexed
1149. Classification of Driver Cognitive Load based on Physiological Data: Exploring Recurrent Neural Networks · 2022 · Kumar, Shekhar et al. · archived
1150. A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction · 2018 · Lint, Hans van et al. · archived
1151. A survey on driver behavior detection techniques for intelligent transportation systems ↗ · 2017 · Chhabra, Rishu et al. · indexed
1152. Self-Supervised Driver Distraction Detection for Imbalanced Datasets ↗ · 2025 · Bhardwaj, Suraj et al. · indexed
1153. Countermeasures for Distracted Driving: An Exploration Beyond the Scientific Literature · 2024 · AAA Foundation for Traffic Safety · archived
1154. Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes ↗ · 2023 · Moradi, Morteza et al. · indexed
1155. Low-distraction Interaction · 2019 · Lane, Ian et al. · archived
1156. Invisible Sensing of Vehicle Steering with Smartphones ↗ · 2015 · Chen, Dongyao et al. · indexed
1157. Driver Drowsiness Detection Based on Face Feature and PERCLOS ↗ · 2018 · Junaedi, Suhandi et al. · indexed
1158. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al. · archived
1159. Driver Drowsiness Detection and Monitoring System (DDDMS) ↗ · 2022 · Rozali, Raz Amzar Fahimi et al. · indexed
1160. Evaluation of Gesture-Based In-Vehicle Interaction: User Experience and the Potential to Reduce Driver Distraction ↗ · 2019 · Graichen, Lisa et al. · indexed
1161. Human Computer Interface Using Electroencephalography for Driver Behavior Classification ↗ · 2019 · Manchala, Vamsi K. et al. · indexed
1162. Monitoring Driver Alertness with OpenCV and Machine Learning ↗ · 2025 · Kumar, Amareswar et al. · indexed
1163. HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning · 2020 · Abbas, Qaisar · archived
1164. Evaluating Driver Distraction Factors in Urban Motorways. A Naturalistic Study Conducted in Attica Tollway, Greece ↗ · 2016 · Misokefalou, Eleni et al. · indexed
1165. Is Talking to Your Car Dangerous? It Depends ↗ · 2015 · Lee, John D. et al. · indexed
1166. Research on Driver Status Recognition System of Intelligent Vehicle Terminal Based on Deep Learning ↗ · 2021 · Xu, Yiming et al. · indexed
1167. Human-computer Interaction for Driver Fatigue Detection through Micro-expressions ↗ · 2023 · Zhang, Jinzhao · indexed
1168. Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques ↗ · 2017 · Ngxande, Mkhuseli et al. · indexed
1169. Truck Driving Distractions ↗ · 2014 · Sollins, Brandon et al. · indexed
1170. Modeling Lateral Control Behaviors of Distracted Drivers for Haptic-Shared Steering System ↗ · 2023 · Xu, Fei-Xiang et al. · indexed
1171. Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion ↗ · 2021 · Jia, Huijie et al. · indexed
1172. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al. · archived
1173. Educating Idaho Teenage Drivers of the Dangers of Distracted Driving · 2017 · Larrea, Meagan et al. · archived
1174. Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos ↗ · 2014 · Tawari, Ashish et al. · indexed
1175. The Critical Tracking Task ↗ · 2013 · Petzoldt, Tibor et al. · indexed
1176. DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles · 2023 · Bonyani, Mahdi et al. · archived
1177. Residual Attention Capsule Network for Multimodal EEG- and EOG-Based Driver Vigilance Estimation ↗ · 2023 · Pan, Jiahui et al. · indexed
1178. Application to Detect Driver Distraction Using Haar Cascade Method ↗ · 2023 · Zainuddin, Natasyha et al. · indexed
1179. An Improved Driver Drowsiness Detection using Haar Cascade Classifier ↗ · 2023 · S. Saranya, S. et al. · indexed
1180. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data · 2020 · Pakdamanian, Erfan et al. · archived
1181. Visionguard: an AI-Driven Real-Time Driver Attention and Distraction Monitoring System using Deep Learning ↗ · 2026 · I., Eswari et al. · indexed
1182. Two-Stream Spatial–Temporal Transformer Networks For Driver Drowsiness Detection ↗ · 2023 · Qianyi Jiang, Qianyi Jiang et al. · indexed
1183. Smartwatches are more distracting than mobile phones while driving: Results from an experimental study ↗ · 2021 · Brodeur, Mathieu et al. · indexed
1184. Looking Inside Out: Anticipating Driver Intent From Videos ↗ · 2024 · Kung, Yung-Chi et al. · indexed
1185. National Survey on Distracted Driving Attitudes and Behaviors - 2015 · 2018 · Schroeder, Paul et al. · archived
1186. Visual attention computation in video of driving environment ↗ · 2014 · Han, Junwei et al. · indexed
1187. National Telephone Survey on Distracted Driving Attitudes and Behaviors – 2012 [Traffic Tech] · 2013 · NHTSA · archived
1188. EEG Alpha Spindles as Indicators for Prolonged Brake Reaction Time During Auditory Secondary Tasks in a Real Road Driving Study ↗ · 2011 · Schrauf, M. et al. · indexed
1189. Differences in Off-Road Glances: Effects on Young Drivers’ Performance ↗ · 2010 · Donmez, Birsen et al. · indexed
1190. Vision-based methods for driver monitoring ↗ · 2004 · Wahlstrom, E. et al. · indexed
1191. Drowsiness monitoring based on driver and driving data fusion · 2011 · Daza, Iván García et al. · archived
1192. An Adaptive FCW System Based on Driver Attention States ↗ · 2025 · Zhu, Siyuan et al. · indexed
1193. DriveCare: A Real-Time Vision Based Driver Drowsiness Detection Using Multiple Convolutional Neural Networks With Kernelized Correlation Filters (MCNN-KCF) ↗ · 2020 · Gopikrishnan, U et al. · indexed
1194. Multimodal Driver Interaction with Gesture, Gaze and Speech ↗ · 2019 · Aftab, Abdul Rafey · indexed
1195. Intelligent Driver Monitoring System for Detecting Fatigue and Distraction through Speech Analysis ↗ · 2025 · Shilaskar, Swati et al. · indexed
1196. Risky Driver Identification Using Beta Regression Based on Naturalistic Driving Data ↗ · 2023 · Zhang, Shile et al. · indexed
1197. Workload Changes in Teenaged Drivers Driving with Distractions ↗ · 2005 · Slick, Renee F et al. · indexed
1198. Distracted Driving in Teens with and without ADHD · 2010 · Stavrinos, Despina · archived
1199. In-vehicle driver distractions: characteristics underlying drivers’ risk perceptions ↗ · 2009 · Titchener, Kirsteen et al. · indexed
1200. AI Based Driver Fattigue and Distraction Detection ↗ · 2025 · Shrutika Bothe et al. · indexed
1201. Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring ↗ · 2011 · Du, Yong et al. · indexed
1202. Personalized Driver Workload Inference by Learning From Vehicle Related Measurements · 2019 · Yi, Dewei et al. · archived
1203. Driver Distraction Impact on Road Safety: A Data-driven Simulation Approach ↗ · 2021 · Kandeel, Amany A. et al. · indexed
1204. A Novel Driving Behavior Learning and Visualization Method With Natural Gaze Prediction ↗ · 2021 · Yuan, Guoliang et al. · indexed
1205. Quantifying Drowsy Driving [Traffic Safety Facts Research Note] · 2020 · NHTSA · archived
1206. Effect of Driver Distraction on Traffic Flow Stability via Desired Safety Margin Model ↗ · 2018 · Zhang, Junjie et al. · indexed
1207. Emotion-Aware Contextual Modelling for Robust Driver Fatigue Detection ↗ · 2026 · Budzan, Sebastian et al. · indexed
1208. Classifying Drivers' Cognitive Load Using EEG Signals ↗ · 2017 · Barua Shaibal et al. · indexed
1209. Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies ↗ · 2017 · Oviedo-Trespalacios, Oscar et al. · indexed
1210. Deep Learning Model Enabled for Distracted Driver Behavior Detection ↗ · 2024 · Singh, Kirti · indexed
1211. A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability ↗ · 2023 · Khanehshenas, Farin et al. · indexed
1212. The Occlusion Procedure for Assessing in-Vehicle Telematics: Tests of Current Vehicle Systems ↗ · 2006 · Harbluk, J.L. et al. · indexed
1213. HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands ↗ · 2018 · Rangesh, Akshay et al. · indexed
1214. Understanding and Detecting Divided Attention in Mobile MOOC Learning ↗ · 2017 · Xiao, Xiang et al. · indexed
1215. Driver Drowsiness Detection ↗ · 2022 · Sakshi Bhoir et al. · indexed
1216. Deep Learning Based Real-Time Driver Emotion Monitoring ↗ · 2018 · Verma, Bindu et al. · indexed
1217. Mechanisms behind distracted driving behavior: The role of age and executive function in the engagement of distracted driving ↗ · 2017 · Pope, Caitlin Northcutt et al. · indexed
1218. Analysis and detection of cognitive load and frustration in drivers' speech ↗ · 2010 · Bořil, Hynek et al. · indexed
1219. Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al. · archived
1220. Realization of a Safe Driving Monitoring System for Motor Vehicles ↗ · 2024 · Lin, Hongxiang et al. · indexed
1221. On the Application of Human Pose Estimation in a Driver Condition Monitoring Task ↗ · 2024 · Pavlikov, Artem et al. · indexed
1222. Driver Behaviour Detection Using Multimodal Physiological Signals and Regularized Deep Kernel Learning ↗ · 2025 · Kaveti, Pavan et al. · indexed
1223. Distracted Driving Behaviors and Beliefs among Older Adults: A LongROAD Analysis of the Training, Research, and Education for Driving Safety Study · 2017 · AAA Foundation for Traffic Safety · archived
1224. Review of driving performance parameters critical for distracted driving research ↗ · 2017 · Papantoniou, Panagiotis et al. · indexed
1225. Beyond the billboard: A review of other external sources of driver distraction ↗ · 2024 · Hinton, Jane et al. · indexed
1226. Detection method for driver's gaze direction based on improved VGG network ↗ · 2023 · Wang, Haowen et al. · indexed
1227. Evaluation of NHTSA Distracted Driving Demonstration Projects in Connecticut and New York · 2012 · Chaudhary, Neil K. et al. · archived
1228. An Explainable Real-Time Driver Drowsiness Detection System Using Vision Transformers and Behavioral Fatigue Indicators · 2026 · Pisolla Rahul, Mohammed Afridi et al. · archived
1229. Adaptive Frame-Aware Network for Driver Monitoring Systems ↗ · 2024 · Chikh, Khaled et al. · indexed
1230. Driver Drowsiness Detection Using Machine Learning ↗ · 2023 · Ritesh, Aryan et al. · indexed
1231. Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al. · archived
1232. Real-time driver activity detection using advanced deep learning models ↗ · 2025 · AL Emran, Md. et al. · indexed
1233. ICMFed: An Incremental and Cost-Efficient Mechanism of Federated Meta-Learning for Driver Distraction Detection ↗ · 2023 · Guo, Zihan et al. · indexed
1234. Real-Time Detection of Driver Distraction Due to Alcohol and Fatigue ↗ · 2025 · M.O, Ramkumar. et al. · indexed
1235. Cognitive workload using interactive voice messaging systems ↗ · 2016 · Coleman, JR et al. · indexed
1236. Characterizing the Effect of Videophone Conversations on Intersection Driving Performance ↗ · 2015 · Gaspar, John G et al. · indexed
1237. Keep Your Eyes on the Road: Young Driver Crash Risk Increases According to Duration of Distraction ↗ · 2014 · Simons-Morton, Bruce G. et al. · indexed
1238. Real‐Time Non‐Driving Behavior Recognition Using Deep Learning‐Assisted Triboelectric Sensors in Conditionally Automated Driving ↗ · 2022 · Zhang, Haodong et al. · indexed
1239. Head pose-free eye gaze prediction for driver attention study ↗ · 2017 · Yafei Wang et al. · indexed
1240. Driving performance analysis of the ACAS FOT data and recommendations for a driving workload manager. · 2006 · Eoh, Hong et al. · archived
1241. Driver attention level estimation using driver model identification ↗ · 2019 · Nishigaki, Morimichi et al. · indexed
1242. Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach · 2025 · Hassan, Osama F. et al. · archived
1243. VTD: Visual and Tactile Dataset for Driver State and Behavior Detection ↗ · 2025 · Wang, Jie et al. · indexed
1244. A review of the approaches for enhancing driver safety through camera-based monitoring ↗ · 2024 · Egelja, Maksim et al. · indexed
1245. Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution ↗ · 2020 · Zhou, Xunfei et al. · indexed
1246. Traffic Camera Dangerous Driver Detection (TCD3) ↗ · 2017 · Prasad, Vidur · indexed
1247. Driving distracted with friends: Effect of passengers and driver distraction on young drivers’ behavior ↗ · 2019 · Zhang, Fangda et al. · indexed
1248. Visual attention for behavioral cloning in autonomous driving ↗ · 2019 · Mohandoss, Tharun et al. · indexed
1249. Risk quantification and prediction of non-driving-related tasks on drivers' critical intervention behavior in autonomous driving scenarios ↗ · 2024 · Wang, Junhua et al. · indexed
1250. Identification of Driver Status Hazard Level and the System ↗ · 2023 · Gong, Jiayuan et al. · indexed
1251. Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
1252. Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety ↗ · 2025 · Das, Subasish et al. · indexed
1253. Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method ↗ · 2022 · Fan, Chaojie et al. · indexed
1254. Geometry-Prior Guided Dual-Stream Recognition Network for Accurate Occupant Behavior Monitoring in Intelligent Vehicle ↗ · 2026 · Fu, Zhijun et al. · indexed
1255. Fatigue driving detection method based on multi-task cascaded convolutional network ↗ · 2021 · Chen, Kai et al. · indexed
1256. Decoding the cognitive states of attention and distraction in a real-life setting using EEG · 2022 · Kaushik, Pallavi et al. · archived
1257. Research on fatigue driving detection methods ↗ · 2022 · Qin, Ge et al. · indexed
1258. Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning ↗ · 2025 · Jia, Lesong et al. · indexed
1259. Fatigue and distraction warning system for autonomous vehicle drivers in the process of three-level autonomous driving · 2024 · Sun, Haoran · archived
1260. Detecting mobile phone usage while driving a vehicle using AI and AR ↗ · 2023 · Kuruva, Keshav Prasad · indexed
1261. Towards Developing a Distraction-Reduced Hands-Off Interactive Driving Experience using Portable Smart Devices ↗ · 2016 · Zheng, Yang et al. · indexed
1262. Examining driver sleepiness based on his visual actions with ML Techniques ↗ · 2024 · Rawat, Vandana et al. · indexed
1263. Physiological-based Driver Monitoring Systems: A Scoping Review · 2022 · Abdul Razak, Siti Fatimah et al. · archived
1264. Delay-Aware Cross-Modal Knowledge Distillation for Driver Vigilance Estimation: Toward Practical Edge Deployment ↗ · 2026 · Sun, Yu et al. · indexed
1265. A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring ↗ · 2020 · Yang, Lichao et al. · indexed
1266. Distinguishing between a Driver and Passenger via a Silent Smartphone ↗ · 2017 · Gong, Haihua et al. · indexed
1267. Automatic Detection of Mind Wandering from Video in the Lab and in the Classroom ↗ · 2021 · Bosch, Nigel et al. · indexed
1268. Investigating mental workload caused by NDRTs in highly automated driving with deep learning ↗ · 2024 · Hu, Xintao et al. · indexed
1269. Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness ↗ · 2010 · Murphy-Chutorian, Erik et al. · indexed
1270. Human-Centered Design for an In-Vehicle Truck Driver Fatigue and Distraction Warning System ↗ · 2022 · Horberry, Tim et al. · indexed
1271. Secondary Tasks and Autonomous Vehicles ↗ · 2019 · Jones, Vanessa et al. · indexed
1272. Driving and Speaking: Revelations by the Head-Mounted Detection Response Task · 2013 · Conti, Antonia S et al. · archived
1273. Camera-Based Driver Monitoring for Increased Safety and Convenience ↗ · 2007 · Bueker, Ulrich et al. · indexed
1274. NeuroSafeDrive: An Intelligent System Using fNIRS for Driver Distraction Recognition ↗ · 2025 · Bargshady, Ghazal et al. · indexed
1275. Research on Detection Method of Unsafe Driving Operation of Bus Driver ↗ · 2021 · Zhang, Mo et al. · indexed
1276. Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat ↗ · 2016 · S. Aghaei, Amirhossein et al. · indexed
1277. A Study of the Effect of Varying Visual Occlusion and Task Duration Conditions on Driver Behavior and Performance while Using a Secondary Task Human-Machine Interface ↗ · 2003 · Weir, David H. et al. · indexed
1278. Lightweight Driver Drowsiness Detection Model Using MediaPipe Blendshapes and a Dual-Attention Hierarchical BiLSTM ↗ · 2026 · Mangalesh Chavan, Suhas et al. · indexed
1279. Driver state monitoring and assisted intervention based on deep learning ↗ · 2026 · Thanh, Nguyen Le Chau et al. · indexed
1280. A Probabilistic Model for Visual Driver Gaze Approximation from Head Pose Estimation ↗ · 2020 · Shirpour, Mohsen et al. · indexed
1281. Comprehensive system for the evaluation of the attention level of a driver ↗ · 2016 · Pullano, S. A. et al. · indexed
1282. Learning the Lane Change Task: Comparing different training regimes in semi-paced and continuous secondary tasks ↗ · 2012 · Huemer, Anja Katharina et al. · indexed
1283. Impaired driving detection based on deep convolutional neural network using multimodal sensor data ↗ · 2018 · Huang, Yi-Chi et al. · indexed
1284. Driver state estimation by convolutional neural network using multimodal sensor data ↗ · 2016 · Lim, Sejoon et al. · indexed
1285. Strategies for reducing driver distraction from in-vehicle telematics devices : a discussion document · 2003 · Transport Canada, Road Safety and Motor Vehicle Regulations Directorate · archived
1286. Multimodal driver state modeling through unsupervised learning ↗ · 2022 · Tavakoli, Arash et al. · indexed
1287. Predicting Focused and Mind-Wandering States from EEG Signals Recorded During Driving ↗ · 2025 · Castro, Johan et al. · indexed
1288. D<sup>3</sup>: Abnormal driving behaviors detection and identification using smartphone sensors ↗ · 2015 · Chen, Zhongyang et al. · indexed
1289. Driver secondary tasks in Germany: Using interviews to estimate prevalence ↗ · 2011 · Huemer, Anja Katharina et al. · indexed
1290. An Intelligent Camera-Based Contactless Driver Stress State Monitoring Using Multimodality Fusion ↗ · 2025 · J, Swarubini P et al. · indexed
1291. Developing a car gesture interface for use as a secondary task ↗ · 2003 · Alpern, Micah et al. · indexed
1292. Computer Vision-Based Driver Behavior Analysis and Fatigue Detection System for Advanced Driver Assistance ↗ · 2025 · Liu, Litao et al. · indexed
1293. Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals ↗ · 2023 · Aminosharieh Najafi, Taraneh et al. · indexed
1294. Detection of driver drowsiness in driving environment using deep learning methods ↗ · 2018 · Tumen, Vedat et al. · indexed
1295. Assessment of Driver Monitoring Systems for Alcohol Impairment Detection and Level 2 Automation · 2024 · Prendez, David M et al. · archived
1296. Effects of Mobile Phone Use on Driving Performance: An Experimental Study of Workload and Traffic Violations ↗ · 2021 · Ortega, Carlos A. Catalina et al. · indexed
1297. Google Glass ↗ · 2014 · Sawyer, Ben D. et al. · indexed
1298. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
1299. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
1300. Real-Time Identification and Classification of Driving Maneuvers using Smartphone ↗ · 2020 · Al-Din, Munaf Salim Najim · indexed
1301. Embodied Visual Perception for Driver Fatigue Monitoring Systems: A Hierarchical Decoupling Framework for Robust Fatigue Detection and Scenario Understanding ↗ · 2026 · Chen, Siyu et al. · indexed
1302. Development of Methodology for Defining a Pattern of Drivers Mobile Phone Usage While Driving ↗ · 2022 · Čolić, Petar et al. · indexed
1303. FEER: Non-intrusive facial expression and emotional recognition for driver's vigilance monitoring ↗ · 2015 · Shaykha, Ismail et al. · indexed
1304. Enhanced Real-Time Driver Fatigue Detection Using Hybrid SVM ‎and Multi-Feature Analysis for Improved Accuracy and ‎Road Safety ↗ · 2025 · S, Lakshmi Devi et al. · indexed
1305. Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction Task ↗ · 2012 · Bi, Luzheng et al. · indexed
1306. Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning ↗ · 2024 · Zhao, Pengbo et al. · indexed
1307. Securing Camera Based Active Driver Monitoring System from Video Forgery Attacks Using Deep Learning ↗ · 2022 · K. Y., Prashanth et al. · indexed
1308. Revealing driver psychophysiological response to emergency braking in distracted driving based on field experiments ↗ · 2022 · Li, Ying et al. · indexed
1309. Driver Yawn Prediction Using Convolutional Neural Network ↗ · 2023 · Melvin, Jharge S.R. et al. · indexed
1310. An Investigation of Peer Influences on Risky Child and Adolescent Pedestrian Road Crossing: Final Report · 2016 · Plumert, Jodie M. et al. · archived
1311. Driver Distraction: Are We Mistaking a Symptom for the Problem? ↗ · 2013 · Curry, David et al. · indexed
1312. Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model ↗ · 2026 · Jiao, Yingying et al. · indexed
1313. Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion ↗ · 2024 · Kong, Lingjian et al. · indexed
1314. Drowsiness and distraction while driving: A study based on smartphone app data ↗ · 2020 · Soares, Sónia et al. · indexed
1315. Real-time Intelligent Alert System on Driver�s Hypo-Vigilance Detection Using Template Matching Technique ↗ · 2015 · A., Shweta et al. · indexed
1316. Research on multimodal fatigue driving detection method based on bidirectional temporal modeling and cross-attention mechanism ↗ · 2025 · Wang, FengTong et al. · indexed
1317. Distracted and Risk-Prone Drivers · 2013 · AAA Foundation for Traffic Safety · archived
1318. Developing a car gesture interface for use as a secondary task ↗ · 2003 · Alpern, Micah et al. · indexed
1319. A Multi-Convolutional Stream for Hybrid network for Driver Action Recognition at Nighttime ↗ · 2022 · Abdullah, Karam et al. · indexed
1320. Driver Fatigue Detection: A Survey ↗ · 2006 · Qiong Wang et al. · indexed
1321. Next – Gen Driver Monitoring System ↗ · 2024 · Murugan, Suganiya et al. · indexed
1322. Driver Gaze Detection Based on Deep Residual Networks Using the Combined Single Image of Dual Near-Infrared Cameras ↗ · 2019 · Yoon, Hyo Sik et al. · indexed
1323. Learning Geometrical Temporal Features from Pose Estimation and Object Detection for Driver Monitoring System Using LSTM ↗ · 2025 · Rahul Vijay Soans et al. · indexed
1324. Morphology based Facial Feature Extraction and Facial Expression Recognition for Driver Vigilance ↗ · 2012 · S.ChidanandKumar, K. · indexed
1325. Enhanced Multi-Class Driver Behavior Detection in IoMT Environments Using Hybrid LSTM-GRU Model ↗ · 2025 · AlSalman, Hussain · indexed
1326. Automatic and manual driving paradigms: Cost-efficient mobile application for the assessment of driver inattentiveness and detection of road conditions ↗ · 2016 · Allamehzadeh, Arman et al. · indexed
1327. Changing drivers or changing systems: A review of interventions for managing driver distraction ↗ · 2026 · Abedi, Masoumeh et al. · indexed
1328. Video-based Assistance for Autonomous Driving ↗ · 2020 · Zajic, Goran et al. · indexed
1329. Driver Distraction and Drowsiness Detection System ↗ · 2021 · Roshini, G. et al. · indexed
1330. Real-Time Driver Drowsiness Detection using Facial Action Units ↗ · 2021 · Vijay, Malaika et al. · indexed
1331. WiDrive: Adaptive WiFi-Based Recognition of Driver Activity for Real-Time and Safe Takeover ↗ · 2019 · Bai, Yunhao et al. · indexed
1332. Distracted Driving Performance Measures ↗ · 2015 · Bao, Shan et al. · indexed
1333. Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning ↗ · 2019 · Lopez-Martinez, Daniel et al. · indexed
1334. Development and Validation of an Ecological Driver Distraction Evaluation Tool ↗ · 2017 · Young, Kristie L. et al. · indexed
1335. Psychophysiological Measures of Driver Distraction and Workload While Intoxicated ↗ · 2005 · Rakauskas, Michael E et al. · indexed
1336. Analysis of Multitasking in Divided Attention using Machine Learning ↗ · 2019 · Singh Bankoti, Bhanu Pratap et al. · indexed
1337. Probabilistic Estimation of the Gaze Region of the Driver using Dense Classification ↗ · 2018 · Jha, Sumit et al. · indexed
1338. Driver abnormal behavior detection based on dual-channel attention mechanism ↗ · 2022 · feng, zhiwen et al. · indexed
1339. Speech Feedback Reduces Driver Distraction Caused by In-vehicle Visual Interfaces ↗ · 2016 · Larsson, Pontus · indexed
1340. A Novel Approach to Detect Driver Drowsiness Using Transfer Learning and Hybrid Features ↗ · 2024 · S, Priyanka et al. · indexed
1341. Driver drowsiness monitoring system using visual behaviour and machine learning ↗ · 2018 · Kumar, Ashish et al. · indexed
1342. A Study of Body Motion Detection Method Using Wearable Sensor for Driver State Estimation ↗ · 2018 · Suwa, Koji et al. · indexed
1343. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al. · archived
1344. Emotion Analytics for Advanced Driver Monitoring System ↗ · 2019 · Nandyala, Sivaprasad et al. · indexed
1345. Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set ↗ · 2012 · Aoude, Georges S. et al. · indexed
1346. ConvMLP for Driving Behavior Detection from Naturalistic Driving Data ↗ · 2022 · Gao, Jun et al. · indexed
1347. Pose Variation and Occlusion based Driver expression recognition using Convolutional Neural Network ↗ · 2024 · SUKHAVASI, SUSRUTHABABU et al. · indexed
1348. Drowsy Driver Detection Using Two Stage Convolutional Neural Networks ↗ · 2020 · Biju, Aishwarya et al. · indexed
1349. Government and Industry Perspectives on Driver Distraction ↗ · 2008 · Tingvall, Claes et al. · indexed
1350. Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems ↗ · 2025 · Salakapuri, Rakesh et al. · indexed
1351. Fatigue Driving Detection Methods based on Human-computer Interaction ↗ · 2024 · An, Guanzheng · indexed
1352. Realtime Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Al Redhaei, Aneesa et al. · indexed
1353. Multi-Level Driver Workload Prediction using Machine Learning and Off-the-Shelf Sensors ↗ · 2018 · van Gent, Paul et al. · indexed
1354. Experiment Design for Measuring Driver Reaction Time in Driving Situation ↗ · 2013 · Zhang, Zhong et al. · indexed
1355. Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks ↗ · 2023 · Aminosharieh Najafi, Taraneh et al. · indexed
1356. Modified YOLOv3-Tiny Using Dilated Convolution for Driver Distraction Detection ↗ · 2020 · Chang, Robert Chen-Hao et al. · indexed
1357. Driver behavior profiling: An investigation with different smartphone sensors and machine learning · 2017 · Ferreira, Jair et al. · archived
1358. Driving Maneuvers Recognition and Classification Using A Hyprid Pattern Matching and Machine Learning · 2023 · Al-Din, Munaf Salim Najim · archived
1359. An Attention Deep Learning Framework Based Drowsiness Detection Model for Intelligent Transportation System ↗ · 2022 · Ganguly, Biswarup et al. · indexed
1360. The Evolution of Driver Monitoring Systems: A Shortened Story on Past, Current and Future Approaches How Cars Acquire Knowledge About the Driver's State ↗ · 2020 · Manstetten, Dietrich et al. · indexed
1361. Driver Identification Based on Gear Shift Events and Attention-Based Bidirectional Long Short-Term Memory for Manual Transmission System ↗ · 2022 · Deng, Tiancheng et al. · indexed
1362. Driver fatigue detection using machine learning methods ↗ · 2022 · Chen, Yi · indexed
1363. Intelligent driver drowsiness detection through fusion of yawning and eye closure ↗ · 2011 · Omidyeganeh, M. et al. · indexed
1364. Eff-DANet: An Efficient Attention-enhanced Deep-learning based Model for an Automated Driver Monitoring System ↗ · 2025 · Bhoyan, Fuyad Hasan et al. · indexed
1365. Artificial Intelligence Supported Driver Pose Estimation ↗ · 2025 · Özdamar, Said Bora et al. · indexed
1366. A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data ↗ · 2024 · He, Le et al. · indexed
1367. Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals ↗ · 2012 · Lee, Boon-Giin et al. · indexed
1368. Advances in Human-Machine Systems for In-Vehicle Environments: Noise and Cognitive Stress/Distraction ↗ · 2011 · Hansen, John H.L. et al. · indexed
1369. A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning ↗ · 2026 · Bouyer, Asgarali et al. · indexed
1370. Recherche d'indicateurs d'inattention en conduite automobile : apports des mesures physiologiques et comportementales ↗ · 2026 · Pepin, Guillaume · indexed
1371. InSight ↗ · 2020 · Janveja, Ishani et al. · indexed
1372. Mobile communications, driver distraction and vehicle accidents ↗ · 2001 · Murray, J. et al. · indexed
1373. Classification of Drivers' Workload Using Physiological Signals in Conditional Automation · 2021 · Meteier, Quentin et al. · archived
1374. Evaluation of Internal Factors in Driver Distraction ↗ · 2019 · Srihari, H.S. et al. · indexed
1375. Study of Reproducibility of Pedal Tracking and Detection Response Task to Assess Driver Distraction ↗ · 2015 · Iwasa, Tatsuya et al. · indexed
1376. Vehicle Mode and Driving Activity Detection Based on Analyzing Sensor Data of Smartphones ↗ · 2018 · Lu, Dang-Nhac et al. · indexed
1377. Driver Fatigue Detection Analysis Based on Image Segmentation & Feature Extraction Using SVM ↗ · 2020 · Dogiwal, S.R. et al. · indexed
1378. Driver Fatigue Monitoring System Using Video Images and Steering Grip Force ↗ · 2016 · Zhao, Jun et al. · indexed
1379. DriveNet: A deep learning framework with attention mechanism for early driving maneuver prediction · 2025 · M'haouach, Mohamed et al. · archived
1380. Driver anomalous driving behavior detection based on supervised contrastive learning ↗ · 2024 · Li, Zhonglun et al. · indexed
1381. Driver Drowsiness Detection using Haar Cascade ↗ · 2022 · Spourgeon, V. Andrew · indexed
1382. Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework ↗ · 2018 · Yu, Jongmin et al. · indexed
1383. Research on Method of Fatigued Driving Detection ↗ · 2018 · Zou, Jiancheng et al. · indexed
1384. Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach · 2014 · Čolić, Aleksandar et al. · archived
1385. Active vehicle safety system design based on driver characteristics and behaviour ↗ · 2009 · Boyraz, Pinar et al. · indexed
1386. Real-time driver affect analysis and tele-viewing system ↗ · 2004 · McCall, J.C. et al. · indexed
1387. Evaluating driver distraction countermeasures ↗ · 2005 · Karlsson, Rikard · indexed
1388. X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild ↗ · 2020 · Stappen, Lukas et al. · indexed
1389. Modeling safety risk perception due to mobile phone distraction among four wheeler drivers ↗ · 2017 · Rajesh, Raghunathan et al. · indexed
1390. A MULTIMODAL DRIVER-SAFETY SYSTEM TO SUPPORT TEEN DRIVERS USING COMPUTER VISION AND SENSOR FUSION ↗ · 2026 · Liu, Max et al. · indexed
1391. Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al. · archived
1392. Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network ↗ · 2018 · Manawadu, Udara E. et al. · indexed
1393. Adaptive Driver Vigilance Surveillance System · 2025 · Bodhale, U.N. et al. · archived
1394. Alcohol effects on driver performance under conditions of divided attention ↗ · 1980 · BREWER, N. et al. · indexed
1395. Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment ↗ · 2023 · Presta, Roberta et al. · indexed
1396. Method for the evaluation of distraction effects of head-up displays in vehicles using the example of smart glasses ↗ · 2023 · Wiedemann, Katharina et al. · indexed
1397. Embedded Real-Time Multi-Risk Detection: An EdgeML-Powered System for Driver Monitoring ↗ · 2026 · Silva, Hyago V. L. B. et al. · indexed
1398. Targeting young driver emotions can reduce their cellphone distractions ↗ · 2023 · Hoseinzadeh Nooshabadi, Mehdi et al. · indexed
1399. Neuromorphic Driver Monitoring Systems: A Proof-of-Concept for Yawn Detection and Seatbelt State Detection Using an Event Camera ↗ · 2023 · Kielty, Paul et al. · indexed
1400. Classification of Officers’ Driving Situations Based on Eye-Tracking and Driver Performance Measures ↗ · 2021 · Zahabi, Maryam et al. · indexed
1401. A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data ↗ · 2019 · Zhang, Jun et al. · indexed
1402. Effects of roadside distractors on performance of drivers with and without attention deficit tendencies ↗ · 2018 · Shaw, F. Atiyya et al. · indexed
1403. Observed Differences in Lane Departure Warning Responses during Single-Task and Dual-Task Driving: A Secondary Analysis of Field Driving Data ↗ · 2016 · McWilliams, Thomas et al. · indexed
1404. Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving ↗ · 2013 · Harbluk, Joanne L et al. · indexed
1405. Driver drowsiness estimation using facial wrinkle feature ↗ · 2013 · Nakamura, Taro et al. · indexed
1406. DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks ↗ · 2020 · Noor, Alam et al. · indexed
1407. A lightweight temporal attention-based convolution neural network for driver's activity recognition in edge ↗ · 2023 · Yang, Lichao et al. · indexed
1408. Capturing Driver Status Using Naturalistic Driving Study Data: Implications for Assessing Health and Safety ↗ · 2022 · Binjolkar, Mayuree et al. · indexed
1409. An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields · 2025 · Bakheet, Samy et al. · archived
1410. Optimization Algorithm for Driver Monitoring System using Deep Learning Approach ↗ · 2020 · Yoo, Min Woo et al. · indexed
1411. Ad-Hoc Shallow Neural Network to Learn Hyper Filtered PhotoPlethysmoGraphic (PPG) Signal for Efficient Car-Driver Drowsiness Monitoring ↗ · 2019 · Rundo, Francesco et al. · indexed
1412. A Framework for Driver Drowsiness Monitoring Using a Convolutional Neural Network and the Internet of Things ↗ · 2024 · Irsan, Muhamad et al. · indexed
1413. A 2-D Vigilance Estimation Method for High-Speed Rail Drivers With Multimodal Sensors ↗ · 2024 · Pan, Yufan et al. · indexed
1414. Research on Fatigue Driving Discrimination based on Face Recognition System ↗ · 2022 · Xin, Song et al. · indexed
1415. DTCG-Net: A Lightweight Attention-Based Framework for In-Vehicle Distraction Detection ↗ · 2025 · Feng, Shuang et al. · indexed
1416. On-Device Multimodal Drowsy Vehicle Driver Detection and Alerting System ↗ · 2025 · Yoon, Jong-Seok et al. · indexed
1417. Undistracted driving ↗ · 2011 · Lindqvist, Janne et al. · indexed
1418. Zonal adaptive workload management systems: Limiting secondary tasks while driving ↗ · 2008 · Fang Chen et al. · indexed
1419. Driver and Driving Assessment Issues Associated with the Application of a Secondary Task Technique: A Case Study ↗ · 2001 · Manser, Michael P et al. · indexed
1420. The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections ↗ · 2015 · Liao, Yuan et al. · indexed
1421. Multi-Task Cascaded Convolutional Neural Networks (MTCNN) based Driver Drowsiness Detection ↗ · 2023 · Suhas, K. Kalyan et al. · indexed
1422. Analysis of Bus Driver Fatigue and Distracted Driving with DMS Warning-Based Data and Association Rules Mining ↗ · 2025 · Yang, Jun et al. · indexed
1423. DA-TRA: Incorporating Driver Attention and Road Scene Understanding for Traffic Risk Assessment ↗ · 2026 · Lin, Huei Yung et al. · indexed
1424. A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions ↗ · 2022 · Bakker, Bram et al. · indexed
1425. Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and Distraction ↗ · 2022 · Fan, Chaojie et al. · indexed
1426. Computational Models for Workload Analysis of Driving Tasks ↗ · 2021 · Handley, Holly et al. · indexed
1427. Factors Related to Drivers' Self-Reported Willingness to Engage in Distracting In-Vehicle Activities ↗ · 2008 · Horrey, William J. et al. · indexed
1428. A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors ↗ · 2020 · Li, Pei et al. · indexed
1429. Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing ↗ · 2016 · Miyajima, Chiyomi et al. · indexed
1430. Detection of Driver Dynamics with VGG16 Model ↗ · 2022 · Aytekin, Alper et al. · indexed
1431. Topographic map analysis for driver cognitive distraction ↗ · 2014 · Almahasneh, Hossam et al. · indexed
1432. A fatigue driving detection method based on driver posture and facial state analysis ↗ · 2026 · Hao, Yuting et al. · indexed
1433. Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals · 2025 · Widayat, Tri Agung et al. · archived
1434. The utility of telematics data for estimating the prevalence of driver handheld cellphone use, 2019–2022 ↗ · 2024 · Reagan, Ian J. et al. · indexed
1435. Do users desire gestures for in-vehicle interaction? Towards the subjective assessment of gestures in a high-fidelity driving simulator ↗ · 2024 · Graichen, Lisa et al. · indexed
1436. Mind Wandering While Driving ↗ · 2015 · Lerner, Neil et al. · indexed
1437. Hypovigilance Detection Based on Eyelids Behavior Study ↗ · 2013 · Akrout, Belhassen et al. · indexed
1438. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
1439. Drowsiness Detection and Alarming System · 2025 · Girijannavar, Laxmi R et al. · archived
1440. Real-Time Driver State Detection Using mmWave Radar: A Spatiotemporal Fusion Network for Behavior and Physiological Monitoring on Edge Platforms ↗ · 2025 · Tseng, Shih-Pang et al. · indexed
1441. Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation ↗ · 2022 · Huang, Jianling et al. · indexed
1442. A lightweight method for fatigue driving detection based on facial analysis ↗ · 2024 · Jiang, Haokun et al. · indexed
1443. Driver Drowsiness Detection Using Convolutional Neural Networks ↗ · 2021 · Pasha, Md Gouse · indexed
1444. From Scene to Object: Text-Guided Dual-Gaze Prediction · 2026 · Ke, Zehong et al. · archived
1445. A drowsiness detection using smart sensors during driving and smart message alert system to avoid accidents ↗ · 2022 · Vinoth, T. et al. · indexed
1446. Attitudes and behaviors related to distracted driving in college students: a need for interventions in adolescence ↗ · 2017 · Basch, Corey H. et al. · indexed
1447. A hybrid system ensemble based time series signal classification on driver alertness detection ↗ · 2011 · Xu, Shen et al. · indexed
1448. Using the Lane-Change Test (LCT) to Assess Distraction: Tests of Visual-Manual and Speech-Based Operation of Navigation System Interfaces ↗ · 2007 · Harbluk, Joanne L et al. · indexed
1449. Predicting Driver Alertness by Learning Takeover Patterns from Vehicle Telemetry ↗ · 2025 · Chung, Wong Kah et al. · indexed
1450. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
1451. Spiking-DD: neuromorphic event camera based driver distraction detection with spiking neural network ↗ · 2024 · Shariff, Waseem et al. · indexed
1452. Head pose and gaze direction tracking for detecting a drowsy driver ↗ · 2014 · In-Ho Choi et al. · indexed
1453. Driver Drowsiness Monitoring System Using Visual Behavior And Machine Learning ↗ · 2022 · Swathi, A. et al. · indexed
1454. Vigilance Monitoring for Safer Driving and Passenger Protection using ML ↗ · 2023 · Gupta, Anshula et al. · indexed
1455. Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals ↗ · 2022 · Cardone, Daniela et al. · indexed
1456. Image-Based Fatigue Detection of Vehicle Driver: State-of-the-Art and Reference Model ↗ · 2021 · Bulygin, Alexandr et al. · indexed
1457. Dynamic driver drowsiness detection with attention enhanced convolutional neural networks for real time monitoring and road safety applications ↗ · 2026 · El-Nabi, Samy Abd et al. · indexed
1458. Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning · 2020 · Bichicchi, Arianna et al. · archived
1459. Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al. · archived
1460. Evaluation of NHTSA Distracted Driving High-Visibility Enforcement Demonstration Projects in California and Delaware · 2015 · Chaudhary, Neil K. et al. · archived
1461. Driver fatigue detection based on lightweight MobileNetV2 ↗ · 2023 · Wang, Haoyuan · indexed
1462. Cognitive Load Estimation in the Wild ↗ · 2018 · Fridman, Lex et al. · indexed
1463. CGVA: Cognitive Guided Visual Attention Selection in Traffic Driving Environment ↗ · 2025 · Chen, Renjie et al. · indexed
1464. Decoding Distraction From the Human Brain: A Unique Neural Signature Beyond Failures of Selective Attention and Control ↗ · 2025 · Chidharom, Matthieu et al. · indexed
1465. Deep Residual Learning-Based Convolutional Variational Autoencoder For Driver Fatigue Classification ↗ · 2022 · Adhikari, Sameera et al. · indexed
1466. European NCAP Program Developments to Address Driver Distraction, Drowsiness and Sudden Sickness ↗ · 2021 · Fredriksson, Rikard et al. · indexed
1467. Driver State Monitoring for Decreased Fitness to Drive ↗ · 2020 · Lenné, Michael G. et al. · indexed
1468. Driver monitoring for a human-centered driver assistance system ↗ · 2006 · McCall, Joel et al. · indexed
1469. A Driver Attention Warning System Based on Traffic Light Context- Awareness Using YOLOv8, MediaPipe, and MiDas ↗ · 2025 · Kim, Jin-Woo et al. · indexed
1470. EEG assessment of driving cognitive distraction caused by central control information · 2023 · Zhao, Yan et al. · archived
1471. Standardized evaluation of camera-based driver state monitoring systems ↗ · 2019 · Tian, Renran et al. · indexed
1472. Does wearable device bring distraction closer to drivers? Comparing smartphones and Google Glass ↗ · 2018 · He, Jibo et al. · indexed
1473. Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling ↗ · 2017 · Purucker, Christian et al. · indexed
1474. Driver distraction and inattention in the USA large truck and national motor vehicle crash causation studies ↗ · 2009 · Craft, R et al. · indexed
1475. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
1476. DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al. · indexed
1477. Research on Deep Learning-based Driver Fatigue Driving Behavior Recognition Methods ↗ · 2024 · Sun, Miao et al. · indexed
1478. A multimodal approach for aggressive driving detection ↗ · 2016 · Kumtepe, Ömürcan et al. · indexed
1479. Driver Distraction ↗ · 2014 · Bengler, Klaus · indexed
1480. Study on Driver Distraction Indexes Using Biological Signals Applying Assessment of Information Display ↗ · 2013 · Ohkura, Michiko et al. · indexed
1481. Examining Driver Sleepiness Detection Based on Visual Actions Using Haar Cascading and CNN ↗ · 2025 · Rawat, Vandana et al. · indexed
1482. Deep CNN Based Approach for Driver Drowsiness Detection ↗ · 2022 · R, Jumana et al. · indexed
1483. Driving fingerprinting enhances drowsy driving detection: Tailoring to individual driver characteristics ↗ · 2024 · Sun, Yifan et al. · indexed
1484. Fatigue Driving Detection Method Based on Multiple Features ↗ · 2022 · Liu, JinFeng · indexed
1485. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions · 2010 · Flores, MarcoJavier et al. · archived
1486. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
1487. Awareness of Performance Decrements Due to Distraction in Younger and Older Drivers ↗ · 2007 · Horrey, William J et al. · indexed
1488. YOLOv8-Powered Driver Monitoring: A Scalable and Efficient Approach for Real-Time Distraction Detection ↗ · 2025 · Kaif, Abu et al. · indexed
1489. Research on Driver Fatigue Detection Method Based on Parallel Convolution Neural Network ↗ · 2019 · Hao, Ziqiang et al. · indexed
1490. Driver hand localization and grasp analysis: A vision-based real-time approach ↗ · 2016 · Siddharth et al. · indexed
1491. Distracted While Driving ↗ · 2013 · Libby, David et al. · indexed
1492. Attention distillation for low-cost driver behavior recognition ↗ · 2026 · Gao, Hang et al. · indexed
1493. A smartphone-based driver fatigue detection using fusion of multiple real-time facial features ↗ · 2016 · Qiao, Yantao et al. · indexed
1494. Driver Distraction and Inattention ↗ · 2013 · Lee, John D et al. · indexed
1495. An Evaluation of the Effectiveness of Voice-to-Text Programs at Reducing Incidences of Distracted Driving · 2013 · Yager, Christine · archived
1496. Detecting Driver Drowsiness Using Hybrid Facial Features and Ensemble Learning ↗ · 2025 · Xu, Changbiao et al. · indexed
1497. Electronic Device Use: A Review of the Literature on Addictive Behaviors · 2023 · Hoekstra-Atwood, Liberty et al. · archived
1498. Sharing the responsibility for driver distraction across road transport systems: A systems approach to the management of distracted driving ↗ · 2015 · Young, Kristie L. et al. · indexed
1499. Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems ↗ · 2005 · Hammond, R.I. et al. · indexed
1500. Drivers’ Ability to Engage in a Non-Driving Related Task While in Automated Driving Mode in Real Traffic ↗ · 2020 · Klingegard, Maria et al. · indexed
1501. Intelligent driver monitoring systems: a survey of drowsiness detection technologies for road safety ↗ · 2026 · Hassan, Osama F. et al. · indexed
1502. Driver drowsiness detection system · 2026 · Dalvi, Spandan et al. · archived
1503. A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al. · archived
1504. Driver Drowsiness Detection System ↗ · 2021 · Kartha, Sreelakshmi · indexed
1505. Development of an Adaptive Human-Machine-Interface to Minimize Driver Distraction and Workload ↗ · 2013 · Westin, Matthew et al. · indexed
1506. Behavioral Transportation: The Role of Psychological, Cognitive, and Social Factors in Distracted Driving Behavior ↗ · 2023 · Gabaldon, Janeth · indexed
1507. Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms ↗ · 2020 · Zhang, Tao et al. · indexed
1508. Wearable Device-Based System to Monitor a Driver’s Stress, Fatigue, and Drowsiness ↗ · 2018 · Choi, Minho et al. · indexed
1509. National Phone Survey on Distracted Driving Attitudes and Behaviors · 2011 · Tison, Julie et al. · archived
1510. Head pose estimation for driver monitoring ↗ · 2004 · Youding Zhu et al. · indexed
1511. Low-Cost Driver Monitoring System Using Deep Learning ↗ · 2025 · Khalil, Hady A. et al. · indexed
1512. An Intelligent Driver Tracking and Driving Analysis Reporting System ↗ · 2025 · Akalan, Ferhat et al. · indexed
1513. CNN Based Driver Drowsiness Detection System Using Emotion Analysis ↗ · 2022 · Varun Chand, H. et al. · indexed
1514. Investigating the Effect of Drivers’ Body Motion on Traffic Safety · 2015 · Barmpoutis, Angelos et al. · archived
1515. Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion ↗ · 2025 · Malik, Meenakshi et al. · indexed
1516. Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model ↗ · 2020 · Ansari, Shahzeb et al. · indexed
1517. A Practical Framework for Preventing Distracted Pedestrian-Related Incidents Using Wrist Wearables ↗ · 2018 · Vinayaga-Sureshkanth, Nisha et al. · indexed
1518. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Mohammed Murad, Nada et al. · indexed
1519. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Murad, Nada Mohammed et al. · indexed
1520. LNet: Lightweight Network for Driver Attention Estimation via Scene and Gaze Consistency ↗ · 2026 · Hu, Daosong et al. · indexed
1521. Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception ↗ · 2024 · Konrad, Santiago Gerling et al. · indexed
1522. Deep Learning Based Driver Drowsiness Monitoring and Alert System ↗ · 2023 · Suguna, R. et al. · indexed
1523. Neural Network Based Detection of Driver’s Drowsiness ↗ · 2021 · Bhandarkar, Shraddha et al. · indexed
1524. Mitigating Teen Driver Distraction: In-Vehicle Feedback Based on Peer Social Norms · 2021 · Donmez, Birsen et al. · archived
1525. An Improved Real Time Driver Drowsiness Detection System ↗ · 2021 · Chaudhary, Alka et al. · indexed
1526. Driver Drowsiness Detection System Using Deep Learning Based on Visual Facial Features ↗ · 2021 · Mahmoud, Mahamad Salah et al. · indexed
1527. Vision-Based Driver Drowsiness Detection: From Deep Learning Models to Real-Time Mobile Deployment · 2026 · Jadhav, Hitesh Jitendra · archived
1528. Towards low-cost systems for measuring visual cues of driver fatigue and inattention in automotive applications ↗ · 2006 · Bretzner, L. et al. · indexed
1529. DriveID: safety innovation through individuation ↗ · 2012 · Sawyer, Ben et al. · indexed
1530. Loading Drivers to Their Limit: The Effect of Increasing Secondary Task On Driving ↗ · 2003 · Merat, Natasha · indexed
1531. Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers ↗ · 2020 · Yang, Guangchuan et al. · indexed
1532. Alpha spindles as neurophysiological correlates indicating attentional shift in a simulated driving task ↗ · 2012 · Sonnleitner, Andreas et al. · indexed
1533. Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review. ↗ · 2026 · El Sahmarany, L et al. · indexed
1534. The impact of driver distraction on road safety: results from a representative survey in two Australian states ↗ · 2006 · McEvoy, S P et al. · indexed
1535. Systematic Review of Multimodal Fusion Strategies for Driver Fatigue Detection in Autonomous Vehicles · 2025 · Huang, Xiang · archived
1536. Driver Gaze Region Estimation Based on Computer Vision ↗ · 2020 · Shan, Xinghua et al. · indexed
1537. Vehicle Driver Monitoring through the Statistical Process Control ↗ · 2019 · Assuncao, Arthur et al. · indexed
1538. Driving State Recognizing Based on Driving Behavior Signals ↗ · 2010 · Hu, Dunli et al. · indexed
1539. Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue ↗ · 2004 · Ji, Q. et al. · indexed
1540. Physiological Indices to Predict Driver Situation Awareness in VR ↗ · 2023 · Kim, Gwangbin et al. · indexed
1541. A real-time software framework for driver monitoring systems: software architecture and use cases ↗ · 2021 · Ortega Valdivieso, Juan Diego et al. · indexed
1542. Driver state estimation during automatic driving using seat pressure ↗ · 2020 · SATO, Hayata et al. · indexed
1543. Real-Time Workload Classification during Driving using HyperNetworks ↗ · 2018 · Wang, Ruohan et al. · indexed
1544. Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review ↗ · 2024 · al-qaysi, ziadoon · indexed
1545. Cell phone-related driver distraction: Habits predict behavior over and above the theory of planned behavior variables ↗ · 2023 · Demir, Basar et al. · indexed
1546. A Two-Layer Risky Driver Recognition Model With Context Awareness ↗ · 2021 · Wang, Ke et al. · indexed
1547. Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing · 2020 · Karuppusamy, Naveen Senniappan et al. · archived
1548. Driver Gaze Zone Estimation Based on Three-Channel Convolution-Optimized Vision Transformer With Transfer Learning ↗ · 2024 · Li, Zhao et al. · indexed
1549. Research on driver fatigue detection ↗ · 2018 · Zhang, Ting et al. · indexed
1550. Cellular Phones and Driver Distraction ↗ · 2008 · Strayer, David L. et al. · indexed
1551. Analysis of Facial and Acoustic Features for Driver Drowsiness Detection ↗ · 2024 · Loni, Deepali Y · indexed
1552. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
1553. DROWSY DRIVER DETECTION SYSTEM – VIA FACIAL RECOGNITION AND DRIVING DATA ↗ · 2024 · Azharudin, Nur Iman Kamila et al. · indexed
1554. Assessing the Impact of Secondary Tasks on Heart Rate Variability and Mental Workload in Driving ↗ · 2024 · Lubay, Mary Grace et al. · indexed
1555. Contributions to Driver Fatigue Detection Based on Eye-tracking ↗ · 2021 · Băiașu, Ana-Maria et al. · indexed
1556. Protocol for Eliciting Driver Frustration in an In-vehicle Environment ↗ · 2019 · Joshi, Ajjen et al. · indexed
1557. Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making · 2026 · Greer, Ross et al. · archived
1558. Unsupervised Scalable Multimodal Driving Anomaly Detection ↗ · 2023 · Qiu, Yuning et al. · indexed
1559. Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG ↗ · 2013 · Wali, Mousa Kadhim et al. · indexed
1560. Fatigue Driving Detection Based on Facial Features ↗ · 2023 · Lou, Li et al. · indexed
1561. Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals ↗ · 2021 · Lee, Jaewon et al. · indexed
1562. The Inconvenient Truth About Mobile Phone Distraction: Understanding the Means, Motive and Opportunity for Driver Resistance to Legal and Safety Messages ↗ · 2021 · Wells, Helen et al. · indexed
1563. A feasability study of drowsiness detection using driving behaviour parameters ↗ · 2012 · Bartra, A. et al. · indexed
1564. Real-Time Fatigue Monitoring System in Diverse Driving Scenarios ↗ · 2024 · Shajahan, Thasnimol Valuthottiyil et al. · indexed
1565. Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi ↗ · 2020 · ADI, Kusworo et al. · indexed
1566. A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS ↗ · 2022 · Du, Guanglong et al. · indexed
1567. Retraction Notice: Convolutional Neural Network based Driver Fatigue Recognition by Utilizing the Facial Features ↗ · 2022 · Suseela, S et al. · indexed
1568. Non-Intrusive Detection of Drowsy Driving Based on Eye Tracking Data ↗ · 2019 · Zandi, Ali Shahidi et al. · indexed
1569. Driver Pose Estimation by Hybrid Convolutional Network Architecture ↗ · 2018 · Li, Peng et al. · indexed
1570. Effect of visible presence of policing activities on drivers’ vigilance and intention to refrain from non-driving activities: A scenario-based survey of general Japanese drivers ↗ · 2019 · Nakano, Yukako et al. · indexed
1571. Driver inattention, driver distraction and traffic crashes ↗ · 2003 · Stutts, J C et al. · indexed
1572. Wearable Sensors for Evaluating Driver Drowsiness and High Stress ↗ · 2019 · Becerra-Sánchez, Enriqueta Patricia et al. · indexed
1573. The impact of an adaptive user interface on reducing driver distraction ↗ · 2011 · Tchankue, Patrick et al. · indexed
1574. Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers · 2024 · Gomaa, Amr et al. · archived
1575. Driver Drowsiness Detection System Based on Eye State Analysis · 2024 · C, Pavilaa. · archived
1576. Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates ↗ · 2021 · Deng, Tao et al. · indexed
1577. Research on driver monitoring system based on vital signs and behavior detection ↗ · 2023 · Chai, Lei · indexed
1578. Driver Assistance System for Stress Recognition by Handcrafted Feature Extraction and Convolutional Neural Network ↗ · 2024 · Vaezi, Mahtab et al. · indexed
1579. Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges ↗ · 2017 · Koesdwiady, Arief et al. · indexed
1580. Driver Fatigue Detection Algorithm Based on Video Image ↗ · 2022 · Li, Zhe et al. · indexed
1581. Driving Behavior Recognition Based on Multimodal Physiological Signals under Negative Emotion ↗ · 2026 · shao, shuyu et al. · indexed
1582. Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects ↗ · 2023 · Qu, You et al. · indexed
1583. Driver Modeling Based on Vehicular Sensing Data ↗ · 2018 · Wang, Zhuowen et al. · indexed
1584. The Relationship between Driver Distraction and Mental Workload ↗ · 2017 · Schaap, Nina et al. · indexed
1585. A CNN-Based Wearable System for Driver Drowsiness Detection ↗ · 2023 · Li, Yongkai et al. · indexed
1586. Recognizing Driver Awareness of Pedestrian ↗ · 2014 · Phan, Minh Tien et al. · indexed
1587. Neuromorphic Driver Monitoring Systems: A Computationally Efficient Proof-of-Concept for Driver Distraction Detection ↗ · 2023 · Shariff, Waseem et al. · indexed
1588. Modeling Driver Takeover Intention in Automated Vehicles With Attention-Based CNN Algorithm ↗ · 2022 · Gupta, Shantanu et al. · indexed
1589. Real-Time Detection for Drowsy Driving via Acoustic Sensing on Smartphones ↗ · 2021 · Xie, Yadong et al. · indexed
1590. Guidance to Promote Family Rules and Workplace Policies to Reduce Cell Phone Use While Driving and Promote Engaged Driving · 2021 · Otto, Jay et al. · archived
1591. Technologies for detecting and monitoring drivers' states: A systematic review ↗ · 2024 · AL-Quraishi, Maged S. et al. · indexed
1592. Threats Detection during Human-Computer Interaction in Driver Monitoring Systems ↗ · 2022 · Kashevnik, Alexey et al. · indexed
1593. Effect of police mobile computer terminal interface design on officer driving distraction ↗ · 2017 · Zahabi, Maryam et al. · indexed
1594. The Implementation of Driver Model Based on the Attention Transfer Process ↗ · 2017 · Zhao, ShuanFeng et al. · indexed
1595. Online intention recognition applied to real simulated driving maneuvers · 2020 · Deng, Qi et al. · archived
1596. Fatigue features based on eye tracking for driver inattention system ↗ · 2011 · Horak, Karel · indexed
1597. Understanding sexual activity while driving as a form of distracted driving ↗ · 2022 · Oviedo-Trespalacios, Oscar et al. · indexed
1598. Development of driver-state estimation algorithm based on Hybrid Bayesian Network ↗ · 2015 · Ryu, Dong Woon et al. · indexed
1599. Simulator Evaluation of Heavy-Vehicle Driver Workload: II: Complex Secondary Tasks ↗ · 1996 · Kantowitz, Barry H. et al. · indexed
1600. Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context ↗ · 2022 · Bethge, David et al. · indexed
1601. A Novel Real-time Driver Monitoring System Based on Deep Convolutional Neural Network ↗ · 2019 · Zhao, Yiheng et al. · indexed
1602. The Dimensions of Driver Performance during Secondary Manual Tasks ↗ · 2003 · Young, Richard A et al. · indexed
1603. Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al. · indexed
1604. Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiography and Eye Tracking · 2024 · Shi, Wenxin et al. · archived
1605. Driver State Monitoring System Using AI ↗ · 2023 · Saranya, N et al. · indexed
1606. FBLNet: FeedBack Loop Network for Driver Attention Prediction ↗ · 2023 · Chen, Yilong et al. · indexed
1607. Examination of Limitations Associated with Observing Driver Distraction ↗ · 2014 · Wenners, Keith E. et al. · indexed
1608. A visual based approach for drowsiness detection ↗ · 2013 · Akrout, Belhassen et al. · indexed
1609. Lightweight Attention-based Temporal Modeling of Key Facial Features for Driver Fatigue Detection in Intelligent Driver Monitoring Systems ↗ · 2025 · Song, Bailing et al. · indexed
1610. Standalone Wearable Driver Drowsiness Detection System in a Smartwatch ↗ · 2016 · Lee, Boon-Leng et al. · indexed
1611. Driver Monitoring System using an Embedded Computer Platform ↗ · 2023 · Rimal, Rajesh et al. · indexed
1612. Smartphone sensing for understanding driving behavior: Current practice and challenges ↗ · 2020 · Mantouka, Eleni G. et al. · indexed
1613. Scene-aware driver state understanding in car-following behaviors ↗ · 2017 · Xu, Donghao et al. · indexed
1614. A methodological approach for studying public bus transit driver distraction ↗ · 2015 · D’souza, K.A. et al. · indexed
1615. Applying the Health Belief Model to mobile device distracted driving ↗ · 2024 · Cox, Aimee E. et al. · indexed
1616. Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning ↗ · 2007 · McCall, J.C. et al. · indexed
1617. Integrative Mobile Sensor Framework for Driver Behavior Analysis: Real-Time Monitoring of Facial and Physiological Parameters to Enhance Road Safety ↗ · 2025 · G, Manisha et al. · indexed
1618. Review of Research on Fatigue Driving Detection Methods ↗ · 2024 · Qin, Yingna et al. · indexed
1619. Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection ↗ · 2019 · Liu, Weihuang et al. · indexed
1620. Assessing Fitness to Drive: an IoT-Based System Integrating Driver Emotions and Visual Distraction Metrics ↗ · 2025 · Rettori, Lucrezia et al. · indexed
1621. Gaze Zone Classification for Driving Studies Using YOLOv8 Image Classification ↗ · 2024 · Hermens, Frouke et al. · indexed
1622. Synchronous System for Driver Drowsiness Detection Using Convolutional Neural Network, Computer Vision and Android Technology ↗ · 2021 · Bajaj, Purvika et al. · indexed
1623. Unobtrusive drowsiness detection by neural network learning of driver steering ↗ · 2001 · Sayed, R et al. · indexed
1624. Temporal Convolutional Network Approach for Video-Based Driver Drowsiness Detection ↗ · 2025 · Kumar, G N Sharath et al. · indexed
1625. Accident Prevention System for Cars, Buses, Trucks · 2024 · Garje, Avantika · archived
1626. Abnormal Driving Behavior Recognition Method Based on Smart Phone Sensor and CNN-LSTM ↗ · 2022 · Li, Hao et al. · indexed
1627. Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving ↗ · 2019 · Khandakar, Amith et al. · indexed
1628. IMCATN: Transformer Based Learning With Multi-Scale Information Fusion for Driver Cognitive Load Recognition ↗ · 2025 · Cheng, Shiwei et al. · indexed
1629. Retracted: Convolutional Neural Network based Driver Fatigue Recognition by Utilizing the Facial Features ↗ · 2022 · Suseela, S et al. · indexed
1630. Monitoring Driver’s Vigilance Level Using Real-Time Facial Expression and Deep Learning Techniques ↗ · 2020 · Al-Dweik, Arafat et al. · indexed
1631. Spatio-Temporal Detection of Divided Attention in Reading Applications Using EEG and Eye Tracking ↗ · 2015 · Rodrigue, Mathieu et al. · indexed
1632. The Effect of Cell-Phone User on Driver Attention ↗ · 2012 · Yang, Cheng-Ken et al. · indexed
1633. Facial recognition system for driver vigilance mlonitoring ↗ · 2005 · Dikkers, H.J. et al. · indexed
1634. Using Facial Features to Detect Driver’s Drowsiness State ↗ · 2023 · Krity, Kaushiki et al. · indexed
1635. Driver Drowsiness Detection System using Machine Learning ↗ · 2021 · M, Charan · indexed
1636. Driver Sleepiness Detection Using Deep Learning Convolution Neural Network Classifier ↗ · 2019 · Muthukumaran, N. et al. · indexed
1637. A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration ↗ · 2019 · You, Feng et al. · indexed
1638. Driver behavior recognition under multiple illumination conditions based on attention mechanisms ↗ · 2027 · Xu, Huizhi et al. · indexed
1639. Computer Vision Based Driver Health and Wellness Monitoring System: A) Fatigue Detection, B) Emotional Wellbeing ↗ · 2026 · Iqbal, Shoaib et al. · indexed
1640. Abnormal Cockpit Pilot Driving Behavior Detection Using YOLOv4 Fused Attention Mechanism ↗ · 2022 · Chen, Nongtian et al. · indexed
1641. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al. · indexed
1642. Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness ↗ · 2017 · Braunagel, Christian et al. · indexed
1643. Research on Multi-Mode Driver Fatigue Detection System ↗ · 2010 · Liu, Zhen Yu et al. · indexed
1644. Non-Intrusive Driver Condition Monitoring in Highly Automated Vehicles with Medical Information Support for Emergency Calling ↗ · 2019 · Minea, Marius et al. · indexed
1645. Improving teenage driver perceptions regarding the impact of distracted driving in the Pacific Northwest ↗ · 2015 · Hurwitz, David S. et al. · indexed
1646. A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS · 2025 · Zuhair Ghazi Zahid, Ali et al. · archived
1647. Real-Time Driver-Drowsiness Detection System Using Facial Features · 2019 · Deng, Wanghua et al. · archived
1648. Cost-efficient driver state and road conditions monitoring system for conditional automation ↗ · 2017 · Allamehzadeh, Arman et al. · indexed
1649. Evaluation of Electrodermal Activity during Distracted Driving ↗ · 2022 · Gomero, Luis et al. · indexed
1650. Driver Drowsiness Detection Based on Joint Monitoring of Yawning, Blinking and Nodding ↗ · 2020 · Ghourabi, Aicha et al. · indexed
1651. DISTRACTED DRIVING IN OLDER ADULTS: PRACTICES AND ATTITUDES ↗ · 2017 · Hill, Linda et al. · indexed
1652. Real-Time Vision-Based Driver Drowsiness/Fatigue Detection System ↗ · 2010 · Yao, K. P. et al. · indexed
1653. Comprehensive Benchmarking of Attention Enhanced CNNs and Transfer Learning Models for Real Time Driver Drowsiness Detection ↗ · 2026 · Hassan, Osama F. et al. · indexed
1654. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al. · indexed
1655. Technologies for Risk Mitigation and Support of Impaired Drivers ↗ · 2022 · Ahlstrom, Christer et al. · indexed
1656. Car Following and Microscopic Traffic Simulation Under Distracted Driving ↗ · 2021 · Zatmeh-Kanj, Sunbola et al. · indexed
1657. Automated recognition of drunk driving on highways from video sequences ↗ · 2002 · Carswell, B. et al. · indexed
1658. Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model. · 2026 · Saxena S et al. · archived
1659. Multimodal Machine Learning Framework for Driver Mental Workload Classification: A Comparative and Interpretable Approach ↗ · 2026 · Shao, Xiaojun et al. · indexed
1660. Commonly Used Assessment Method to Evaluate Mental Work-load for Multiple Driving Distractions: A Systematic Review ↗ · 2022 · Kabilmiharbi, Nurainaa et al. · indexed
1661. Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System ↗ · 2022 · Rundo, Francesco et al. · indexed
1662. Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor ↗ · 2024 · TADA, Masahiro et al. · indexed
1663. Alert System for Driver Drowsiness using Real Time detection ↗ · 2020 · Aman Doherey et al. · indexed
1664. Microcontroller based driver alertness detection systems to detect drowsiness ↗ · 2018 · Pg Hj Zahari, Ak Muhammad Rahimi et al. · indexed
1665. P10 - Optimizing the Design of a Multi-Sensor System for On-Line Driver State and Drowsiness Detection ↗ · 2014 · Li, L. et al. · indexed
1666. Gated Driver Attention Predictor ↗ · 2023 · Zhao, Tianci et al. · indexed
1667. Mitigating Passive Fatigue in Conditional Automated Driving: Effects of Conversation tasks on Driver Arousal and Attention ↗ · 2026 · Meng, Xiao et al. · indexed
1668. A Smart Safety System for Monitoring Driver Behavior Using Embedded Vision and IoT Technologies ↗ · 2025 · S, Bharathi et al. · indexed
1669. Driver Drowsiness Detection through a Vehicle's Active Probe Action ↗ · 2019 · Yang, Sen et al. · indexed
1670. From distraction to support: evolving perspectives on driver attention support and the case for a holistic, context-aware framework ↗ · 2026 · Reimer, Bryan et al. · indexed
1671. Drowsiness Detection and Alertness Using Eye Motion Monitoring · 2023 · Asghar, Rabia et al. · archived
1672. A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion ↗ · 2020 · Li, Kening et al. · indexed
1673. ACCIDENT PREVENTION BY DETECTING A EYE BLINK OF AN DRIVER ↗ · 2022 · Angadi, Karthika Kottur · indexed
1674. Driver classification and driving style recognition using inertial sensors ↗ · 2013 · Van Ly, Minh et al. · indexed
1675. Influence of Driver Distractions on the Likelihood of Rear-End, Angular, and Single-Vehicle Crashes in Missouri ↗ · 2009 · Ghazizadeh, Mahtab et al. · indexed
1676. An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver · 2017 · Gupta, Rajat et al. · archived
1677. VahakAI Driver Monitoring System ↗ · 2025 · Tyagi, Kavya et al. · indexed
1678. Driver Drowsiness Detection System Using Deep Neural Network ↗ · 2022 · Nalavade, Jagannath E. et al. · indexed
1679. Driver Drowsiness Detection and Alert System using Python and OpenCV ↗ · 2021 · R, BRINDHA HARINI et al. · indexed
1680. Research on Driver Fatigue State Detection Method Based on Deep Learning ↗ · 2021 · Wang, Yonghui et al. · indexed
1681. Assessment of Driver Stress using Multimodal wereable Signals and Self-Attention Networks ↗ · 2024 · Pavan, Kaveti et al. · indexed
1682. Multi-Modal Deep Learning Architecture for Accurate Driver Behavior Recognition in Automated Driving Systems ↗ · 2023 · Alhaek, Fares et al. · indexed
1683. Real-Time Driver Vigilance Assessment Using Yolo and Deep Learning ↗ · 2025 · Dept of AD, East West Institute of Technology, Bengaluru et al. · indexed
1684. Steering in a Random Forest ↗ · 2013 · McDonald, Anthony D. et al. · indexed
1685. A Real-time Driver Fatigue Detection Method Based on Two-Stage Convolutional Neural Network ↗ · 2020 · He, Hu et al. · indexed
1686. VARIABILITY IN THE DISTRACTED DRIVING BEHAVIORS OF OLDER ADULTS ↗ · 2017 · Freed, S. et al. · indexed
1687. A Deep Learning-Based System for Driver Fatigue Detection ↗ · 2024 · Benmohamed, Abderrahim et al. · indexed
1688. Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data ↗ · 2024 · Cheng, Kun et al. · indexed
1689. AI-Driven Driver Behavior Assessment Through Vehicle and Health Monitoring for Safe Driving—A Survey ↗ · 2024 · Yaqoob, Shumayla et al. · indexed
1690. How to Prevent Drivers before Their Sleepiness Using Deep Learning-Based Approach ↗ · 2023 · Akrout, Belhassen et al. · indexed
1691. Identifying Negative Driver States that Share Commonalities for Interventions ↗ · 2025 · Seaman, Sean et al. · indexed
1692. Can You Hazard a Guess?: Evaluating the Effect of Augmented Reality Cues on Driver Hazard Prediction ↗ · 2024 · Goodge, Thomas Alexander et al. · indexed
1693. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al. · indexed
1694. Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysis ↗ · 2021 · Das, Subasish · indexed
1695. Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge ↗ · 2020 · Rangesh, Akshay et al. · indexed
1696. What drives technology-based distractions? A structural equation model on social-psychological factors of technology-based driver distraction engagement ↗ · 2016 · Chen, Huei-Yen Winnie et al. · indexed
1697. The Impact of Distraction Mitigation Strategies on Driving Performance ↗ · 2006 · Donmez, Birsen et al. · indexed
1698. Driver Drowsiness Detection Using Machine Learning ↗ · 2025 · P, Mithun et al. · indexed
1699. Real Time Driver Fatigue Detection System Based on Multi-Task ConNN ↗ · 2020 · Savas, Burcu Kir et al. · indexed
1700. A Driving Position-Sensitive Neural Network for Driver Fixation Prediction ↗ · 2022 · Ji, Shihui et al. · indexed
1701. Smartphone-Based Adaptive Driving Maneuver Detection: A Large-Scale Evaluation Study ↗ · 2017 · Castignani, German et al. · indexed
1702. DrowsyDG-Phys: Generalizable driver drowsiness estimation in conditional automated vehicles using physiological signals ↗ · 2026 · Wang, Jiyao et al. · indexed
1703. Smartphone Sensor Dataset for Driver Behavior Analysis ↗ · 2022 · Wawage, Pawan et al. · indexed
1704. “Looking at the Right Stuff” – Guided Semantic-Gaze for Autonomous Driving ↗ · 2020 · Pal, Anwesan et al. · indexed
1705. Sleep Detection System for Trucks: A Real-Time Multi-Modal Data-Driven AI Framework for Driver Fatigue Monitoring · 2025 · Verma, Paras · archived
1706. When does visual distraction become dangerous in car-following? Evidence from naturalistic driving study data with causal inference on time-to-collision and braking intensity ↗ · 2026 · Chun, Uibeom et al. · indexed
1707. AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong · indexed
1708. Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection ↗ · 2020 · Kundinger, Thomas et al. · indexed
1709. On vehicle aggressive driving behavior detection using visual information ↗ · 2015 · Kumtepe, Ömürcan et al. · indexed
1710. End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras ↗ · 2023 · Zhao, Zhouqiao et al. · indexed
1711. A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction · 2021 · Deng, Qi et al. · archived
1712. Texting while driving using Google Glass ↗ · 2014 · Tippey, Kathryn G. et al. · indexed
1713. What factors influence drivers’ response time for evasive maneuvers in real traffic? ↗ · 2012 · Dozza, Marco · indexed
1714. Convolutional and Recurrent Neural Networks for Driver Identification: An Empirical Study ↗ · 2022 · Nasr Azadani, Mozhgan et al. · indexed
1715. Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System ↗ · 2015 · Martinez, Maria Victoria et al. · indexed
1716. An FPGA System for Driver Mobile Usage Detection and Heart Rate-Based Health Monitoring ↗ · 2022 · Heenetimulla, H. D. Suthira M. et al. · indexed
1717. Ergonomics methods for identifying sources and effects of bus driver distraction ↗ · 2018 · Keffane, S · indexed
1718. Driver Drowsiness Detection Using CNN and LSTM ↗ · 2025 · Reddy, B. Karthikender et al. · indexed
1719. Event-related driver stress detection with smartphones in an urban environment: a naturalistic driving study ↗ · 2024 · Zhou, Xin et al. · indexed
1720. ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle · 2021 · Gomaa, Amr et al. · archived
1721. Secondary task and risky driving behavior: a test of the mediating effect of situation awareness ↗ · 2015 · Hartono, Budi et al. · indexed
1722. Special issue on car navigation and vehicle systems · 2014 · Porikli, Fatih et al. · archived
1723. Driver Drowsiness Detection and Warning using Facial Features and Hand Gestures ↗ · 2023 · Agarkar, Arpit S et al. · indexed
1724. PAND: Precise Action Recognition on Naturalistic Driving ↗ · 2022 · Zhao, Hangyue et al. · indexed
1725. Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System ↗ · 2019 · Ding, Sirui et al. · indexed
1726. Comparing datasets for generalizing models of driver intent in dynamic environments ↗ · 2016 · Driggs-Campbell, Katherine et al. · indexed
1727. Driver abnormal behavior detection system using two-stage object detection ↗ · 2023 · Wang, C. et al. · indexed
1728. Predicting the Degree of Distracted Driving Based on fNIRS Functional Connectivity: A Pilot Study · 2022 · Ogihara, Takahiko et al. · archived
1729. Context–aware assistive driving: an overview of techniques for mitigating the risks of driver in real-time driving environment ↗ · 2021 · Gite, Shilpa et al. · indexed
1730. The comparison of regional and urban transit bus driver distraction ↗ · 2014 · D’Souza, K. A. et al. · indexed
1731. Driver Drowsiness Detection using Machine Learning Algorithms ↗ · 2022 · Cheerla, Sreevardhan et al. · indexed
1732. Real-Time Driver’s Monitoring Mobile Application through Head Pose, Drowsiness and Angry Detection ↗ · 2021 · Ujir, Hamimah et al. · indexed
1733. Vision-Based Traffic Conflict Detection of Signalized Intersections · 2018 · Sharma, Anuj · archived
1734. Robust Hand Detection and Classification in Vehicles and in the Wild ↗ · 2017 · Le, T. Hoang Ngan et al. · indexed
1735. Driver categorization based on vehicle motion and trajectory data ↗ · 2015 · Mihaly, Andras et al. · indexed
1736. An electrophysiological study of the impact of a Forward Collision Warning System in a simulator driving task ↗ · 2012 · Bueno, Mercedes et al. · indexed
1737. Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning ↗ · 2023 · Arumugam, Subramanian et al. · indexed
1738. DRIVING DISTRACTION DUE TO DRONES · 2018 · Hurwitz, David S. et al. · archived
1739. Safe Driving Using Mobile Phones · 2012 · Fazeen, Mohamed et al. · archived
1740. DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data ↗ · 2024 · Venkateswarlu, Madduri et al. · indexed
1741. ARISE: Explainable Multimodal Aggressive Driving Detection via Driver State and Environment Perception ↗ · 2025 · Zhang, Sainan et al. · indexed
1742. Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression · 2022 · Meteier, Quentin et al. · archived
1743. SmartV: Intelligent vigilance monitoring based on sensor fusion and driving dynamics ↗ · 2013 · Wijayagunawardhane, N. R. B. et al. · indexed
1744. Smart Edge-Based Driver Drowsiness Detection in Mobile Crowdsourcing ↗ · 2023 · Lamaazi, Hanane et al. · indexed
1745. Detecting intermittent steering activity: Development of a phase-detection algorithm ↗ · 2012 · Chaves, Hugo M. Da Silva Peixoto de Aboim et al. · indexed
1746. Fatigue Driving Detection Based on Eye Features ↗ · 2025 · Yao, Shengnan et al. · indexed
1747. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
1748. Normalized Facial Features-Based DNN for a Driver’s Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios ↗ · 2023 · Lollett, Catherine et al. · indexed
1749. The application of an RGB-D camera for monitoring the allocation of visual attention among high-speed train drivers · 2025 · Shen, Weiyi et al. · archived
1750. Vision-based drowsiness detector for real driving conditions ↗ · 2012 · Garcia, I. et al. · indexed
1751. Adaptive multimodal learning for driver cognitive state monitoring using transformer-based fusion with personalized meta-learning and federated optimization · 2026 · Abinaya, G. et al. · archived
1752. Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver · 2021 · Ahammed, Kawser et al. · archived
1753. Detection of Driver Stature Using Behavioral and Psychological Aspects ↗ · 2023 · M V, Kavyanjali et al. · indexed
1754. Gaze and Eye Tracking: Techniques and Applications in ADAS ↗ · 2019 · Khan, Muhammad Qasim et al. · indexed
1755. Contextual Analysis of Strategies and Interaction Motivations with Smartphones in Vehicles ↗ · 2016 · Quaresma, Manuela et al. · indexed
1756. Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle ↗ · 2012 · McDonald, Anthony D. et al. · indexed
1757. Recherche d’indicateurs électrodermaux pour l’analyse de la charge mentale en conduite automobile ↗ · 2009 · Clarion, Antoine · indexed
1758. Cost-Efficient Driver Distraction Detection System: Transformer-Based Classification on Bayer Image ↗ · 2024 · Wei, Chuheng et al. · indexed
1759. Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems ↗ · 2021 · Ledezma, Agapito et al. · indexed
1760. Making Roads Safer by Making Drivers Better ↗ · 2017 · Balakrishnan, Hari · indexed
1761. Driver behavior classification model based on an intelligent driving diagnosis system ↗ · 2012 · Quintero M., Christian G. et al. · indexed
1762. NeuralPOS: Physiological Measurement via Remote Photoplethysmography for Driver Monitoring ↗ · 2024 · Jiang, Titong et al. · indexed
1763. Inattentive Drowsiness Behavior Profile Detection with Heavy Eyed Interval Approach for Biomedical Applications in Health Monitoring System ↗ · 2021 · Sworna Kokila, M. L. et al. · indexed
1764. Driver drowsiness detection using face expression recognition ↗ · 2011 · Assari, Mohammad Amin et al. · indexed
1765. Detection of yawning in driver behavior based a convolutional neural network ↗ · 2022 · Lashkov, I.B. · indexed
1766. An Examination of the Efficacy of a Brief Educational Program on Driver Distraction ↗ · 2003 · Kramer, Arthur F et al. · indexed
1767. Machine Learning Techniques for Cognition of Driving Context ↗ · 2019 · Hina, Manolo Dulva et al. · indexed
1768. Kalman Filtering to Track Changes in Pupil Size for Automated Driving Systems ↗ · 2021 · Pillai, Prarthana et al. · indexed
1769. Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods ↗ · 2018 · Oliveira, Licinio et al. · indexed
1770. Drowsiness Detection for Drivers Using Convolutional Neural Networks (CNNs) ↗ · 2024 · Ali · indexed
1771. Driver Drowsiness Monitoring System using Machine Learning ↗ · 2023 · Srivastava, Sanjeevani · indexed
1772. Latent Psychological Data Structure of Secondary Driving Tasks ↗ · 2004 · Curry, Reates · indexed
1773. Driver Drowsiness Detection Based on LiDAR-Based Road Boundary Detection ↗ · 2024 · Teoh, Tai Shie et al. · indexed
1774. Fatigue warning system for driver nodding off using depth image from Kinect ↗ · 2016 · Wongphanngam, Jiramet et al. · indexed
1775. Detection of drowsy driving based on driving information ↗ · 2014 · Lee, Jeong-Woo et al. · indexed
1776. Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Data · 2024 · Wang, Ange et al. · archived
1777. Adaptive User-Centered Multimodal Interaction towards Reliable and Trusted Automotive Interfaces · 2022 · Gomaa, Amr · archived
1778. IoT-Enabled Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Guria, Mrinmoy et al. · indexed
1779. Impact of Distracted Drivers on Individual and Group Behavior of Following Vehicles: A Networked Multi-Driver Simulator Study ↗ · 2018 · Xu, Jing et al. · indexed
1780. Comprehensive Drowsiness Level Detection Model Combining Multimodal Information ↗ · 2019 · Sunagawa, Mika et al. · indexed
1781. Do distinct mind wandering differently disrupt drivers? Interpretation of physiological and behavioral pattern with a data triangulation method ↗ · 2018 · Pepin, Guillaume et al. · indexed
1782. In-Vehicle Phone Localization for Prevention of Distracted Driving ↗ · 2023 · Chen, Chun-Yu et al. · indexed
1783. Driver Drowsiness Detection Using Deep Learning ↗ · 2023 · Ojha, Dhiren et al. · indexed
1784. EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism ↗ · 2023 · Wang, Ling et al. · indexed
1785. Real time detection of driver fatigue based on CNN‐LSTM ↗ · 2021 · Liu, Ming‐Zhou et al. · indexed
1786. Classification of Driver Head Motions Using a mm-Wave FMCW Radar and Deep Convolutional Neural Network ↗ · 2021 · Bresnahan, Drew G. et al. · indexed
1787. On driver gaze estimation: Explorations and fusion of geometric and data driven approaches ↗ · 2016 · Vasli, Borhan et al. · indexed
1788. Driver Fatigue Prediction with Real Time Driver Alert System Using Deep Learning ↗ · 2022 · Jothimani, S. et al. · indexed
1789. National Survey of Distracted and Drowsy Driving Attitudes and Behavior: 2002: Volume 3: Methods · 2003 · Royal, Dawn · archived
1790. A Framework for Multi-Modal Driving Style Recognition Using Self-Supervised Contrastive Learning ↗ · 2025 · Boboc, Răzvan Gabriel et al. · indexed
1791. Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures ↗ · 2022 · He, Dengbo et al. · indexed
1792. An Efficient Detection of Driver Tiredness and Fatigue using Deep Learning ↗ · 2022 · Nirmala, M et al. · indexed
1793. Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning ↗ · 2021 · Tamanani, Reza et al. · indexed
1794. EEG-based brain dynamics of driving distraction ↗ · 2011 · Lin, Chin-Teng et al. · indexed
1795. Accident Prevention System for Drivers Safety · 2025 · Garje, Avantika · archived
1796. Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al. · archived
1797. Do as I say, not as I do: Distracted driving behavior of teens and their parents ↗ · 2015 · Raymond Bingham, C. et al. · indexed
1798. DDGNet-YOLO: A Target Detection Network For Dangerous Driving Gestures ↗ · 2020 · Zhou, Yefan et al. · indexed
1799. Wristband-Type Driver Vigilance Monitoring System Using Smartwatch ↗ · 2015 · Lee, Boon-Giin et al. · indexed
1800. A Channel-Augmented Multi-Domain Graph Convolutional Network for Fatigue Driving Detection ↗ · 2024 · Sun, Mingyi et al. · indexed
1801. Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA · archived
1802. A survey on driving behavior analysis in usage based insurance using big data · 2019 · Arumugam, Subramanian et al. · archived
1803. Distracted Driving Behaviors and Beliefs among Older Adults ↗ · 2018 · Hill, Linda et al. · indexed
1804. Near-Infrared Image and YOLO Based Driver Monitoring System Design by Integrating with Head Pose and Gaze Estimation Functions ↗ · 2026 · Ciou, Siang-En et al. · indexed
1805. Deep Classification-driven Domain Adaptation for Cross-Modal Driver Behavior Recognition ↗ · 2020 · Reiss, Simon et al. · indexed
1806. Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles · 2025 · Lu, Xiao et al. · archived
1807. Towards Drowsiness Driving Detection Based on Multi-Feature Fusion and LSTM Networks ↗ · 2020 · Hong, Lin et al. · indexed
1808. Head tracking based glance area estimation for driver behaviour modelling during lane change execution ↗ · 2014 · Pech, Timo et al. · indexed
1809. Driver Assistance Systems with Driver Drowsiness Detection Using Haar-Cascade Algorithm ↗ · 2023 · Gaikwad, Sujata et al. · indexed
1810. DrowsyNet: Multivariate Time Series Classification for Embedded Driver Drowsiness Detection ↗ · 2022 · Zu, Shicheng et al. · indexed
1811. Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion · 2011 · Katz, Bryan et al. · archived
1812. Multimodal Driver Drowsiness Detection Using Facial Expressions and Ear-EEGs With a Lightweight Auto-Denoising Network ↗ · 2025 · Mai, Ngoc-Dau et al. · indexed
1813. Effectiveness of a Dual Control Theoretic Driver Assistance for Attaining Safety and Identifying Driver State ↗ · 2015 · Saito, Yuichi et al. · indexed
1814. Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving ↗ · 2019 · Martensson, Henrik et al. · indexed
1815. Modular design of fatigue detection in naturalistic driving environments ↗ · 2018 · Al-libawy, Hilal et al. · indexed
1816. Real-Time Driver Drowsiness Detection Using CNN, MediaPipe, and ML Classifiers ↗ · 2025 · Joshi, Puskar et al. · indexed
1817. Driver Safety Prediction System ↗ · 2022 · Raja K, Kalyan et al. · indexed
1818. Driver Drowsiness and Yawn Detection ↗ · 2021 · Fale, Pradeep N. · indexed
1819. Driver Drowsiness Estimation Based on Factorized Bilinear Feature Fusion and a Long-Short-Term Recurrent Convolutional Network ↗ · 2020 · Chen, Shuang et al. · indexed
1820. Real-Time System for Driver Fatigue Detection by RGB-D Camera ↗ · 2015 · Zhang, Liyan et al. · indexed
1821. Driving Home the Message ↗ · 2014 · Downs, Edward · indexed
1822. Measuring Driving Behaviors from Live Video ↗ · 2012 · Wang, Kunfeng et al. · indexed
1823. Driver fatigue detection system based on machine vision ↗ · 2008 · Zhibin Zhang et al. · indexed
1824. Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data ↗ · 2018 · Gao, Zhen et al. · indexed
1825. A review on driver drowsiness based on image, bio-signal, and driver behavior ↗ · 2017 · Pratama, Bagus G. et al. · indexed
1826. Study on driver fatigue and loosing alertness based on machine vision ↗ · 2010 · Zhang Ming-heng et al. · indexed
1827. Towards a Ready-to-Use Drivers' Vigilance Monitoring System ↗ · 2008 · Ibarra-Orozco, Rodolfo et al. · indexed
1828. Real-Time Driver Fatigue Detection Using Automated Eye-State Annotation and Transformerbased Deep Learning Models ↗ · 2026 · A, Hepziba et al. · indexed
1829. Estimation of traffic sign visibility considering local and global features in a driving environment ↗ · 2014 · Doman, Keisuke et al. · indexed
1830. MUST: Smartwatch-based Multimodal Framework for Predicting Driver State and Takeover Performance ↗ · 2026 · Sheem, Seokyong et al. · indexed
1831. Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning · 2024 · Khan, Mehshan Ahmed et al. · archived
1832. Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver ↗ · 2020 · Ahammed, Kawser et al. · indexed
1833. Driver Drowsiness Detection and Alert System Using Computer Vision ↗ · 2025 · Kumar, Suresh et al. · indexed
1834. Recognizing autonomous driving disengagement scenarios using the transferable knowledge from human driver’s EEG cognitive data ↗ · 2025 · Qi, Geqi et al. · indexed
1835. DROWSINESS DETECTION AND MONITORING SYSTEM · 2020 · Ghole, Uzair et al. · archived
1836. Passenger Compartment Violation Detection in HOV/HOT Lanes ↗ · 2015 · Artan, Yusuf et al. · indexed
1837. A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device ↗ · 2015 · Kong, Wanzeng et al. · indexed
1838. A Review of Driver Fatigue Detection: Progress and Prospect ↗ · 2019 · Liu, Fan et al. · indexed
1839. A multimodal notification interface for a driver assistance system ↗ · 2015 · Penenory, Victor Manuel et al. · indexed
1840. A Driver Behavior Recognition Method Based on a Driver Model Framework ↗ · 2000 · Kuge, Nobuyuki et al. · indexed
1841. Drivers’ self-regulatory behaviors in active and responsive scenarios ↗ · 2023 · Zhang, Yaping et al. · indexed
1842. Driving behavior recognition using EEG data from a simulated car-following experiment ↗ · 2018 · Yang, Liu et al. · indexed
1843. A comparative review of driver drowsiness detection systems: Recent advances, applications, challenges, and future directions ↗ · 2026 · Peker, Nur Yasin et al. · indexed
1844. Drowsiness Detection System for Vehicles Using Raspberry PI ↗ · 2025 · EM, Athul Krishna · indexed
1845. DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring ↗ · 2024 · Neeraja, Peddinti. et al. · indexed
1846. Capsule Attention for Multimodal EEG-EOG Representation Learning With Application to Driver Vigilance Estimation · 2021 · Zhang, Guangyi et al. · archived
1847. Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors ↗ · 2008 · Heo, Seongkook · indexed
1848. Highway Driving Events Identification and Classification using Smartphone ↗ · 2018 · Al-Din, Munaf Salim Najim · indexed
1849. Driving Status' Monitoring and Alarming System Based on Information Fusion Technology ↗ · 2006 · Jin Zhang et al. · indexed
1850. Hypovigilance warning system: A review on driver alerting techniques ↗ · 2011 · Arun, S et al. · indexed
1851. Detection of consciousness degradation and concentration of a driver for friendly information service ↗ · 2002 · Kojima, N. et al. · indexed
1852. A Comparative Analysis of Revealing Temporal Patterns for Driver Drowsiness Detection ↗ · 2022 · Tufekci, Gulin et al. · indexed
1853. A Deep Learning Approach to Detect Sustained Attention in Real-Time Using EEG Signals ↗ · 2021 · Tiwari, Aarushi et al. · indexed
1854. Distracted Motor Vehicle Driving at Highway–Rail Grade Crossings ↗ · 2015 · Tung, Li-Wei et al. · indexed
1855. Eyelid-based driver state classification under simulated and real driving conditions ↗ · 2014 · Ebrahim, Parisa et al. · indexed
1856. Siamese Network for Multi-View Driver Monitoring in Realistic Driving Settings ↗ · 2025 · Mimouni, Raed et al. · indexed
1857. Development of Driver State Monitoring System based on Multi-Sensor Data Fusion ↗ · 2023 · Park, Sunhong et al. · indexed
1858. Comparisons of Machine Learning Algorithms for Driving Behavior Recognition Using In-Vehicle CAN Bus Data ↗ · 2019 · Chen, Wenhui et al. · indexed
1859. Based on Facial Geometric Features and Hand Motion Characteristics Driver Fatigue Detection ↗ · 2019 · LIU, Mingzhou · indexed
1860. Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al. · archived
1861. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
1862. Drowsiness Using Convolutional Neural Networks for Detection Drivers ↗ · 2024 · Majali, Ali · indexed
1863. Neural Networks for Driver Behavior Analysis ↗ · 2021 · Martinelli, Fabio et al. · indexed
1864. Initial Testing of a Web-Based Intervention to Reduce Adolescent Driver Inattention: A Randomized Controlled Trial ↗ · 2021 · McDonald, Catherine C. et al. · indexed
1865. Study on response time measurement of distracted driving by virtual reality driving simulator ↗ · 2019 · Kim, Sunwoo et al. · indexed
1866. Evaluation of Driver Distraction with Changes in Gaze Direction Based on a Vestibulo-Ocular Reflex Model ↗ · 2017 · Son, Le Anh et al. · indexed
1867. Efficacité des alertes signalant un risque de collision par l’arrière chez le conducteur distrait ↗ · 2016 · Fort, Alexandra et al. · indexed
1868. Individual differences in effects of secondary cognitive activity during driving on temperature at the nose tip ↗ · 2009 · Itoh, Makoto · indexed
1869. Robust Occupant Behavior Recognition via Multimodal Sequence Modeling: A Comparative Study for In-Vehicle Monitoring Systems ↗ · 2025 · Kim, Jisu et al. · indexed
1870. Evaluation of Driver Reaction to Disengagement of Advanced Driver Assistance System with Different Warning Systems While Driving Under Various Distractions ↗ · 2024 · Shirani, Niloufar et al. · indexed
1871. Enhanced Driver Safety with Advanced Vision Systems ↗ · 2018 · Howard, Dwight · indexed
1872. IoT and Computer Vision Based Driver Safety Monitoring System with Risk Prediction ↗ · 2018 · Shan, Sama-E et al. · indexed
1873. Driver Drowsiness Detection Using Deep Learning ↗ · 2023 · Jerith, Dr. G. Gifta · indexed
1874. Multi-sensor driver monitoring for drowsiness prediction ↗ · 2023 · Schwarz, Chris et al. · indexed
1875. Machine Learning Approaches for Detecting Driver Drowsiness: A Critical Review ↗ · 2023 · Ahmad, Khubab et al. · indexed
1876. SLEEPINESS OR DROWZINESS AND FATIGUE DETECTION SYSTEM OF DRIVER IN THE ROAD NETWORK ↗ · 2024 · UG Scholar, Guru Nanak Institutions Technical Campus, Hyderabad et al. · indexed
1877. A Method of Intelligent Driving-Style Recognition Using Natural Driving Data ↗ · 2024 · Zhang, Siyang et al. · indexed
1878. Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning ↗ · 2021 · Altameem, Ayman et al. · indexed
1879. Associations of distraction involvement and age with driver injury severities ↗ · 2015 · Donmez, Birsen et al. · indexed
1880. A Drowsy Driver Detection and security system ↗ · 2009 · Garg, Rajat et al. · indexed
1881. Alertness Anticipation Innovations in Driver Safety Predictions ↗ · 2023 · S, Priyanka et al. · indexed
1882. An embedded intelligence engine for driver drowsiness detection ↗ · 2022 · Vadlamudi, Shirisha et al. · indexed
1883. A contextual and temporal algorithm for driver drowsiness detection ↗ · 2018 · McDonald, Anthony D. et al. · indexed
1884. Driver Drowsiness Detection based on Monitoring of Eye Blink Rate ↗ · 2022 · Baby Shamini, P et al. · indexed
1885. A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis · 2021 · Zhang, Ce et al. · archived
1886. Hands on Wheel Classification Based on Depth Images and Neural Networks · 2020 · Schmitz, Jan-Christoph et al. · archived
1887. A Deep Neural Network for Real-Time Driver Drowsiness Detection · 2019 · Toan H., VU et al. · archived
1888. Optical flow based head movement and gesture analysis in automotive environment ↗ · 2012 · Martin, Sujitha et al. · indexed
1889. Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion ↗ · 2021 · Wu, Tong et al. · indexed
1890. A Drowsiness and Point of Attention Monitoring System for Driver Vigilance ↗ · 2007 · Batista, Jorge · indexed
1891. Iot-Enabled Real-Time Driver Monitoring System for Drowsiness and Alcohol Detection Using Arduino and OpenCV · 2026 · Rani, B Usha et al. · archived
1892. Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras ↗ · 2023 · Chengula, Tumlumbe Juliana et al. · indexed
1893. EEG-signals based cognitive workload detection of vehicle driver using deep learning ↗ · 2018 · Almogbel, Mohammad A. et al. · indexed
1894. Driver Emotion Recognition for Enhancement of Human Machine Interface in Vehicles ↗ · 2019 · Patil, Mrinalini et al. · indexed
1895. Detection of driver’s hazardous situation using coarse far-infrared image ↗ · 2008 · Miki Nakayama et al. · indexed
1896. Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness Detection ↗ · 2007 · Eskandarian, Azim et al. · indexed
1897. Driver sleepiness detection with deep neural networks using electrophysiological data ↗ · 2021 · Hultman, Martin et al. · indexed
1898. Smartwatch-Based Driver Vigilance Indicator With Kernel-Fuzzy-C-Means-Wavelet Method ↗ · 2016 · Lee, Boon Giin et al. · indexed
1899. Driving style recognition using a smartphone as a sensor platform ↗ · 2011 · Johnson, Derick A. et al. · indexed
1900. AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness ↗ · 2024 · Agbaje, Paul et al. · indexed
1901. Analysis of the Influence of Training Data on Road User Detection · 2018 · Guindel, Carlos et al. · archived
1902. The Effects of Using a Virtual Agent to Signal Danger on Hazard Prediction Ability in Conditionally Automated Driving ↗ · 2026 · Goodge, Thomas et al. · indexed
1903. Driver Monitoring of Automated Vehicles by Classification of Driver Drowsiness Using a Deep Convolutional Neural Network Trained by Scalograms of ECG Signals ↗ · 2022 · Arefnezhad, Sadegh et al. · indexed
1904. Support Vector Machine Based Intelligent Driver Drowsiness Monitoring System ↗ · 2020 · Gandavadi, Kaushal · indexed
1905. Sampling Biases Associated with Driver Distraction Tasks in a Simulated Environment ↗ · 2015 · Wu, Xingwei et al. · indexed
1906. Efficient Modality Fusion Framework for Driver Cognitive Load Classification ↗ · 2025 · Park, Sumin et al. · indexed
1907. Young drivers and cellphone distraction: Pattern recognition from fatal crashes ↗ · 2022 · Das, Subasish · indexed
1908. Driving Maneuver Classification: A Comparison of Feature Extraction Methods ↗ · 2017 · Xie, Jie et al. · indexed
1909. Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences ↗ · 2022 · Zhu, Tianjun et al. · indexed
1910. Understanding Driving Behavior Using fNIRS and Machine Learning ↗ · 2021 · Izzetoglu, M. et al. · indexed
1911. Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation ↗ · 2010 · Perez, Antonio et al. · indexed
1912. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
1913. Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques · 2023 · Siam, Ali I. et al. · archived
1914. Real-Time Based Driver's Drowsiness and Fatigue Detection System ↗ · 2022 · Srivastava, Ashish et al. · indexed
1915. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety ↗ · 2023 · Safarov, Furkat et al. · indexed
1916. Real Time Driver Drowsiness Detecion using Transfer learning ↗ · 2023 · Gupta, Neha et al. · indexed
1917. A deep learning framework for non-intrusive driver drowsiness detection ↗ · 2023 · Khandare, Hrishikesh et al. · indexed
1918. Real Time Driver Fatigue Detection Based on SVM Algorithm ↗ · 2018 · Savas, Burcu Kir et al. · indexed
1919. Monitoring Driving in a Monotonous Environment: Classification and Recognition of Driving Fatigue Based on Long Short-Term Memory Network ↗ · 2022 · Han, Hao et al. · indexed
1920. Vision Transformer-Based Real-Time Driver Drowsiness Monitoring with Enhanced Safety Performance ↗ · 2026 · Reddy, Anduri Manisha et al. · indexed
1921. Resource-Conscious Architecture Search for Driver Distraction Detection: A Pareto Optimised Multi-Objective Approach ↗ · 2024 · Bouali, Yassamine Lala et al. · indexed
1922. Convolutional Three-Stream Network Fusion for Driver Fatigue Detection from Infrared Videos ↗ · 2019 · Ma, Xiaoxi et al. · indexed
1923. Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short‐term memory units ↗ · 2019 · Xiao, Zhitao et al. · indexed
1924. The Naturalistic Study of Distracted Driving: Moving from Research to Practice ↗ · 2011 · Hanowski, Richard Joseph · indexed
1925. Driver-Drowsiness Detection System Using Deep Learning (CNN) ↗ · 2023 · Ridwan, Firman et al. · indexed
1926. Drowsiness Detection Application ↗ · 2022 · Drowsiness Detection Application et al. · indexed
1927. Stereo vision-based driver head pose estimation ↗ · 2014 · Hoffken, Matthias et al. · indexed
1928. Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data ↗ · 2019 · Qiu, Yuning et al. · indexed
1929. Deep Learning Review on Drivers Drowsiness Detection ↗ · 2019 · Ukwuoma, Chiagoziem C. et al. · indexed
1930. Deciphering 140 Characters ↗ · 2014 · Roberts, Shannon C. et al. · indexed
1931. Dimensional Emotion-Guided Conditional Modulation for Context-Aware Multimodal Driver Affect Recognition ↗ · 2026 · Shen, Wei et al. · indexed
1932. Exploring the Behaviour Change Wheel and the Theoretical Domains Framework in interventions for mobile phone driver distraction: A scoping review ↗ · 2024 · Demir, Basar et al. · indexed
1933. Extracting Features from Driving Scenarios for Driving Workload Level Classification - A Case Study of Transfer Learning ↗ · 2021 · Liu, Yongkang et al. · indexed
1934. A Real-Time Subway Driver Action Sensoring and Detection Based on Lightweight ShuffleNetV2 Network ↗ · 2023 · Shen, Xing et al. · indexed
1935. A Survey on Fatigue and Drowsiness Detection Techniques in Driving ↗ · 2021 · Rather, Adil Ahmad et al. · indexed
1936. Driver Head Pose Estimation with Multimodal Temporal Fusion of Color and Depth Modeling Networks ↗ · 2024 · Gogineni, Susmitha et al. · indexed
1937. Multi-Feature Driver Drowsiness Detection ↗ · 2021 · Abdulrahman, Hajar et al. · indexed
1938. Real Time Driver Drowsiness Detection System using OpenCV ↗ · 2021 · H, Ritish · indexed
1939. Driver alert state and fatigue detection by salient points analysis ↗ · 2009 · Jimenez-Pinto, Javier et al. · indexed
1940. What do we mean by cognitive load? Towards more accurate definition of the term for better identification by driver monitoring systems ↗ · 2023 · Goodridge, Courtney Michael et al. · indexed
1941. Driver Drowsiness Detection System using Convolutional Neural Network ↗ · 2022 · Elham Walizad, Mohammad et al. · indexed
1942. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
1943. Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units. · 2019 · Narayanan, Athma et al. · archived
1944. Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs ↗ · 2022 · Tabatabaie, Mahan et al. · indexed
1945. Calling While Driving: An Initial Experiment with HoloLens ↗ · 2017 · Kun, Andrew L et al. · indexed
1946. The Risk of a Safety-Critical Event Associated With Mobile Device Use in Specific Driving Contexts ↗ · 2014 · Fitch, Gregory M. et al. · indexed
1947. Assessing Driver Cognitive Load from Handsfree Mobile Phone Use: Innovative Analysis Approach Based on Heart Rate, Blood Pressure and Machine Learning ↗ · 2025 · Sharif, Mhd Saeed et al. · indexed
1948. Reducing Distracted Driving Among Adults: Child-to-Adult Interventions · 2022 · Fisher, D. L. et al. · archived
1949. A Vision-Based Approach for Real-Time Driver Fatigue Detection Using Facial Landmarks ↗ · 2026 · A M, Pranamya et al. · indexed
1950. Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM ↗ · 2020 · Hu, Yaocong et al. · indexed
1951. Detection of a Drowsy state of the Driver on road using wearable sensors: A survey ↗ · 2018 · Mashru, Dishita et al. · indexed
1952. YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al. · archived
1953. Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al. · archived
1954. CNN-based Cognitive Distraction Surveillance for Pedestrians using Phones and Headphones ↗ · 2023 · Ghosh, Arunava et al. · indexed
1955. Head pose estimation based on feature extraction, fuzzy C-means and neural network for driver assistance system ↗ · 2014 · Zhang, Le et al. · indexed
1956. Steering Wheel Behavior Based Estimation of Fatigue ↗ · 2009 · Krajewski, Jarek et al. · indexed
1957. On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset · 2022 · Greer, Ross et al. · archived
1958. An efficient method for driver fatigue state detection based on deep learning ↗ · 2019 · Liu, Shiwang et al. · indexed
1959. Face Positioned Driver Drowsiness Detection Using Multistage Adaptive 3D Convolutional Neural Network ↗ · 2023 · Adhithyaa, N. et al. · indexed
1960. Intention-Aware Lane Keeping Assist Using Driver Gaze Information ↗ · 2023 · Dahl, John et al. · indexed
1961. Commercial Truck Driver Health and Safety ↗ · 2016 · Stavrinos, Despina et al. · indexed
1962. In-cabin occupant monitoring system based on improved Yolo, deep reinforcement learning, and multi-task CNN for autonomous driving ↗ · 2023 · KHRAIEF OULED AZAIZ, Chadia et al. · indexed
1963. Raspberry Pi Based Driver Drowsiness Detection System Using Convolutional Neural Network (CNN) ↗ · 2022 · I, Safie S. et al. · indexed
1964. Deep Learning and LSTM Integration for Analyzing Driver Behaviors ↗ · 2025 · Cinar, Ilkay · indexed
1965. The role of driver head pose dynamics and instantaneous driving in safety critical events: Application of computer vision in naturalistic driving ↗ · 2024 · Khattak, Zulqarnain H. et al. · indexed
1966. Driver Drowsiness Classification using Machine Learning and Heart Rate Variability ↗ · 2023 · Meneses, Miguel V. P. R. et al. · indexed
1967. DETECTION OF DRIVER SLEEPINESS AND WARNING THE DRIVER IN REAL-TIME USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES ↗ · 2017 · Umut, İlhan et al. · indexed
1968. ‘Owl’ and ‘Lizard’: patterns of head pose and eye pose in driver gaze classification ↗ · 2016 · Fridman, Lex et al. · indexed
1969. MMPHGCN: A Hypergraph Convolutional Network for Detection of Driver Intention on Multimodal Physiological Signals ↗ · 2024 · Zhang, Wenqi et al. · indexed
1970. Real time dangerous driving status detection ↗ · 2011 · Huang, Yong-Ren · indexed
1971. Motion estimation on driver video data ↗ · 2004 · Marx, J. et al. · indexed
1972. Driver Distraction: A Perennial but Preventable Public Health Threat to Adolescents ↗ · 2014 · Bingham, C. Raymond · indexed
1973. AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection ↗ · 2024 · Liu, Sheng et al. · indexed
1974. Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network ↗ · 2021 · Zhu, Miankuan et al. · indexed
1975. Drowsiness Detection Methods for Driver's: A Review ↗ · 2015 · B.Ghule, Vrushali et al. · indexed
1976. Driver drowsiness monitoring system based on facial Landmark detection with convolutional neural network for prediction ↗ · 2022 · Albasrawi, Roaa et al. · indexed
1977. Dangerous driving behavior detection using video-extracted vehicle trajectory histograms ↗ · 2017 · Chen, Zhijun et al. · indexed
1978. Driver Drowsiness Detection System Using Convolutional Neural Networks ↗ · 2022 · M. Kusuma Sri et al. · indexed
1979. VTD-Visual and Tactile Database for Driver State and Behavior Perception ↗ · 2023 · Wang, Jie et al. · indexed
1980. The relative impact of smartwatch and smartphone use while driving on workload, attention, and driving performance ↗ · 2019 · Perlman, David et al. · indexed
1981. Real-time driving manoeuvre prediction using IO-HMM and driver cephalo-ocular behaviour ↗ · 2017 · Zabihi, S.M. et al. · indexed
1982. Driving assistance using smartdevices ↗ · 2014 · Buscarino, Arturo et al. · indexed
1983. Fatigue driving detection method based on deep learning ↗ · 2023 · lu, peilong et al. · indexed
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2100. Study of wireless safety monitoring system for driver based on information fusion technology ↗ · 2013 · Liu, Yueqi et al. · indexed
2101. A Progressive Review: Emerging Technologies for ADAS Driven Solutions ↗ · 2021 · Nidamanuri, Jaswanth et al. · indexed
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2109. A Brief Review of Using the Inertial Sensor to Determine the Driver Head Posture ↗ · 2021 · Ionut-Cristian, Severin · indexed
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2116. Machine Vision-Based Driver Distraction Detection and Recognition ↗ · 2025 · Xie, Xiao et al. · indexed
2117. Human Gesture Classification for Autonomous Driving Applications using Radars ↗ · 2020 · Ishak, Karim et al. · indexed
2118. Detection and classification of vehicles for traffic video analytics ↗ · 2018 · Arinaldi, Ahmad et al. · indexed
2119. Classification Driver Emotion with Deep Learning Method for Driver Safety Detection ↗ · 2023 · Jaya, Kurniawan Indra et al. · indexed
2120. L2/L3 Driver-Vehicle Safety Risk Assessment via Deep Learning-Based Emotion Detection ↗ · 2025 · Wang, Le et al. · indexed
2121. Machine Learning for Prediction of Driver Takeover Time in Automated Driving: Insights from Non-urgent Low Consequence Scenarios ↗ · 2024 · Villarreal, Ryan Thomas et al. · indexed
2122. A Real-Time Multi-scale Vehicle Detection and Tracking Approach for Smartphones · 2015 · Romera, Eduardo et al. · archived
2123. Safety-Aware Dual-Stream Spatio-Temporal Network with Attention Mechanism for Real-Time Driving Behavior Recognition ↗ · 2026 · LI, HONGGUANG et al. · indexed
2124. Unsupervised Driver Workload Learning through Domain Adaptation from Temporal Signals ↗ · 2020 · Xie, Yongquan et al. · indexed
2125. Predictive Driver Monitoring Using Multimodal AI for Road Safety ↗ · 2026 · Kumar, Arvind et al. · indexed
2126. A Fast Algorithm Face Detection and Head Pose Estimation for Driver Assistant System ↗ · 2006 · Guo, Zhibo et al. · indexed
2127. Research on Driver Style Recognition Based on GA-K-Means and PSO-SVM ↗ · 2024 · Chen, Yinghao et al. · indexed
2128. Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations · 2023 · Greer, Ross et al. · archived
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2131. Situation awareness via sensor-equipped eyeglasses ↗ · 2013 · Windau, Jens et al. · indexed
2132. Driver Posture Recognition: A Review ↗ · 2024 · Mahomed, Afsaana Sultaana et al. · indexed
2133. Deep Learning-Based Real-Time Driver’s Hands-On Detection: A Lightweight Time Series Approach Using CAN Data ↗ · 2026 · Yu, Hyunwoo et al. · indexed
2134. Open-Set Driver Identification System Based on Metric Learning with Driving Situation Awareness ↗ · 2023 · Lim, Jaebong et al. · indexed
2135. UHead ↗ · 2024 · Xu, Chongzhi et al. · indexed
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2137. Traffic scene awareness for intelligent vehicles using ConvNets and stereo vision · 2019 · Guindel, Carlos et al. · archived
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2139. Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision · 2018 · Xing, Yang et al. · archived
2140. Monitoring of Occupant States in Autonomous Vehicles Using Capacitance-Sensing Imaging ↗ · 2020 · Kumar, Rahul Prasanna et al. · indexed
2141. Detection of skin region from multiband near‐IR spectral characteristics ↗ · 2009 · Suzuki, Yasuhiro et al. · indexed
2142. Deep Learning for Robust Vehicle Identification · 2022 · Ramajo Ballester, Álvaro et al. · archived
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2144. Driver posture monitoring in highly automated vehicles using pressure measurement ↗ · 2021 · Zhao, Mingming et al. · indexed
2145. Vehicle Maneuver Detection with Accelerometer-Based Classification ↗ · 2016 · Cervantes-Villanueva, Javier et al. · indexed
2146. Study of Existing Algorithms &amp; Implementation of Vehicle Detection for Smart Warning System for Drivers ↗ · 2023 · Chandavale, Ankita et al. · indexed
2147. Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al. · indexed
2148. Machine Learning-Based Driving Style Classification Real-World Data Prediction ↗ · 2024 · Lee, Gye-Seong · indexed
2149. Real-time Hands-Motion Tracking of Car Driver over Steering-Wheel by Combination of Particle Filter with Deep Neural Network for Body-Region Extraction ↗ · 2021 · Ikoma, Norikazu · indexed
2150. Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles ↗ · 2025 · Rezaei, Mahdi et al. · indexed
2151. REAL-TIME DRIVER DROWSINESS &amp; DISTRACTION DETECTION WITH LIVE MONITORING &amp; EMERGENCY ALERT SYSTEM ↗ · 2025 · Meghana G R, DR. et al. · indexed
2152. GraphRQI: Classifying Driver Behaviors Using Graph Spectrums ↗ · 2020 · Chandra, Rohan et al. · indexed
2153. Practical object recognition in autonomous driving and beyond ↗ · 2011 · Teichman, Alex et al. · indexed
2154. A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing ↗ · 2025 · Marcomini, Karem Daiane et al. · indexed
2155. Detecting Abnormal Driving Behavior Using Modified DenseNet ↗ · 2023 · Ayad, Aisha et al. · indexed
2156. Customized Vehicle Feature Control through Driver Recognition Technology ↗ · 2024 · Marimuthu, Ranjithkumar · indexed
2157. SafeSmartDrive: Real-Time Traffic Environment Detection and Driver Behavior Monitoring With Machine and Deep Learning ↗ · 2024 · Bouhsissin, Soukaina et al. · indexed
2158. A Survey on Visual Surveillance of Object Motion and Behaviors · 2004 · Hu, W. et al. · archived
2159. Vehicle Detection and Tracking in Car Video Based on Motion Model ↗ · 2011 · Jazayeri, Amirali et al. · indexed
2160. A comparative study of color and depth features for hand gesture recognition in naturalistic driving settings ↗ · 2015 · Ohn-Bar, Eshed et al. · indexed
2161. Emotion Recognition in Driver-Centered ADAS: A Modular Vision-Based Approach for In-Cabin Monitoring ↗ · 2026 · Iglesias, José Antonio et al. · indexed
2162. Road traffic: Vehicle detection and classification ↗ · 2017 · Aqel, Siham et al. · indexed
2163. A real-time system for vehicle detection with shadow removal and vehicle classification based on vehicle features at urban roads · 2020 · Atouf, Issan et al. · archived
2164. Higher Accuracy and Lower Computational Perception Environment Based Upon a Real-time Dynamic Region of Interest ↗ · 2022 · Brown, Nicolas Eric et al. · indexed
2165. Dr. MTL: Driver Recommendation using Federated Multi-Task Learning ↗ · 2023 · Vyas, Jayant et al. · indexed
2166. The German Traffic Sign Recognition Benchmark: A multi-class classification competition ↗ · 2011 · Stallkamp, Johannes et al. · indexed
2167. An Active Learning and Deep Attention Framework for Robust Driver Emotion Recognition ↗ · 2025 · Al-dabbagh, Bashar Sami Nayyef et al. · indexed
2168. Multimodal image fusion for enhanced vehicle identification in intelligent transport ↗ · 2025 · Mudawi, Naif Al et al. · indexed
2169. Vehicle Ego-Trajectory Segmentation Using Guidance Cues ↗ · 2024 · Mihalea, Andrei et al. · indexed
2170. Driving Style Classification Using a Semisupervised Support Vector Machine ↗ · 2017 · Wang, Wenshuo et al. · indexed
2171. CNN-Based Distracted Driver Recognition: Enhancing Accuracy Through Optimized Training Techniques ↗ · 2024 · Ma, Chuanzhi · indexed
2172. Smart Driver Monitoring System using Deep Learning ↗ · 2024 · Sakthivel V et al. · indexed
2173. Vision-Based System for Driver Posture Tracking to Prevent Musculoskeletal Disorders ↗ · 2020 · Voinea, Gheorghe-Daniel et al. · indexed
2174. Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention ↗ · 2025 · Duongthang, Long · indexed
2175. Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection ↗ · 2025 · Ghoreishi, Seyedeh Gol Ara et al. · indexed
2176. Driver Identification and Detection of Drowsiness while Driving ↗ · 2024 · Díaz-Santos, Sonia et al. · indexed
2177. Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management · 2022 · Bemposta Rosende, Sergio et al. · archived
2178. Driving Behavior Modelling with Graph Attention Networks ↗ · 2026 · Salunke, Omkar · indexed
2179. Facial landmark detection based on an ensemble of local weighted regressors during real driving situation ↗ · 2016 · Jeong, Mira et al. · indexed
2180. Research on human-vehicle gesture interaction technology based on computer visionbility ↗ · 2022 · Guo, He et al. · indexed
2181. Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art ↗ · 2020 · Janai, Joel et al. · indexed
2182. Driver pose estimation with 3D Time-of-Flight sensor ↗ · 2009 · Demirdjian, David et al. · indexed
2183. Using Vision Transformers for Spatial-Context-Aware Rain and Road Surface Condition Detection on Freeways ↗ · 2022 · Abdelraouf, Amr et al. · indexed
2184. A New Approach for Train Driver Tracking in Real Time ↗ · 2018 · WANG, Ming-yu et al. · indexed
2185. Driver Facial Expression Detection Based on Deep Learning ↗ · 2023 · Chen, Guanhong et al. · indexed
2186. Research on Improved YOLOv8 Algorithm for Non Safe Driving Behavior Monitoring ↗ · 2025 · Hao, Chenyu et al. · indexed
2187. Pareto optimized neural architecture search framework for edge based driver distraction detection ↗ · 2026 · Lala Bouali, Yassamine et al. · indexed
2188. Intelligent Driver Support Systems: Pedestrian Detection Using HOG Algorithm ↗ · 2016 · Chung, Ming-Hsuan et al. · indexed
2189. Federated Semi-Supervised Driver Behavior Classification ↗ · 2023 · De Guzman, Darren et al. · indexed
2190. Unmanned aerial vehicles for human detection and recognition using neural-network model · 2024 · Abbas, Yawar et al. · archived
2191. TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models ↗ · 2022 · Triest, Samuel et al. · indexed
2192. Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car ↗ · 2017 · Bojarski, Mariusz et al. · indexed
2193. Trust, Interruption, and Workload in Multi-AUV Control: Part 2 – Image Classification and Human-AI Benchmarking ↗ · 2025 · Taylor, John R. et al. · indexed
2194. A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents ↗ · 2023 · Ahmed, Mohammed Imran Basheer et al. · indexed
2195. Real-Time Multimodal Driver Risk Assessment Through Integrated Facial, Physiological, and Vehicular Data Fusion Using Hybrid Deep Learning Architectures ↗ · 2025 · Kumar, Arnav et al. · indexed
2196. Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes ↗ · 2023 · Wen, Qiang et al. · indexed
2197. Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction ↗ · 2019 · Zaarane, Abdelmoghit et al. · indexed
2198. Sign, Attend and Tell: Spatial Attention for Sign Language Recognition ↗ · 2021 · Sarhan, Noha et al. · indexed
2199. Action Recognition Framework in Traffic Scene for Autonomous Driving System ↗ · 2021 · Xu, Feiyi et al. · indexed
2200. View Independent Vehicle Make, Model and Color Recognition Using\n Convolutional Neural Network ↗ · 2017 · Dehghan, Afshin et al. · indexed
2201. Feature Extraction of Driver in Traffic Image Based on Wavelet Critical Threshold Denoising Method ↗ · 2019 · Qian, Xiao et al. · indexed
2202. Multi-lane line detection algorithm based on feature point instance segmentation · 2026 · Song, Shiping et al. · archived
2203. A Comprehensive Review: Analysis of Machine Learning, Deep Learning, and Large Language Model Techniques for Revolutionizing Driver Identification ↗ · 2024 · Sohail, Anwar Mehmood et al. · indexed
2204. A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition ↗ · 2017 · Tafazzoli, Faezeh et al. · indexed
2205. Intelligent Edge-Based System for Driver Drowsiness Monitoring in Mobile Crowd-sourcing Environments ↗ · 2024 · Neels Ponkumar, D. David et al. · indexed
2206. Robust Multimodal and Multi-Object Tracking for Autonomous Driving Applications · 2023 · Perez, Marc et al. · archived
2207. Recognition of Car Makes and Models From a Single Traffic-Camera Image ↗ · 2015 · He, Hongsheng et al. · indexed
2208. Fast Multiclass Vehicle Detection on Aerial Images · 2015 · Liu, Kang et al. · archived
2209. Multi-scale Data Fusion and Machine Learning for Vehicle Manoeuvre Classification ↗ · 2023 · Barua, Arnab et al. · indexed
2210. A Comprehensive Survey of Deep Learning Multisensor Fusion-based 3D Object Detection for Autonomous Driving: Methods, Challenges, Open Issues, and Future Directions ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
2211. Integrated neural network framework for multi-object detection and recognition using UAV imagery · 2025 · Alshehri, Mohammed et al. · archived
2212. Counting Empty Parking Spots at Truck Stops Using Computer Vision · 2011 · Modi, Pushkar et al. · archived
2213. A Traffic Surveillance System in Real-Time to Detect and Classify Vehicles by Using Convolutional Neural Network ↗ · 2019 · AL OKAISHI, WAHBAN et al. · indexed
2214. A Novel Method for Road Anomaly Objects Detection in the Traffic Environment With Multi-Mechanism Fusion · 2024 · Ci, Wenyan et al. · archived
2215. Object Classification in a High-Level Sensor Data Fusion Architecture for Advanced Driver Assistance Systems ↗ · 2015 · Aeberhard, Michael et al. · indexed
2216. Improved object detection method for autonomous driving based on DETR · 2025 · Zhao, Huaqi et al. · archived
2217. Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios · 2021 · Vachmanus, Sirawich et al. · archived
2218. Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines ↗ · 2022 · Goberville, Nicholas A. et al. · indexed
2219. An unsupervised approach for traffic motion patterns extraction ↗ · 2020 · Moradi, Amin et al. · indexed
2220. A Comprehensive Survey of Deep Learning Multisensor Fusion-based 3D Object Detection for Autonomous Driving: Methods, Challenges, Open Issues, and Future Directions ↗ · 2022 · Alaba, Simegnew et al. · indexed
2221. A Boosted Multi-Task Model for Pedestrian Detection With Occlusion Handling ↗ · 2015 · Zhu, Chao et al. · indexed
2222. SynTrackThinking improves multimodal multi-object tracking for autonomous driving through frequency-aware fusion and temporal contrastive learning. · 2026 · Su, Z et al. · archived
2223. Driver Style Recognition Based on Vehicle Dynamic Data ↗ · 2024 · Benterki, Abdelmoudjib et al. · indexed
2224. Left behind occupant recognition in parked cars based on acceleration and pressure information using k-Nearest-Neighbor classification ↗ · 2010 · Fischer, Christian et al. · indexed
2225. Automated Driver Drowsiness Monitoring System ↗ · 2024 · Dr. B. Saroja Ph. D et al. · indexed
2226. Video Streaming Analytics for Traffic Monitoring Systems · 2018 · Amin, Muhammad Arslan et al. · archived
2227. Improved coordinate attention network for classification of dangerous driving behavior ↗ · 2025 · Ni, Wen et al. · indexed
2228. Multi-view 3D Object Detection Network for Autonomous Driving · 2017 · Chen, Xiaozhi et al. · archived
2229. Enhancing Road Safety: Analyzing Driver Behavior Through AI-Driven Monitoring Techniques ↗ · 2024 · Kumar, S. Senthil et al. · indexed
2230. A Deep Learning-Based Perception Algorithm Using 3D LiDAR for Autonomous Driving: Simultaneous Segmentation and Detection Network (SSADNet) ↗ · 2020 · Lee, Yongbeom et al. · indexed
2231. Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data · 2023 · Gomaa, Amr et al. · archived
2232. CNN based lane detection with instance segmentation in edge-cloud computing · 2020 · Wang, Wei et al. · archived
2233. End-to-End Autonomous Driving Through Dueling Double Deep Q-Network ↗ · 2021 · Peng, Baiyu et al. · indexed
2234. Diverse Complexity Measures for Dataset Curation in Self-Driving ↗ · 2021 · Sadat, Abbas et al. · indexed
2235. Real-time lane-vehicle detection and tracking system ↗ · 2016 · Guan, Huang et al. · indexed
2236. Are We Ready for Accurate and Unbiased Fine-Grained Vehicle Classification in Realistic Environments? ↗ · 2021 · Sanchez, Hector Corrales et al. · indexed
2237. AWS Integrated Machine Learning Architecture for Advanced Driver Assist System (ADAS) ↗ · 2025 · Adhikary, Shoumik et al. · indexed
2238. Emotion estimation model for cognitive state analysis of learners in online education using deep learning ↗ · 2023 · Mahendar, Maragoni et al. · indexed
2239. Lane-GAN: A Robust Lane Detection Network for Driver Assistance System in High Speed and Complex Road Conditions ↗ · 2022 · Liu, Yan et al. · indexed
2240. The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration · 2024 · Greer, Ross et al. · archived
2241. Spotted hyena optimizer with deep learning enabled vehicle counting and classification model for intelligent transportation systems ↗ · 2023 · Alohali, Manal Abdullah et al. · indexed
2242. Vision-Based Vehicle Detection System With Consideration of the Detecting Location ↗ · 2012 · Cheon, Minkyu et al. · indexed
2243. A Lightweight Traffic Lights Detection and Recognition Method for Mobile Platform ↗ · 2023 · Wang, Xiaoyuan et al. · indexed
2244. Vehicle detection and tracking using Mean Shift segmentation on semi-dense disparity maps ↗ · 2012 · Lefebvre, Sebastien et al. · indexed
2245. Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes · 2015 · Yebes, J. et al. · archived
2246. Insights of semantic segmentation using the DeepLab architecture for autonomous driving ↗ · 2025 · Subhedar, Javed et al. · indexed
2247. Network traffic classification model based on attention mechanism and spatiotemporal features · 2023 · Hu, Feifei et al. · archived
2248. Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression ↗ · 2025 · Baris, Gabriele et al. · indexed
2249. A Hierarchical Scheme for Vehicle Make and Model Recognition From Frontal Images of Vehicles ↗ · 2018 · Lu, Lei et al. · indexed
2250. Enhancing the Safety of Autonomous Vehicles: Semi-Supervised Anomaly Detection With Overhead Fisheye Perspective ↗ · 2024 · Tsiktsiris, Dimitris et al. · indexed
2251. Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms ↗ · 2021 · Bachute, Mrinal et al. · indexed
2252. PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving · 2021 · Xiao, Pengchuan et al. · archived
2253. Novel Method for Vehicle and Pedestrian Detection Based on Information Fusion · 2013 · García, Fernando et al. · archived
2254. Wide Range Head Pose Estimation Using a Single RGB Camera for Intelligent Surveillance ↗ · 2022 · Rahmaniar, Wahyu et al. · indexed
2255. Assessment of sustained attention and distraction in children using a classroom analogue task ↗ · 1984 · Prinz, Ronald J. et al. · indexed
2256. Fine-Grained Vehicle Model Recognition Using A Coarse-to-Fine Convolutional Neural Network Architecture ↗ · 2016 · Fang, Jie et al. · indexed
2257. Efficient Deep Learning Methods for Detecting Road Accidents by Analyzing Traffic Accident Images ↗ · 2024 · Sherimon, P. C. et al. · indexed
2258. Knowledge-enhanced multi-task learning traffic incident detection model based on social media data ↗ · 2025 · Zheng, ZHOU et al. · indexed
2259. Pedestrian Detection with Unsupervised Multi-stage Feature Learning ↗ · 2013 · Sermanet, Pierre et al. · indexed
2260. Deep Learning-Based Image 3-D Object Detection for Autonomous Driving: Review ↗ · 2023 · Alaba, Simegnew Yihunie et al. · indexed
2261. Vehicle Counting using Deep Learning Models: A Comparative Study · 2020 · Abdullah, Azizi et al. · archived
2262. Language-Driven Active Learning for Diverse Open-Set 3D Object Detection · 2025 · Greer, Ross et al. · archived
2263. Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras · 2024 · Andersen, Mathias Viborg et al. · archived
2264. Novelty Detection in Autonomous Driving: A Generative Multi-Modal Sensor Fusion Approach ↗ · 2025 · Iqbal, Hafsa et al. · indexed
2265. Object detection for automotive radar point clouds – a comparison · 2021 · Scheiner, Nicolas et al. · archived
2266. EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery · 2021 · Azimi, Seyed Majid et al. · archived
2267. Dynamic Occlusion-Predictive Neural Network for Robust Roadside Multi-Vehicle Tracking. ↗ · 2026 · Wang, S et al. · indexed
2268. Deep Learning-based Image 3D Object Detection for Autonomous Driving: Review ↗ · 2022 · Alaba, Simegnew et al. · indexed
2269. Joint 3D Proposal Generation and Object Detection from View Aggregation ↗ · 2018 · Ku, Jason S. et al. · indexed
2270. Intersection User Class Detection Using UAV Images and YOLO-Based Algorithms in Smart Cities ↗ · 2025 · Doğan, Erdem et al. · indexed
2271. Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm ↗ · 2022 · Khalifa, Othman O. et al. · indexed
2272. Research and Implementation of the Key Technology of the Intelligent Vehicle Occupant Monitoring System ↗ · 2025 · Shi, Jian et al. · indexed
2273. TraffiPrompt: Network-Aware Multimodal Prompt Learning with Motion-Aware Temporal Modeling for Driving Video Anomaly Detection ↗ · 2026 · Gao, Ruifeng et al. · indexed
2274. Vehicle detection and tracking by collaborative fusion between laser scanner and camera ↗ · 2013 · Gruyer, Dominique et al. · indexed
2275. Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning · 2024 · Zhang, Sheng et al. · archived
2276. Poisoning and Evasion Attacks Against Deep Learning Algorithms in Autonomous Vehicles ↗ · 2020 · Jiang, Wenbo et al. · indexed
2277. Dynamic Multi-LiDAR Based Multiple Object Detection and Tracking ↗ · 2019 · Sualeh, Muhammad et al. · indexed
2278. Vision based obstacle avoidance and recognition system ↗ · 2015 · Verma, Nishchal K. et al. · indexed
2279. Object Tracking and Geo-Localization from Street Images ↗ · 2022 · Wilson, Daniel et al. · indexed
2280. IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation ↗ · 2024 · Bisogni, Carmen et al. · indexed
2281. ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery · 2019 · Azimi, Seyed Majid · archived
2282. A variational approach to simultaneous multi-object tracking and classification ↗ · 2015 · Romero-Cano, Victor et al. · indexed
2283. Enhanced Driver Drowsiness Detection Using Deep Learning: Comparative Analysis of CNN Architectures for Video-Based Monitoring Systems ↗ · 2025 · Sai, Ramesh Bhuvan et al. · indexed
2284. A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification ↗ · 2024 · Arthur, Elizabeth et al. · indexed
2285. Depth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection · 2024 · Wang, Chuyao et al. · archived
2286. BSGNet: Vehicle Detection in UAV Imagery of Construction Scenes via Biomimetic Edge Awareness and Global Receptive Field Modeling ↗ · 2026 · Wang, YongWei et al. · indexed
2287. A Survey of Robust 3D Object Detection Methods in Point Clouds · 2022 · Zimmer, Walter et al. · archived
2288. Vehicle Color Recognition using Convolutional Neural Network ↗ · 2015 · Rachmadi, Reza Fuad et al. · indexed
2289. Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning · 2024 · Zhang, Sheng et al. · archived
2290. Shadow detection and removal for traffic sequences ↗ · 2016 · Aqel, Siham et al. · indexed
2291. SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios · 2023 · Gomaa, Amr et al. · archived
2292. Adversarial Examples that Fool Detectors ↗ · 2017 · Lu, Jiajun et al. · indexed
2293. Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network · 2021 · Azimi, Seyed Majid et al. · archived
2294. Burn-In Demonstrations for Multi-Modal Imitation Learning · 2018 · Kuefler, Alex et al. · archived
2295. Semantic Vehicle Segmentation in Very High Resolution Multispectral Aerial Images Using Deep Neural Networks ↗ · 2019 · Merkle, Nina et al. · indexed
2296. Sitting posture detection and recognition of aircraft passengers using machine learning ↗ · 2021 · Cun, Wenzhe et al. · indexed
2297. Frequency Channel Attention guided U-Net for Video Dehazing ↗ · 2026 · Dasgupta, Madhuchhanda et al. · indexed
2298. Automated Road Crack Detection Using Deep Convolutional Neural Networks ↗ · 2018 · Mandal, Vishal et al. · indexed
2299. On GPGPU parallel implementation of hands and arms motion estimation of a car driver with depth image sensor by particle filter ↗ · 2014 · Ikoma, Norikazu · indexed
2300. The impact of colour visual attention for video summarization ↗ · 2023 · Qian, Yiming · indexed
2301. Pothole Detection using Smartphone: A Driver Assistant ↗ · 2023 · Kumar, Deepak et al. · indexed
2302. Carriageway Edge Detection for Unmarked Urban Roads using Deep Learning Techniques ↗ · 2023 · Vasudha E et al. · indexed
2303. A Relation-Aware Multi-Driver Pipeline for Interpretable Low-Frequency Load Disaggregation Under Partial Observability ↗ · 2026 · Tolnai, Balázs András et al. · indexed
2304. MHS-VIT: Mamba hybrid self-attention vision transformers for traffic image detection. ↗ · 2025 · Zhang, Xude et al. · indexed
2305. Traffic video surveillance: Background modeling and shadow elimination ↗ · 2016 · Aqel, Siham et al. · indexed
2306. Implementation of an Edge-Computing Vision System on Reduced-Board Computers Embedded in UAVs for Intelligent Traffic Management · 2023 · Bemposta Rosende, Sergio et al. · archived
2307. Support Vector Machine for classify dynamic human/vehicle shapes ↗ · 2008 · Razali, M.T. et al. · indexed
2308. PIXOR: Real-time 3D Object Detection from Point Clouds · 2018 · Yang, Bin et al. · archived
2309. Classification of the Sidewalk Condition Using Self-Supervised Transfer Learning for Wheelchair Safety Driving ↗ · 2022 · Yoon, Ha-Yeong et al. · indexed
2310. Deep Neural Network-based Approach to Identifying Road Lanes ↗ · 2022 · Abadleh, Ahmad et al. · indexed
2311. Addressing practical challenge of using autopilot drone for asphalt surface monitoring: Road detection, segmentation, and following ↗ · 2023 · Ranjbar, Hormazd et al. · indexed
2312. F-ROADNET: Late Fusion-Based Automotive Radar Object Detection ↗ · 2023 · Sikander, Gulbadan et al. · indexed
2313. Predicting Taxi Demand Based on 3D Convolutional Neural Network and Multi-task Learning ↗ · 2019 · Kuang, Li et al. · indexed
2314. Siamese PointNet: 3D Head Pose Estimation with Local Feature Descriptor ↗ · 2023 · Wang, Qi et al. · indexed
2315. Three combination value of extraction features on GLCM for detecting pothole and asphalt road ↗ · 2021 · Arbawa, Yoke Kusuma et al. · indexed
2316. YOLOv5-based Vehicle Objects Detection Using UAV Images ↗ · 2022 · Duman, Zeynep Nur et al. · indexed
2317. SilhouetteTell: Practical Video Identification Leveraging Blurred Recordings of Video Subtitles ↗ · 2026 · Huang, Guanchong et al. · indexed
2318. Drowsiness Alert System for Safe Driving ↗ · 2025 · Nukulla, Anantha Lakshmi · indexed
2319. DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+ ↗ · 2024 · Peng, Hongming et al. · indexed
2320. SoK: Multi-Perspective-Video-Anonymization ↗ · 2026 · Amar, Islam et al. · indexed
2321. Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection ↗ · 2024 · Aljohani, Abeer · indexed
2322. Detecting Cyber-Physical Threats in an Autonomous Robotic Vehicle Using Bayesian Networks ↗ · 2017 · Bezemskij, Anatolij et al. · indexed
2323. A Real-Time Car Towing Management System Using ML-Powered Automatic Number Plate Recognition ↗ · 2021 · Ahmed, Ahmed Abdelmoamen et al. · indexed
2324. GPGPU Implementation for Steering Hands Tracking of a Car Driver by Particle Filter with Depth Image Sensor ↗ · 2013 · Ikoma, Norikazu · indexed
2325. 3D object proposals for accurate object class detection ↗ · 2015 · Chen, Xiaozhi et al. · indexed
2326. UTILIZING COMPUTER VISION AND MACHINE LEARNING FOR TRAFFIC MONITORING AND ANALYSIS IN REAL-TIME VIDEO SURVEILLANCE SYSTEM ↗ · 2025 · Abdulrahaman Albarrak · indexed
2327. 3D object proposals for accurate object class detection ↗ · 2015 · Chen, Xiaozhi et al. · indexed
2328. Augmenting Deep Learning Performance in an Evidential Multiple Classifier System · 2019 · Vandoni, Jennifer et al. · archived
2329. DroNet: Efficient convolutional neural network detector for real-time UAV applications · 2018 · Kyrkou, Christos et al. · archived
2330. Low-resolution driver face recognition based on super-resolution and triplet loss ↗ · 2025 · Zhang, Zhi et al. · indexed
2331. LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads ↗ · 2024 · Tang, Pei et al. · indexed
2332. A New Method of Target Detection Based on Autonomous Radar and Camera Data Fusion ↗ · 2017 · Bi, Xin et al. · indexed
2333. Interpretable Explanations of Black Boxes by Meaningful Perturbation ↗ · 2017 · Fong, Ruth C. et al. · indexed
2334. Crowd intelligent cooperative obstacle avoidance method inspired by brain attention mechanism ↗ · 2022 · XIANG, Yuming et al. · indexed
2335. An improved deep learning architecture for multi-object tracking systems · 2023 · Urdiales, Jesús et al. · archived
2336. An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars ↗ · 2025 · Ren, Pengyu et al. · indexed
2337. Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection ↗ · 2024 · Alaba, Simegnew Yihunie et al. · indexed
2338. Adversarial Attacks on Monocular Depth Estimation ↗ · 2020 · Zhang, Ziqi et al. · indexed
2339. Multi-sensor fusion 3D object detection for autonomous driving ↗ · 2023 · Alaba, Simegnew et al. · indexed
2340. A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
2341. Interpretable explanations of black boxes by meaningful perturbation ↗ · 2017 · Vedaldi, A et al. · indexed
2342. SECOND: Sparsely Embedded Convolutional Detection ↗ · 2018 · Yan, Yan et al. · indexed
2343. ZOO ↗ · 2017 · Chen, Pin-Yu et al. · indexed
2344. EA-UNET: An Enhanced and Efficient Model for Left-Turn Lane ↗ · 2026 · Wang, Haowei et al. · indexed
2345. Road damage detection with bounding box and generative adversarial networks based augmentation methods ↗ · 2023 · Aghayan‐Mashhady, Nima et al. · indexed
2346. Effect of Gaussian filtered images on Mask RCNN in detection and segmentation of potholes in smart cities ↗ · 2022 · Mubarak, Auwalu Saleh et al. · indexed
2347. Localisation in 3D Images Using Cross-features Correlation Learning ↗ · 2022 · Almahasneh, Majedaldein I. · indexed
2348. Multiple Drone Navigation and Formation Using Selective Target Tracking-Based Computer Vision ↗ · 2021 · Upadhyay, Jatin et al. · indexed
2349. Automated Multi-Class Structural Damage Detection and Segmentation for Unmanned Aerial Vehicle-Based Infrastructure Inspection Using Deep Learning ↗ · 2026 · Abtahi, Seyed Farhad · indexed
2350. Joint Deep Learning for Pedestrian Detection ↗ · 2013 · Ouyang, Wanli et al. · indexed
2351. WCNN3D: Wavelet Convolutional Neural Network-Based 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
2352. VideoDP: A Flexible Platform for Video Analytics with Differential Privacy ↗ · 2020 · Wang, Han et al. · indexed
2353. Classification of Road Damage Using Supervised Learning to Assist Visual Assessment of Road Damage ↗ · 2022 · Al Haqi, Novindra Nurrosyid et al. · indexed
2354. Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving ↗ · 2024 · Alaba, Simegnew Yihunie et al. · indexed
2355. ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation (AF) with Deep Visual Attention ↗ · 2019 · Mousavi, Sajad · indexed
2356. Parallax attention stereo matching network based on the improved group-wise correlation stereo network ↗ · 2022 · Yu, Xuefei et al. · indexed
2357. Malicious UAV detection using various modalities ↗ · 2024 · Dafrallah, Safaa et al. · indexed
2358. Real Time Vehicle Detection and Counting for Traffic Management System ↗ · 2024 · Adhithya, Naghul · indexed
2359. Robust Fine-Grained Pest Classification via Boundary-Aware Attention and Growth-Stage Supervision ↗ · 2026 · Liu, Xinliang et al. · indexed
2360. Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps ↗ · 2022 · Yang, Yucheng et al. · indexed
2361. Face Recognition System for Prevention of Car Theft with Haar Cascade and Local Binary Pattern Histogram using Raspberry Pi ↗ · 2020 · Abdurrahman, Muhammad Hanif et al. · indexed
2362. Leveraging Pre-trained Deep Learning Models for Remote Sensing Image Classification: A Case Study with ResNet50 and EfficientNet ↗ · 2024 · Bobba, Srivani · indexed
2363. Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks · 2018 · Henry, Corentin et al. · archived
2364. Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles ↗ · 2024 · Alfeqy, Loay et al. · indexed
2365. Multimodal News Article Analysis ↗ · 2017 · Ramisa, Arnau · indexed
2366. WCNN3D: Wavelet Convolutional Neural Network Based 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew et al. · indexed
2367. Multi-scale attention-enhanced thermal infrared imaging for obstacle depth estimation in open-pit mines ↗ · 2026 · ZHANG, Ziyu et al. · indexed
2368. MTGCL: Multi-Task Graph Contrastive Learning for Identifying Cancer Driver Genes from Multi-omics Data ↗ · 2023 · Xie, Ming-Yu et al. · indexed
2369. Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control ↗ · 2021 · Ge, Hongwei et al. · indexed
2370. Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism ↗ · 2023 · Peng, Wei et al. · indexed
2371. Scalable Emotion Recognition Model with Context Information for Driver Monitoring System ↗ · 2024 · Colaco, Savina Jassica et al. · indexed
2372. Small Scale Multi-Object Segmentation in Mid-Infrared Image Using the Image Timing Features–Gaussian Mixture Model and Convolutional-UNet ↗ · 2025 · Lv, Meng et al. · indexed
2373. Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks ↗ · 2022 · Alotaibi, Saud S. et al. · indexed
2374. Feature Extraction for Moving Targets Based on the Statistical Characteristics of Echo Amplitude with the L-Band Fully Polarimetric Radar ↗ · 2022 · Zhang, Chuang et al. · indexed
2375. Novel learning framework for optimal multi-object video trajectory tracking ↗ · 2023 · Chen, Siyuan et al. · indexed
2376. A SPACE-TIME DELAY NEURAL NETWORK FOR MOTION RECOGNITION AND ITS APPLICATION TO LIPREADING ↗ · 1999 · LIN, CHIN-TENG et al. · indexed
2377. Hybrid Intelligence in Image Segmentation: Weaving Context and Detail with High Fidelity using Attention-Enhanced ViT-CNNs ↗ · 2025 · Hamsa M Ahmed · indexed
2378. The Classification of Farming Progress in Rice–Wheat Rotation Fields Based on UAV RGB Images and the Regional Mean Model ↗ · 2022 · Song, Xiaoxin et al. · indexed
2379. A deep learning based stereo matching model for autonomous vehicle · 2023 · Deepa, Deepa et al. · archived
2380. Adversarial Attacks for Image Segmentation on Multiple Lightweight Models ↗ · 2020 · Kang, Xu et al. · indexed
2381. Black-box Adversarial Machine Learning Attack on Network Traffic Classification ↗ · 2019 · Usama, Muhammad et al. · indexed
2382. Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses ↗ · 2025 · Sano, Keisuke et al. · indexed
2383. Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally Collected Data Sets ↗ · 2025 · Kyem, Blessing Agyei et al. · indexed
2384. Evaluating the Performance and Behavior of CNN, LSTM, and GRU for Classification and Prediction Tasks ↗ · 2024 · Abdullah, Hasanen S. et al. · indexed
2385. Optimizing polymorphic tomato picking detection: improved YOLOv8n architecture to tackle data under complex environments ↗ · 2026 · Li, Qiang et al. · indexed
2386. İnsansız Hava Araçlarıyla Hareketli Nesnelerin Tespit ve Takibi Detection and Tracking of Moving Objects with Unmanned Aerial Vehicles ↗ · 2022 · ELMAS, Elif Ece et al. · indexed
2387. Iraqi Kurdistan Vehicle License Plate Recognition System based on Client-server Network ↗ · 2017 · Wady, Shakhawan et al. · indexed
2388. Pedestrian Orientation Estimation Using CNN and Depth Camera ↗ · 2020 · Abughalieh, Karam et al. · indexed
2389. Real-time multi-network based identification with dynamic selection implemented for a low cost UAV ↗ · 2007 · Puttige, Vishwas R. et al. · indexed
2390. Few-Shot network intrusion detection based on prototypical capsule network with attention mechanism ↗ · 2023 · Sun, Handi et al. · indexed
2391. Learning to Classify: A Flow-Based Relation Network for Encrypted Traffic Classification ↗ · 2020 · Zheng, Wenbo et al. · indexed
2392. Compilation of training datasets for use of convolutional neural networks supporting automatic inspection processes in industry 4.0 based electronic manufacturing ↗ · 2020 · Schwebig, A. I. M. et al. · indexed
2393. QUIC Network Traffic Classification Using Ensemble Machine Learning Techniques ↗ · 2023 · Almuhammadi, Sultan et al. · indexed
2394. Clustering Cloud-Like Model-Based Targets Underwater Tracking for AUVs ↗ · 2019 · Sheng, Mingwei et al. · indexed
2395. Residual Network with Attention to Neural Cells Segmentation ↗ · 2023 · Abbas, Rabab Farhan et al. · indexed
2396. D-Alarm: An Efficient Driver Drowsiness Detection and Alarming System ↗ · 2023 · Borah, Biju et al. · indexed
2397. Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM ↗ · 2025 · Yavtukhovskyi, Vladyslav et al. · indexed
2398. Enhancing Image Recognition: Leveraging Machine Learning on Specialized Medical Datasets ↗ · 2023 · Agarwal, Nidhi et al. · indexed
2399. An Adversarial Environment Reinforcement Learning-driven Intrusion Detection Algorithm for Internet of Things ↗ · 2023 · Mahjoub, Chahira et al. · indexed
2400. Long Short-Term Memory and Synthetic Minority Over Sampling Technique-Based Network Traffic Classification ↗ · 2024 · Munaye, Yirga Yayeh et al. · indexed
2401. A Deep Learning Harmonization of Multi-Vendor MRI for Robust Intervertebral Disc Segmentation ↗ · 2024 · Kim, Chaewoo et al. · indexed
2402. Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors ↗ · 2022 · El-Melegy, Moumen et al. · indexed
2403. CA-Adv: Curvature-Adaptive Weighted Adversarial 3D Point Cloud Generation Method for Remote Sensing Scenarios ↗ · 2026 · Sun, Yanwen et al. · indexed