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.

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

1. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
2. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
3. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al. · archived
4. Detecting driver distraction · 2018 · Liang, Yulan · archived
5. Driver distraction detection and recognition using RGB-D sensor · 2015 · Craye, Celine et al. · archived
6. A Comprehensive Review of Driver’s Attention and the Evaluation Methods · 2021 · Abbasi, Elahe et al. · archived
7. Classification of Human Driver Distraction Using 3D Convolutional Neural Networks ↗ · 2023 · Kwakye, Kelvin et al. · indexed
8. Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach · 2023 · Yang, Haohan et al. · archived
9. Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks ↗ · 2010 · Ersal, Tulga et al. · indexed
10. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
11. Recognition of Manual Driving Distraction Through Deep-Learning and Wearable Sensing · 2019 · Li, Li et al. · archived
12. Multimodal Detection of Driver Distraction · 2017 · Eskenazi, Maxine et al. · archived
13. Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms ↗ · 2010 · Fabio, Tango et al. · indexed
14. Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang · archived
15. A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition · 2020 · Fasanmade, Adebamigbe et al. · archived
16. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
17. Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving · 2016 · Zhang, Yu et al. · archived
18. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · Miller, Marty et al. · archived
19. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
20. (Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework · 2023 · Greer, Ross et al. · archived
21. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
22. Real-time monitoring of driver distraction: State-of-the-art and future insights · 2023 · Michelaraki, Eva et al. · archived
23. ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection · 2024 · Ma, Yunsheng et al. · archived
24. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
25. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
26. DistractNet: a deep convolutional neural network architecture for distracted driver classification · 2022 · Nasri, Ismail et al. · archived
27. Distracted driving detection by sensing the hand gripping of the phone ↗ · 2021 · Wang, Ruxin et al. · indexed
28. Assessment of Secondary Tasks Based on Drivers’ Eye-Movement Features · 2020 · Yao, Ying et al. · archived
29. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
30. Driver Distraction Detection Methods: A Literature Review and Framework · 2021 · Kashevnik, Alexey et al. · archived
31. DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al. · indexed
32. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
33. Text and Voice Message Distraction Detection: A Machine Learning Approach Using Vehicle Trajectory Data ↗ · 2024 · Taherpour, Abolfazl et al. · indexed
34. SPIDER 2.0: Driver Distraction and Visual Attention · 2025 · Strayer, David L. · archived
35. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
36. Using Naturalistic Driving Performance Data to Develop an Empirically Defined Model of Distracted Driving · 2016 · Bingham, C. Raymond et al. · archived
37. Fast Detection of Handheld Phone-Distracted Driving by Sensing the Driver's Hand-Grip ↗ · 2024 · Wang, Ruxin et al. · indexed
38. Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al. · indexed
39. Preventing Handheld Phone Distraction for Drivers by Sensing the Gripping Hand · 2021 · Wang, Ruxin et al. · archived
40. Context-Aware Driver Distraction Severity Classification using LSTM Network ↗ · 2019 · Fasanmade, Adebamigbe et al. · indexed
41. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
42. Texting and Driving Recognition leveraging the Front Camera of Smartphones · 2023 · Montori, Federico et al. · archived
43. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
44. Exploring Naturalistic Driving Data for Distracted Driving Measures · 2017 · Ishak, Sherif S. et al. · archived
45. Review of real-time visual driver distraction detection algorithms ↗ · 2010 · Ahlström, Christer et al. · indexed
46. Modeling Driver Distraction from Cognitive Tasks ↗ · 2019 · Salvucci, Dario D. · indexed
47. Distraction Assessment Methods Based on Visual Behavior and Event Detection ↗ · 2008 · Victor, Trent et al. · indexed
48. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
49. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
50. Driver Activity Classification Using Generalizable Representations from Vision-Language Models · 2024 · Greer, Ross et al. · archived
51. Driver Distraction Detection Using Artificial Intelligence and Smart Devices · 2024 · Papatheocharous, Efi et al. · archived
52. Defining Driver Distraction · 2008 · Lee, John et al. · archived
53. 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
54. Cognitive Distraction: Something to Think About · 2013 · AAA Foundation for Traffic Safety · archived
55. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
56. Enhancing Driver Distraction Recognition Using Generative Adversarial Networks ↗ · 2020 · Ou, Chaojie et al. · indexed
57. Towards Operationalizing Driver Distraction · 2013 · Foley, James P et al. · archived
58. 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
59. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
60. Assessing Different Methods for Detection of Distracted Driving ↗ · 2023 · Woods, Amber N. et al. · indexed
61. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
62. Frequency of distracting tasks people do while driving : an analysis of the ACAS FOT data. · 2007 · Oberholtzer, Jessica et al. · archived
63. Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review ↗ · 2023 · Papatheocharous, Efi et al. · indexed
64. Driver distraction : a review of the literature ↗ · 2007 · Kircher, Katja · indexed
65. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
66. Is the Technology in Your Car Driving You to Distraction? · 2015 · Strayer, David L. · archived
67. Video-Based Driver’s Hand Tracking using Fast Normalized Cross Coefficient with Improved Computational Efficiency ↗ · 2019 · Li, Li et al. · indexed
68. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
69. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
70. 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
71. 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
72. Driver Distraction in Commercial Motor Vehicle Operations · 2017 · Hanowski, Richard J. et al. · archived
73. 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
74. Driver Distractions In Commercial Vehicle Operations · 2009 · Olson, Rebecca L. et al. · archived
75. Real time distracted driver detection using Xception architecture and Raspberry Pi · 2024 · Narayanan, Uma et al. · archived
76. EVALUATION OF DRIVER DISTRACTION USING AN EVENT DETECTION PARADIGM ↗ · 2003 · Greenberg, Jeff et al. · indexed
77. Real time distracted driver detection using Xception architecture and Raspberry Pi ↗ · 2024 · Narayanan, Uma et al. · indexed
78. Real-Time Driving Distraction Recognition Through a Wrist-Mounted Accelerometer ↗ · 2022 · Xie, Ziyang et al. · indexed
79. Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control · 2016 · Schmitt, Felix et al. · archived
80. 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
81. An Observational Evaluation of Safety and Operations Resulting From Driver Distraction · 2015 · Romoser, Matthew R. E. et al. · archived
82. Driver State and Behavior Detection Through Smart Wearables · 2021 · Tavakoli, Arash et al. · archived
83. 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
84. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
85. Driver Distraction in Commercial Vehicle Operations · 2009 · Olson, R.L. et al. · archived
86. Detecting Driver Distraction · 2018 · Eskenazi, Maxine et al. · archived
87. Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review ↗ · 2024 · Fu, Shichen et al. · indexed
88. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update · 2024 · Wright, Timothy J. et al. · archived
89. Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis · 2020 · Khattak, Asad J. et al. · archived
90. Driver Distraction: A Naturalistic Observation of Secondary Behaviors With the Use of Driver Assistance Systems · 2005 · Sayer, James R et al. · archived
91. Driver Distraction in Commercial Vehicle Operations (TechBrief) · 2009 · NHTSA · archived
92. Understanding driver distraction associated with specific behavioural interactions with in-vehicle and portable technologies · 2017 · Imberger, K · archived
93. Detecting driver distraction using stimuli-response EEG analysis · 2019 · Bajwa, Garima et al. · archived
94. Driver Distraction Assessment Using Driver Modeling ↗ · 2013 · Hermannstadter, Peter et al. · indexed
95. Prevalence and distribution of young driver distraction errors in naturalistic driving · 2014 · Carney, Cher et al. · archived
96. Distracted Driving: Strategies and State of the Practices · 2019 · Mitran, Elisabeta et al. · archived
97. Behavioral Research and Practical Models of Drivers' Attention · 2021 · Kotseruba, Iuliia et al. · archived
98. Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities · 2024 · Usman, Sheikh Muhammad et al. · archived
99. A Simulation Approach for Evaluating the Relative Safety Impact of Driver Distraction during Secondary Tasks ↗ · 2005 · Smith, David L. et al. · indexed
100. Investigating Problem of Distracted Drivers on Louisiana Roadways · 2018 · Sun, Xiaoduan et al. · archived
101. Driver Distraction: Eye Glance Analysis and Conversation Workload · 2015 · Hickman, Jeffrey S. et al. · archived
102. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
103. Event Detection: The Second Dimension of Driver Performance for Visual-Manual Tasks ↗ · 2012 · Young, Richard A. · indexed
104. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
105. Prevalence and Distribution of Young Driver Distraction Errors in Naturalistic Driving · 2014 · Carney, Cher et al. · archived
106. Driver Distraction Injury Prevention Countermeasures‚ÄîPart 2 · 2008 · Regan, Michael et al. · archived
107. Investigating the Impact of Distracted Driving among Different Socio-Demographic Groups · 2019 · Jeihani, Mansoureh et al. · archived
108. Secondary Behavior of Drivers on Cell Phones ↗ · 2015 · Farmer, Charles M. et al. · indexed
109. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
110. The prevalence of and crash risk associated with primarily cognitive secondary tasks ↗ · 2019 · Dingus, Thomas A. et al. · indexed
111. Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network ↗ · 2020 · Baheti, Bhakti et al. · indexed
112. The Relative Risks of Secondary Task Induced Driver Distraction ↗ · 2008 · Dingus, Thomas A. et al. · indexed
113. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
114. Distracted driving and associated crash risks. · 2014 · Ishak, Sherif et al. · archived
115. Driver Distraction in NHTSA Databases · 2010 · Ascone, Debra · archived
116. Driver Distraction: Eye Glance Analysis and Conversation Workload [Research Brief] · 2015 · NHTSA · archived
117. Driver Gaze Tracking and Eyes Off the Road Detection System ↗ · 2015 · Vicente, Francisco et al. · indexed
118. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al. · archived
119. Measuring the Effects of Driver Distraction · 2008 · Young, Kristie et al. · archived
120. Driver Distraction: Evaluation with Event Detection Paradigm ↗ · 2003 · Greenberg, Jeff et al. · indexed
121. Sensor-based assessment of the in-situ quality of human computer interaction in the cars : final research report. · 2016 · Kim, SeungJun et al. · archived
122. The impact of road traffic context on secondary task engagement while driving · 2023 · Cuentas-Hernandez, Sandra et al. · archived
123. Distracted driving and associated crash risks : tech summary. · 2014 · NHTSA · archived
124. Driver strategies for engaging in distracting tasks using in-vehicle technologies · 2008 · Lerner, Neil et al. · archived
125. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles · 2021 · Hammond, Rebecca L. et al. · archived
126. Distractive Tasks and the Influence of Driver Attributes ↗ · 2021 · Soares, Sónia et al. · indexed
127. Eye Glance Analysis of the Surrogate Tests for Driver Distraction · 2015 · Hsieh, Li et al. · archived
128. Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance ↗ · 2018 · Gillmeier, Katharina et al. · indexed
129. Drivers Glance Like Lizards during Cell Phone Distraction in Assisted Driving ↗ · 2021 · Yang, Shiyan et al. · indexed
130. Detection of Driving Distractions and Their Impacts ↗ · 2023 · Shajari, Arian et al. · indexed
131. Systematic Review of Research on Driver Distraction in the Context of Advanced Driver Assistance Systems ↗ · 2021 · Pradhan, Anuj K. · indexed
132. Defining Driver Distraction ↗ · 2005 · Pettitt, Michael et al. · indexed
133. Distracted Driving Among Newly Licensed Teen Drivers · 2012 · AAA Foundation for Traffic Safety · archived
134. The Effects of Visual and Cognitive Distraction on Driver Situation Awareness · 2011 · Rogers, Meghan L. et al. · archived
135. A Multi-Camera Deep Neural Network for Detecting Elevated Alertness in Drivers · 2018 · Gideon, John et al. · archived
136. Cell-Phone–Induced Driver Distraction · 2007 · Strayer, David L. et al. · archived
137. Research Framework for Studying Driver Distraction on Polish City Highways · 2013 · Kelwyn A. D’Souza et al. · archived
138. Secondary Task Engagement During Automated Drives: Friend and Foe? ↗ · 2020 · Shupsky, Taylor et al. · indexed
139. Naturalistic Driving Performance During Secondary Tasks · 2007 · Sayer, James et al. · archived
140. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
141. Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets · 2022 · Miao, Hanwen et al. · archived
142. On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions · 2023 · Ebel, Patrick et al. · archived
143. Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation ↗ · 2025 · Ng, Shu-Kay et al. · indexed
144. Measuring driver distraction – Evaluation of the box task method as a tool for assessing in-vehicle system demand ↗ · 2020 · Morgenstern, Tina et al. · indexed
145. Educating the Public About Distracted Driving and Evaluating Distraction-Prevention Technologies · 2022 · Jeihani, Mansoureh et al. · archived
146. 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
147. The Role of Driver Distraction in Traffic Crashes · 2001 · Stutts, Jane C. et al. · archived
148. The role of driver distraction in traffic crashes · 2001 · Stutts, Jane C. et al. · archived
149. On the Philosophical Foundations of the Distracted Driver and Driving Distraction ↗ · 2008 · Hancock, Peter A. et al. · indexed
150. The multitasking motorist and the attention economy · 2021 · Strayer, DL et al. · archived
151. Assessing cognitive distraction in the automobile · 2015 · Strayer, DL et al. · archived
152. Exploratory Advanced Research Program : Video Analytics Research Projects · 2015 · NHTSA · archived
153. Investigation of distracted driving activities at highway-rail grade crossings (HRGC). · 2013 · Khattak, Aemal et al. · archived
154. Countermeasures That Work – Distracted Driving [Traffic Tech] · 2021 · Blenner, J A · archived
155. Caltrans UAS and Driver Safety: Driver Distraction in the Presence of UAS · 2024 · Akhavian, Reza et al. · archived
156. Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab · 2025 · Kujala, Tuomo et al. · archived
157. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles [Research Brief] · 2021 · NHTSA · archived
158. Distraction and Drowsiness in Motorcoach Drivers · 2016 · Hammond, Rebecca, L. et al. · archived
159. Individual Differences in Glance Patterns under Distraction in Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
160. Effects of a Computer-Based Training Module on Drivers’ Willingness to Engage in Distracting Activities ↗ · 2009 · Horrey, William J. et al. · indexed
161. Development of the Enhanced Peripheral Detection Task: A Surrogate Test for Driver Distraction ↗ · 2012 · Hsieh, Li et al. · indexed
162. Camera-Based Driver Monitoring System for Abnormal Behavior Detection · 2020 · Aljaafreh, Ahmad · archived
163. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior ↗ · 2013 · Ahlstrom, Christer et al. · indexed
164. A driver-distraction-based lane-keeping assistance system · 2007 · Pohl, Jochen et al. · archived
165. Automated video feature extraction : workshop summary report October 10-11 2012. · 2012 · Morton, Tom · archived
166. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
167. Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS · 2012 · Gil-Jiménez, Pedro et al. · archived
168. 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
169. Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload · 2017 · Lee, Joonbum et al. · archived
170. Educating Younger Drivers in the Pacific Northwest Regarding the Dangers of Distracted Driving (Phase II) · 2015 · Hurwitz, David et al. · archived
171. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
172. Effects of Secondary Task Demands on Drivers’ Responses to Events During Driving: Surrogate Methods and Issues · 2007 · Angell, Linda S · archived
173. Assessing the Ghanaian driver's susceptibility to distraction engagement · 2025 · Sam, Enoch F. · archived
174. Driving context influences drivers' decision to engage in visual–manual · 2015 · Tivesten, Emma et al. · archived
175. Using Driver Simulators to Measure the Impact of Distracted Driving on Commercial Motor Vehicle Operators · 2015 · Tarr, Ronald W. et al. · archived
176. Assessing the Effects of In-Vehicle Tasks on Driving Performance ↗ · 2011 · Horrey, William J. · indexed
177. Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance ↗ · 2021 · Yang, Shiyan et al. · indexed
178. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
179. Assessment of Truck Driver Distraction Problem and Research Needs · 2005 · Llaneras, Robert E. et al. · archived
180. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
181. 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
182. Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach ↗ · 2014 · Pinotti, Daniele et al. · indexed
183. A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding · 2023 · Sharma, Pavan Kumar et al. · archived
184. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
185. Effects of Voice Technology on Test Track Driving Performance: Implications for Driver Distraction ↗ · 2005 · Ranney, Thomas A. et al. · indexed
186. Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data · 2020 · Bálint, András et al. · archived
187. Video based detection of driver fatigue ↗ · 2009 · Vural, Esra · indexed
188. Visual Monitoring of Driver Inattention · 2008 · Bergasa, Luis M. et al. · archived
189. Exploring naturalistic driving data for distracted driving measures : [research project capsule]. · 2015 · Ishak, Sherif · archived
190. Distracted Driving: It is not always a choice · 2016 · Hunter, Michael P. et al. · archived
191. Investigating the correspondence between driver head position and glance location · 2018 · Lee, Joonbum et al. · archived
192. Educating Teenage Drivers in the Pacific Northwest Regarding the Dangers of Distracted Driving (Phase I) · 2014 · Hurwitz, David S. et al. · archived
193. Detection and controlling of drivers' visual focus of attention ↗ · 2017 · Debnath, Partha Pratim et al. · indexed
194. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
195. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
196. How do distracted and normal driving differ : an analysis of the ACAS naturalistic driving data · 2007 · Green, Paul E. et al. · archived
197. Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering Task Type · 2022 · He, Dengbo et al. · archived
198. Driver Distraction in Commercial Vehicle Operations · 2010 · Olson, Rebecca L. et al. · archived
199. 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
200. An examination of driver distraction as recorded in NHTSA databases · 2009 · Ascone, Debra et al. · archived
201. Behavioral Effects of Driver Distraction and Alcohol Impairment ↗ · 2005 · Rakauskas, Michael et al. · indexed
202. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
203. 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
204. Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems ↗ · 2020 · Noble, Alexandria M. et al. · indexed
205. Driver distraction · 2018 · Neyens, David Michael · archived
206. A Surrogate Test for Cognitive Demand: Tactile Detection Response Task (TDRT) ↗ · 2015 · Hsieh, Li et al. · indexed
207. Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al. · archived
208. 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
209. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
210. Using Driver Simulators to Measure the Impact of Distracted Driving on Commercial Motor Vehicle Operators [Research Brief] · 2015 · NHTSA · archived
211. The Effects of Distraction on Anticipatory Driving · 2018 · He, Dengbo et al. · archived
212. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
213. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
214. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
215. Exploration of Contributing Factors of Different Distracted Driving Behaviors · 2019 · Shi, Jing et al. · archived
216. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data · 2021 · Rangesh, Akshay et al. · archived
217. Driver inattention and highway safety · 1985 · Sussman, E. D. et al. · archived
218. How Facial Features Convey Attention in Stationary Environments · 2022 · Domantay, Janelle et al. · archived
219. Multivariate Statistical Analysis of Public Transit Bus Driver Distraction ↗ · 2012 · D'Souza, Kelwyn et al. · indexed
220. How Do Automation Modes Influence the Frequency of Advanced Driver Distraction Warnings? A Simulator Study ↗ · 2023 · Koniakowsky, Ina Marie et al. · indexed
221. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
222. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction ↗ · 2015 · Ameyoe, Ablamvi et al. · indexed
223. A Taxonomy of Strategies For Supporting Time-Sharing With Non-Driving Tasks in Automated Driving · 2019 · He, Dengbo et al. · archived
224. A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al. · archived
225. Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network ↗ · 2021 · Ansari, Shahzeb et al. · indexed
226. A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones ↗ · 2019 · Chan, Teck Kai et al. · indexed
227. Assessing the effects of in-vehicle tasks on driving performance ↗ · 2012 · Horrey, William J. · indexed
228. A Research Framework for Studying Transit Bus Driver Distraction · 2013 · D’Souza, Kelwyn A. et al. · archived
229. 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
230. Evaluation of Cognitive Distraction in a Real Vehicle Based on the Reflex Eye Movement · 2018 · Son, Le Anh et al. · archived
231. Automotive Collision Avoidance System Field Operational Test · 2005 · Llaneras, Robert E. et al. · archived
232. Technology Transfer: Distracted Driving, Overview Summary of Ways to Alleviate · 2017 · Peters, Robert et al. · archived
233. The effects of commercial electronic variable message signs (CEVMS) on driver attention and distraction : an update · 2009 · Molino, John A. et al. · archived
234. The effects of age on crash risk associated with driver distraction ↗ · 2016 · Guo, Feng et al. · indexed
235. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update [Traffic Tech] · 2024 · NHTSA · archived
236. Distraction in Commercial Trucks and Buses: Assessing Prevalence and Risk in Conjunction with Crashes and Near-Crashes [Tech Brief] · 2010 · NHTSA · archived
237. Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving · 2018 · Oviedo-Trespalacios, Óscar · archived
238. Validating two assessment strategies for visual and cognitive load in a simulated driving task ↗ · 2016 · Castro, S et al. · indexed
239. Distracted Driving and Associated Crash Risks : Research Project Capsule · 2012 · NHTSA · archived
240. Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al. · archived
241. Older driver distraction: A naturalistic study of behaviour at intersections ↗ · 2013 · Charlton, Judith L. et al. · indexed
242. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
243. Distracted Driving Enforcement Demonstrations: Lessons Learned · 2020 · Lemaster-Sandbank, Liza et al. · archived
244. Effectiveness of Distracted Driving Countermeasures: A Review of the Literature · 2019 · AAA Foundation for Traffic Safety · archived
245. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning ↗ · 2021 · Kulhandjian, Hovannes · indexed
246. 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
247. Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research ↗ · 2020 · Lobo, António et al. · indexed
248. Crash Studies of Driver Distraction ↗ · 2008 · Gordon, Craig · indexed
249. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
250. Are child occupants a significant source of driving distraction? ↗ · 2011 · Koppel, Sjaan et al. · indexed
251. Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [Research Brief] · 2023 · Khattak, Asad J. · archived
252. Factors related to drivers' perception of interference from in-vehicle activities ↗ · 2010 · Horrey, William J. et al. · indexed
253. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
254. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
255. Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation · 2021 · Rangesh, Akshay et al. · archived
256. U33: Impact of Distraction and Health on Commercial Driving Performance Final Report · 2012 · Fine, Philip Russ et al. · archived
257. Driver Cognitive Load Classification Based on Physiological Data—Case Study 7 · 2021 · He, Dengbo et al. · archived
258. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
259. Mining patterns of near-crash events with and without secondary tasks ↗ · 2021 · Das, Subasish · indexed
260. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
261. The role of self-regulation in the context of driver distraction: A simulator study ↗ · 2016 · Wandtner, Bernhard et al. · indexed
262. Considerations for the development of a driver distraction safety rating system for new vehicles · 2020 · Imberger, K · archived
263. Driver Inattention Detection based on Eye Gaze—Road Event Correlation ↗ · 2009 · Fletcher, Luke et al. · indexed
264. Measuring Distraction: Task Duration and the Lane-Change Test (LCT) ↗ · 2005 · Burns, Peter C. et al. · indexed
265. How do Environmental Factors Affect Drivers' Gaze and Head Movements? · 2021 · Tavakoli, Arash et al. · archived
266. Distraction and Drowsiness in Motorcoach Drivers: Research Brief · 2016 · NHTSA · archived
267. 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
268. Role of Habits in Cell Phone-Related Driver Distractions · 2020 · Hansma, Braden Joseph et al. · archived
269. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction · 2023 · He, Dengbo et al. · archived
270. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
271. Hazard perception performance and psychological factors of distracted drivers: what are the associations? ↗ · 2024 · Watling, Christopher N. et al. · indexed
272. National Survey on Distracted Driving Attitudes and Behaviors -- 2012 · 2013 · Schroeder, Paul et al. · archived
273. Signal-Adaptive and Uninhibited Driver Distraction During Crosswalk Approach: Evidence from the SHRP2 Naturalistic Driving Study ↗ · 2026 · Douglas, Grace et al. · indexed
274. Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: Issues and possibilities ↗ · 2010 · Tran, Cuong et al. · indexed
275. Inattention and distraction in fatal road crashes – Results from in-depth crash investigations in Norway ↗ · 2019 · Sundfør, Hanne Beate et al. · indexed
276. Leading to distraction: Driver distraction, lead car, and road environment ↗ · 2016 · Kountouriotis, Georgios K. et al. · indexed
277. Effect of human–machine interface infotainment systems and automated vehicles on driver distraction ↗ · 2024 · Abbasi, Elahe et al. · indexed
278. Understanding the Psychological Factors Underlying Smartphone Related Distracted Driving: Exploratory Analysis Using a Nationwide Survey · 2018 · Konduri, Karthik et al. · archived
279. Detecting Driver Drowsiness With Multi-Sensor Data Fusion Combined With Machine Learning · 2021 · Kulhandjian, Hovannes · archived
280. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
281. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
282. 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
283. An Assessment of Commercial Motor Vehicle Driver Distraction Using Naturalistic Driving Data ↗ · 2012 · Hickman, Jeffrey S. et al. · indexed
284. Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods ↗ · 2019 · Lindow, Friedrich et al. · indexed
285. What Can Be Predicted from Six Seconds of Driver Glances? · 2017 · Fridman, Lex et al. · archived
286. 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
287. Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS · 2024 · Hasan, Aamir et al. · archived
288. Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification ↗ · 2020 · Barua, Shaibal et al. · indexed
289. Frequency and severity of in-vehicle distractions:A self-report survey ↗ · 2009 · Lansdown, Terry C. · indexed
290. Brain activity during driving with distraction: an immersive fMRI study ↗ · 2013 · Schweizer, Tom A. et al. · indexed
291. The Effects of Voice Technology on Test Track Driving Performance: Implications for Driver Distraction ↗ · 2002 · Ranney, Thomas A. et al. · indexed
292. Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers ↗ · 2014 · Klauer, Sheila G. et al. · indexed
293. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al. · indexed
294. 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
295. Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator ↗ · 2018 · Koohestani, Afsaneh et al. · indexed
296. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation · 2023 · Regan, Michael A. et al. · archived
297. Driver behavioural classification from trajectory data ↗ · 2005 · Rigolli, Marco et al. · indexed
298. Commercial motor vehicle driving performance: An examination of attentional resources and control using a driving simulator. ↗ · 2017 · McManus, Benjamin et al. · indexed
299. Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features ↗ · 2023 · Albadawi, Yaman et al. · indexed
300. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
301. Visual-Manual Driver Distraction Guidelines Test Procedures – Task Acceptance Testing Occlusion and Eye Glance Measurement Using Driving Simulator Testing · 2019 · NHTSA · archived
302. Driver distraction and fatigue detection in images using ME‐YOLOv8 algorithm ↗ · 2024 · Debsi, Ali et al. · indexed
303. 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
304. Distraction and Inattention Countermeasure Technologies ↗ · 2011 · Victor, Trent · indexed
305. Night Vision - Reduced Driver Distraction, Improved Safety and Satisfaction · 2009 · Fuchs, Klaus et al. · archived
306. Attention maintenance training: Are young drivers getting better or being more strategic? ↗ · 2019 · Unverricht, James et al. · indexed
307. Passenger-Driver Distinguishing Test for Pokémon Go · 2017 · Khanade, Kunal et al. · archived
308. Determining driver perceptions about distractions and modeling their effects on driving behavior at different age groups ↗ · 2022 · Gazder, Uneb et al. · indexed
309. A Multimodal Approach for Monitoring Driving Behavior and Emotions ↗ · 2020 · Tavakoli, Arash et al. · indexed
310. Driving Distractions Perceptions among Young Drivers in an Urban Area of Shah Alam · 2022 · Kamaluddin, Noor Azreena et al. · archived
311. Classification of Driver Cognitive Load based on Physiological Data: Exploring Recurrent Neural Networks · 2022 · Kumar, Shekhar et al. · archived
312. A survey on driver behavior detection techniques for intelligent transportation systems ↗ · 2017 · Chhabra, Rishu et al. · indexed
313. Countermeasures for Distracted Driving: An Exploration Beyond the Scientific Literature · 2024 · AAA Foundation for Traffic Safety · archived
314. Low-distraction Interaction · 2019 · Lane, Ian et al. · archived
315. Effects of practice, age, and task demands, on interference from a phone task while driving · 2004 · Shinar, David et al. · archived
316. The Effects of a Scheduled Driver Engagement Strategy in Automated Driving ↗ · 2015 · Blommer, Mike et al. · indexed
317. Educating Idaho Teenage Drivers of the Dangers of Distracted Driving · 2017 · Larrea, Meagan et al. · archived
318. The Critical Tracking Task ↗ · 2013 · Petzoldt, Tibor et al. · indexed
319. 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
320. National Survey on Distracted Driving Attitudes and Behaviors - 2015 · 2018 · Schroeder, Paul et al. · archived
321. National Telephone Survey on Distracted Driving Attitudes and Behaviors – 2012 [Traffic Tech] · 2013 · NHTSA · archived
322. 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
323. Distracted Driving in Teens with and without ADHD · 2010 · Stavrinos, Despina · archived
324. In-vehicle driver distractions: characteristics underlying drivers’ risk perceptions ↗ · 2009 · Titchener, Kirsteen et al. · indexed
325. Impact des situations d'attention partagée sur le traitement de l'information chez les conducteurs novices ↗ · 2010 · Hamama, H. · indexed
326. Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach · 2014 · Čolić, Aleksandar et al. · archived
327. Quantifying Drowsy Driving [Traffic Safety Facts Research Note] · 2020 · NHTSA · archived
328. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data · 2020 · Pakdamanian, Erfan et al. · archived
329. Deep Learning Based Real-Time Driver Emotion Monitoring ↗ · 2018 · Verma, Bindu et al. · indexed
330. Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al. · archived
331. Classifying Drivers' Cognitive Load Using EEG Signals ↗ · 2017 · Barua Shaibal et al. · indexed
332. 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
333. Evaluation of NHTSA Distracted Driving Demonstration Projects in Connecticut and New York · 2012 · Chaudhary, Neil K. et al. · archived
334. Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al. · archived
335. A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving · 2023 · Capallera, Marine et al. · archived
336. Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach · 2025 · Hassan, Osama F. et al. · archived
337. Driving distracted with friends: Effect of passengers and driver distraction on young drivers’ behavior ↗ · 2019 · Zhang, Fangda et al. · indexed
338. Effect of Using Mobile Phones on Driver’s Control Behavior Based on Naturalistic Driving Data · 2019 · Zhang, Lanfang et al. · archived
339. Cocktail Party Effect& Attention Capture in Semi-Autonomous Driving · 2013 · Tobias, Crystal et al. · archived
340. Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety ↗ · 2025 · Das, Subasish et al. · indexed
341. Development of a Camera-Based Driver State Monitoring System for Cost-Effective Embedded Solution ↗ · 2020 · Zhou, Xunfei et al. · indexed
342. Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiography and Eye Tracking · 2024 · Shi, Wenxin et al. · archived
343. The influence of attention distraction on the drivers’ behaviour · 2018 · Gąsiorek, Kamila et al. · archived
344. Secondary Tasks and Autonomous Vehicles ↗ · 2019 · Jones, Vanessa et al. · indexed
345. Driving performance analysis of the ACAS FOT data and recommendations for a driving workload manager. · 2006 · Eoh, Hong et al. · archived
346. Cognitive workload using interactive voice messaging systems ↗ · 2016 · Coleman, JR et al. · indexed
347. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation · 2019 · Fridman, Lex et al. · archived
348. A Survey on State-of-the-Art Drowsiness Detection Techniques · 2019 · Ramzan, Muhammad et al. · archived
349. Driver Behavior Classification: A Systematic Literature Review · 2023 · Bouhsissin, Soukaina et al. · archived
350. NeuroSafeDrive: An Intelligent System Using fNIRS for Driver Distraction Recognition ↗ · 2025 · Bargshady, Ghazal et al. · indexed
351. 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
352. D<sup>3</sup>: Abnormal driving behaviors detection and identification using smartphone sensors ↗ · 2015 · Chen, Zhongyang et al. · indexed
353. Keep Your Eyes on the Road: Young Driver Crash Risk Increases According to Duration of Distraction ↗ · 2014 · Simons-Morton, Bruce G. et al. · indexed
354. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
355. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
356. An Investigation of Peer Influences on Risky Child and Adolescent Pedestrian Road Crossing: Final Report · 2016 · Plumert, Jodie M. et al. · archived
357. Drowsiness and distraction while driving: A study based on smartphone app data ↗ · 2020 · Soares, Sónia et al. · indexed
358. Distracted and Risk-Prone Drivers · 2013 · AAA Foundation for Traffic Safety · archived
359. Developing a car gesture interface for use as a secondary task ↗ · 2003 · Alpern, Micah et al. · indexed
360. Strategies for reducing driver distraction from in-vehicle telematics devices : a discussion document · 2003 · Transport Canada, Road Safety and Motor Vehicle Regulations Directorate · archived
361. Assessment of Driver Monitoring Systems for Alcohol Impairment Detection and Level 2 Automation · 2024 · Prendez, David M et al. · archived
362. Enhanced Multi-Class Driver Behavior Detection in IoMT Environments Using Hybrid LSTM-GRU Model ↗ · 2025 · AlSalman, Hussain · indexed
363. Speech Feedback Reduces Driver Distraction Caused by In-vehicle Visual Interfaces ↗ · 2016 · Larsson, Pontus · indexed
364. Government and Industry Perspectives on Driver Distraction ↗ · 2008 · Tingvall, Claes et al. · indexed
365. Realtime Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Al Redhaei, Aneesa et al. · indexed
366. Driving Maneuvers Recognition and Classification Using A Hyprid Pattern Matching and Machine Learning · 2023 · Al-Din, Munaf Salim Najim · archived
367. 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
368. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
369. Advances in Human-Machine Systems for In-Vehicle Environments: Noise and Cognitive Stress/Distraction ↗ · 2011 · Hansen, John H.L. et al. · indexed
370. Evaluating driver distraction countermeasures ↗ · 2005 · Karlsson, Rikard · indexed
371. A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data ↗ · 2019 · Zhang, Jun et al. · indexed
372. Effects of roadside distractors on performance of drivers with and without attention deficit tendencies ↗ · 2018 · Shaw, F. Atiyya et al. · indexed
373. Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al. · archived
374. Factors Related to Drivers' Self-Reported Willingness to Engage in Distracting In-Vehicle Activities ↗ · 2008 · Horrey, William J. et al. · indexed
375. A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors ↗ · 2020 · Li, Pei et al. · indexed
376. 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
377. From Scene to Object: Text-Guided Dual-Gaze Prediction · 2026 · Ke, Zehong et al. · archived
378. Attitudes and behaviors related to distracted driving in college students: a need for interventions in adolescence ↗ · 2017 · Basch, Corey H. et al. · indexed
379. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
380. Evaluation of NHTSA Distracted Driving High-Visibility Enforcement Demonstration Projects in California and Delaware · 2015 · Chaudhary, Neil K. et al. · archived
381. Driver distraction and inattention in the USA large truck and national motor vehicle crash causation studies ↗ · 2009 · Craft, R et al. · indexed
382. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
383. Driver Distraction ↗ · 2014 · Bengler, Klaus · indexed
384. Driving fingerprinting enhances drowsy driving detection: Tailoring to individual driver characteristics ↗ · 2024 · Sun, Yifan et al. · indexed
385. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions · 2010 · Flores, MarcoJavier et al. · archived
386. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
387. An Evaluation of the Effectiveness of Voice-to-Text Programs at Reducing Incidences of Distracted Driving · 2013 · Yager, Christine · archived
388. Electronic Device Use: A Review of the Literature on Addictive Behaviors · 2023 · Hoekstra-Atwood, Liberty et al. · archived
389. Behavioral Transportation: The Role of Psychological, Cognitive, and Social Factors in Distracted Driving Behavior ↗ · 2023 · Gabaldon, Janeth · indexed
390. National Phone Survey on Distracted Driving Attitudes and Behaviors · 2011 · Tison, Julie et al. · archived
391. Investigating the Effect of Drivers’ Body Motion on Traffic Safety · 2015 · Barmpoutis, Angelos et al. · archived
392. Unsupervised Patterns of Driver Mental Fatigue State Based on Head Posture Using Gaussian Mixture Model ↗ · 2020 · Ansari, Shahzeb et al. · indexed
393. European NCAP Program Developments to Address Driver Distraction, Drowsiness and Sudden Sickness ↗ · 2021 · Fredriksson, Rikard et al. · indexed
394. Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review ↗ · 2024 · al-qaysi, ziadoon · indexed
395. Cell phone-related driver distraction: Habits predict behavior over and above the theory of planned behavior variables ↗ · 2023 · Demir, Basar et al. · indexed
396. Cellular Phones and Driver Distraction ↗ · 2008 · Strayer, David L. et al. · indexed
397. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
398. Engagement in Non-Driving Related Tasks as a Non-Intrusive Measure for Mode Awareness: A Simulator Study ↗ · 2020 · Forster, Yannick et al. · indexed
399. The impact of an adaptive user interface on reducing driver distraction ↗ · 2011 · Tchankue, Patrick et al. · indexed
400. Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers ↗ · 2020 · Yang, Guangchuan et al. · indexed
401. 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
402. 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
403. A Deep Neural Network for Real-Time Driver Drowsiness Detection · 2019 · Toan H., VU et al. · archived
404. The Effects of Divided Attention and Cognitive Distraction on Driver’s Performance Among People Aged over 65 · 2017 · Heidari, Mahdi Ebnali et al. · archived
405. Examination of Limitations Associated with Observing Driver Distraction ↗ · 2014 · Wenners, Keith E. et al. · indexed
406. Smartphone sensing for understanding driving behavior: Current practice and challenges ↗ · 2020 · Mantouka, Eleni G. et al. · indexed
407. Scene-aware driver state understanding in car-following behaviors ↗ · 2017 · Xu, Donghao et al. · indexed
408. Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning ↗ · 2007 · McCall, J.C. et al. · indexed
409. Unobtrusive drowsiness detection by neural network learning of driver steering ↗ · 2001 · Sayed, R et al. · indexed
410. Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving ↗ · 2019 · Khandakar, Amith et al. · indexed
411. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
412. Roadside advertising and the distraction of driver’s attention · 2017 · Adam, Tarnowski et al. · archived
413. ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle · 2021 · Gomaa, Amr et al. · archived
414. DISTRACTED DRIVING IN OLDER ADULTS: PRACTICES AND ATTITUDES ↗ · 2017 · Hill, Linda et al. · indexed
415. Car Following and Microscopic Traffic Simulation Under Distracted Driving ↗ · 2021 · Zatmeh-Kanj, Sunbola et al. · indexed
416. Driver classification and driving style recognition using inertial sensors ↗ · 2013 · Van Ly, Minh et al. · indexed
417. Influence of Driver Distractions on the Likelihood of Rear-End, Angular, and Single-Vehicle Crashes in Missouri ↗ · 2009 · Ghazizadeh, Mahtab et al. · indexed
418. An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver · 2017 · Gupta, Rajat et al. · archived
419. A Stochastic Delay Differential Equation Model of Multitasking While Driving ↗ · 2026 · Trommler, Daniel et al. · indexed
420. Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysis ↗ · 2021 · Das, Subasish · indexed
421. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al. · indexed
422. Smartphone-Based Adaptive Driving Maneuver Detection: A Large-Scale Evaluation Study ↗ · 2017 · Castignani, German et al. · indexed
423. AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong · indexed
424. Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection ↗ · 2020 · Kundinger, Thomas et al. · indexed
425. Special issue on car navigation and vehicle systems · 2014 · Porikli, Fatih et al. · archived
426. Comparing datasets for generalizing models of driver intent in dynamic environments ↗ · 2016 · Driggs-Campbell, Katherine et al. · indexed
427. Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al. · archived
428. Vision-Based Traffic Conflict Detection of Signalized Intersections · 2018 · Sharma, Anuj · archived
429. Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning ↗ · 2023 · Arumugam, Subramanian et al. · indexed
430. DRIVING DISTRACTION DUE TO DRONES · 2018 · Hurwitz, David S. et al. · archived
431. Multimodal Features for Detection of Driver Stress and Fatigue: Review · 2020 · Němcová, Andrea et al. · archived
432. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
433. Contextual Analysis of Strategies and Interaction Motivations with Smartphones in Vehicles ↗ · 2016 · Quaresma, Manuela et al. · indexed
434. A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features · 2021 · Abbas, Qaisar et al. · archived
435. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al. · archived
436. Latent Psychological Data Structure of Secondary Driving Tasks ↗ · 2004 · Curry, Reates · indexed
437. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
438. National Survey of Distracted and Drowsy Driving Attitudes and Behavior: 2002: Volume 3: Methods · 2003 · Royal, Dawn · archived
439. Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures ↗ · 2022 · He, Dengbo et al. · indexed
440. Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al. · archived
441. 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
442. Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA · archived
443. Distracted Driving Behaviors and Beliefs among Older Adults ↗ · 2018 · Hill, Linda et al. · indexed
444. Recherche d’indicateurs électrodermaux pour l’analyse de la charge mentale en conduite automobile ↗ · 2009 · Clarion, Antoine · indexed
445. Drowsiness monitoring based on driver and driving data fusion · 2011 · Daza, Iván García et al. · archived
446. Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion · 2011 · Katz, Bryan et al. · archived
447. Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning · 2020 · Bichicchi, Arianna et al. · archived
448. Estimation of traffic sign visibility considering local and global features in a driving environment ↗ · 2014 · Doman, Keisuke et al. · indexed
449. A Driver Behavior Recognition Method Based on a Driver Model Framework ↗ · 2000 · Kuge, Nobuyuki et al. · indexed
450. Drivers’ self-regulatory behaviors in active and responsive scenarios ↗ · 2023 · Zhang, Yaping et al. · indexed
451. Driver behavior profiling: An investigation with different smartphone sensors and machine learning · 2017 · Ferreira, Jair et al. · archived
452. Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors ↗ · 2008 · Heo, Seongkook · indexed
453. 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
454. Distracted Motor Vehicle Driving at Highway–Rail Grade Crossings ↗ · 2015 · Tung, Li-Wei et al. · indexed
455. Comparisons of Machine Learning Algorithms for Driving Behavior Recognition Using In-Vehicle CAN Bus Data ↗ · 2019 · Chen, Wenhui et al. · indexed
456. 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
457. Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques · 2023 · Siam, Ali I. et al. · archived
458. An embedded intelligence engine for driver drowsiness detection ↗ · 2022 · Vadlamudi, Shirisha et al. · indexed
459. Mitigating Driver's Distraction: Automotive Head-Up Display and Gesture Recognition System · 2019 · Lagoo, Ramesh et al. · archived
460. Driver Emotion Recognition for Enhancement of Human Machine Interface in Vehicles ↗ · 2019 · Patil, Mrinalini et al. · indexed
461. Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness Detection ↗ · 2007 · Eskandarian, Azim et al. · indexed
462. Driving style recognition using a smartphone as a sensor platform ↗ · 2011 · Johnson, Derick A. et al. · indexed
463. Characterizing Technology's Influence on Distractive Behavior at Signalized Intersections · 2023 · Boni, Jobaidul Alam et al. · archived
464. Analysis of the Influence of Training Data on Road User Detection · 2018 · Guindel, Carlos et al. · archived
465. Young drivers and cellphone distraction: Pattern recognition from fatal crashes ↗ · 2022 · Das, Subasish · indexed
466. Driving Maneuver Classification: A Comparison of Feature Extraction Methods ↗ · 2017 · Xie, Jie et al. · indexed
467. Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation ↗ · 2010 · Perez, Antonio et al. · indexed
468. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
469. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety ↗ · 2023 · Safarov, Furkat et al. · indexed
470. The Naturalistic Study of Distracted Driving: Moving from Research to Practice ↗ · 2011 · Hanowski, Richard Joseph · indexed
471. Deciphering 140 Characters ↗ · 2014 · Roberts, Shannon C. et al. · indexed
472. 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
473. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
474. Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units. · 2019 · Narayanan, Athma et al. · archived
475. The Risk of a Safety-Critical Event Associated With Mobile Device Use in Specific Driving Contexts ↗ · 2014 · Fitch, Gregory M. et al. · indexed
476. Reducing Distracted Driving Among Adults: Child-to-Adult Interventions · 2022 · Fisher, D. L. et al. · archived
477. Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al. · archived
478. Steering Wheel Behavior Based Estimation of Fatigue ↗ · 2009 · Krajewski, Jarek et al. · indexed
479. Driver Distraction: A Perennial but Preventable Public Health Threat to Adolescents ↗ · 2014 · Bingham, C. Raymond · indexed
480. Dangerous driving behavior detection using video-extracted vehicle trajectory histograms ↗ · 2017 · Chen, Zhijun et al. · indexed
481. Survey Reveals Public Open to Ban on Hand-Held Cell Phone Use and Texting · 2013 · Guarino, Jenny · archived
482. Computer recognition of human emotions ↗ · 2002 · Li, H. · indexed
483. Extracting Sections of Simulated Driving Routes that Elicit Driving Responses Predictive of ADHD via Recursively Constructed Ensembles · 2022 · Grethlein, David · archived
484. Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods ↗ · 2020 · Lu, Danni et al. · indexed
485. Driver electronic device use in 2013. · 2015 · Pickrell, T.M. · archived
486. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
487. Cellphone-distracted crashes of novice teen drivers: Understanding associations of contributing factors for crash severity levels and cellphone usage types ↗ · 2022 · Das, Subasish · indexed
488. A Review of Recent Developments in Driver Drowsiness Detection Systems ↗ · 2022 · Albadawi, Yaman et al. · indexed
489. Prevalence of and Factors Associated with Distraction Among Public Transit Bus Drivers ↗ · 2014 · Griffin, Russell et al. · indexed
490. Dynamic Traffic Scene Classification with Space-Time Coherence · 2019 · Narayanan, Athma et al. · archived
491. Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context · 2023 · Greer, Ross et al. · archived
492. Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles · 2018 · Wang, Qi et al. · archived
493. Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data · 2020 · Narayanan, Athma et al. · archived
494. Automated Vehicle Recognition with Deep Convolutional Neural Networks · 2017 · Adu-Gyamfi, Yaw Okyere et al. · archived
495. A Progressive Review: Emerging Technologies for ADAS Driven Solutions ↗ · 2021 · Nidamanuri, Jaswanth et al. · indexed
496. Video-Based Abnormal Driving Behavior Detection via Deep Learning Fusions · 2019 · Huang, Wei et al. · archived
497. The Autonomous Recognition of Left Behind Passengers in Parked Vehicles ↗ · 2011 · Fischer, Christian et al. · indexed
498. On-road vehicle detection: a review ↗ · 2006 · Sun, Zehang et al. · indexed
499. Human Gesture Classification for Autonomous Driving Applications using Radars ↗ · 2020 · Ishak, Karim et al. · indexed
500. Detection and classification of vehicles for traffic video analytics ↗ · 2018 · Arinaldi, Ahmad et al. · indexed
501. A Real-Time Multi-scale Vehicle Detection and Tracking Approach for Smartphones · 2015 · Romera, Eduardo et al. · archived
502. It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera · 2023 · Gomaa, Amr et al. · archived
503. Traffic scene awareness for intelligent vehicles using ConvNets and stereo vision · 2019 · Guindel, Carlos et al. · archived
504. Detection of skin region from multiband near‐IR spectral characteristics ↗ · 2009 · Suzuki, Yasuhiro et al. · indexed
505. Deep Learning for Robust Vehicle Identification · 2022 · Ramajo Ballester, Álvaro et al. · archived
506. Vehicle Maneuver Detection with Accelerometer-Based Classification ↗ · 2016 · Cervantes-Villanueva, Javier et al. · indexed
507. Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al. · indexed
508. Practical object recognition in autonomous driving and beyond ↗ · 2011 · Teichman, Alex et al. · indexed
509. 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
510. Vehicle Detection and Tracking in Car Video Based on Motion Model ↗ · 2011 · Jazayeri, Amirali et al. · indexed
511. The German Traffic Sign Recognition Benchmark: A multi-class classification competition ↗ · 2011 · Stallkamp, Johannes et al. · indexed
512. Multimodal image fusion for enhanced vehicle identification in intelligent transport ↗ · 2025 · Mudawi, Naif Al et al. · indexed
513. Vehicle Ego-Trajectory Segmentation Using Guidance Cues ↗ · 2024 · Mihalea, Andrei et al. · indexed
514. Driving Style Classification Using a Semisupervised Support Vector Machine ↗ · 2017 · Wang, Wenshuo et al. · indexed
515. Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection ↗ · 2025 · Ghoreishi, Seyedeh Gol Ara et al. · indexed
516. A Survey on Visual Surveillance of Object Motion and Behaviors · 2004 · Hu, W. et al. · archived
517. Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction ↗ · 2019 · Zaarane, Abdelmoghit et al. · indexed
518. Fast Multiclass Vehicle Detection on Aerial Images · 2015 · Liu, Kang et al. · archived
519. Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes · 2015 · Yebes, J. et al. · archived
520. 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
521. Counting Empty Parking Spots at Truck Stops Using Computer Vision · 2011 · Modi, Pushkar et al. · archived
522. Object Classification in a High-Level Sensor Data Fusion Architecture for Advanced Driver Assistance Systems ↗ · 2015 · Aeberhard, Michael et al. · indexed
523. Unmanned aerial vehicles for human detection and recognition using neural-network model · 2024 · Abbas, Yawar et al. · archived
524. Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines ↗ · 2022 · Goberville, Nicholas A. et al. · indexed
525. Robust Multimodal and Multi-Object Tracking for Autonomous Driving Applications · 2023 · Perez, Marc et al. · archived
526. 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
527. SynTrackThinking improves multimodal multi-object tracking for autonomous driving through frequency-aware fusion and temporal contrastive learning. · 2026 · Su, Z et al. · archived
528. Left behind occupant recognition in parked cars based on acceleration and pressure information using k-Nearest-Neighbor classification ↗ · 2010 · Fischer, Christian et al. · indexed
529. Video Streaming Analytics for Traffic Monitoring Systems · 2018 · Amin, Muhammad Arslan et al. · archived
530. A Deep Learning-Based Perception Algorithm Using 3D LiDAR for Autonomous Driving: Simultaneous Segmentation and Detection Network (SSADNet) ↗ · 2020 · Lee, Yongbeom et al. · indexed
531. Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios · 2021 · Vachmanus, Sirawich et al. · archived
532. Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery · 2025 · Fónod, Róbert et al. · archived
533. Traffic sign recognition with multi-scale Convolutional Networks · 2011 · Sermanet, Pierre et al. · archived
534. Scalability in Perception for Autonomous Driving: Waymo Open Dataset · 2020 · Sun, Pei et al. · archived
535. Lane-GAN: A Robust Lane Detection Network for Driver Assistance System in High Speed and Complex Road Conditions ↗ · 2022 · Liu, Yan et al. · indexed
536. 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
537. Image based fog detection in vehicles · 2012 · Pavlic, Mario et al. · archived
538. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions · 2020 · Muhammad, Khan et al. · archived
539. Multi-view 3D Object Detection Network for Autonomous Driving · 2017 · Chen, Xiaozhi et al. · archived
540. Spotted hyena optimizer with deep learning enabled vehicle counting and classification model for intelligent transportation systems ↗ · 2023 · Alohali, Manal Abdullah et al. · indexed
541. Vision-Based Vehicle Detection System With Consideration of the Detecting Location ↗ · 2012 · Cheon, Minkyu et al. · indexed
542. A Lightweight Traffic Lights Detection and Recognition Method for Mobile Platform ↗ · 2023 · Wang, Xiaoyuan et al. · indexed
543. Vehicle detection and tracking using Mean Shift segmentation on semi-dense disparity maps ↗ · 2012 · Lefebvre, Sebastien et al. · indexed
544. Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression ↗ · 2025 · Baris, Gabriele et al. · indexed
545. Enhancing the Safety of Autonomous Vehicles: Semi-Supervised Anomaly Detection With Overhead Fisheye Perspective ↗ · 2024 · Tsiktsiris, Dimitris et al. · indexed
546. Yus - A Deep Learning Algorithm for Collision Avoidance through Object and Vehicle Detection · 2023 · Mohammad Sojon Beg et al. · archived
547. Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms ↗ · 2021 · Bachute, Mrinal et al. · indexed
548. Novel Method for Vehicle and Pedestrian Detection Based on Information Fusion · 2013 · García, Fernando et al. · archived
549. Urban Driving with Multi-Objective Deep Reinforcement Learning · 2019 · Li, Changjian et al. · archived
550. Deep Learning-Based Image 3-D Object Detection for Autonomous Driving: Review ↗ · 2023 · Alaba, Simegnew Yihunie et al. · indexed
551. Vehicle Counting using Deep Learning Models: A Comparative Study · 2020 · Abdullah, Azizi et al. · archived
552. Novelty Detection in Autonomous Driving: A Generative Multi-Modal Sensor Fusion Approach ↗ · 2025 · Iqbal, Hafsa et al. · indexed
553. EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery · 2021 · Azimi, Seyed Majid et al. · archived
554. CNN based lane detection with instance segmentation in edge-cloud computing · 2020 · Wang, Wei et al. · archived
555. Dynamic Occlusion-Predictive Neural Network for Robust Roadside Multi-Vehicle Tracking. ↗ · 2026 · Wang, S et al. · indexed
556. 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
557. Multi-lane line detection algorithm based on feature point instance segmentation · 2026 · Song, Shiping et al. · archived
558. Deep Learning-based Image 3D Object Detection for Autonomous Driving: Review ↗ · 2022 · Alaba, Simegnew et al. · indexed
559. Joint 3D Proposal Generation and Object Detection from View Aggregation ↗ · 2018 · Ku, Jason S. et al. · indexed
560. Dynamic Multi-LiDAR Based Multiple Object Detection and Tracking ↗ · 2019 · Sualeh, Muhammad et al. · indexed
561. Object Tracking and Geo-Localization from Street Images ↗ · 2022 · Wilson, Daniel et al. · indexed
562. Designing and Evaluating an Adaptive Virtual Reality System using EEG Frequencies to Balance Internal and External Attention States · 2024 · Chiossi, Francesco et al. · archived
563. ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery · 2019 · Azimi, Seyed Majid · archived
564. Object detection for automotive radar point clouds – a comparison · 2021 · Scheiner, Nicolas et al. · archived
565. A Survey of Robust 3D Object Detection Methods in Point Clouds · 2022 · Zimmer, Walter et al. · archived
566. BSGNet: Vehicle Detection in UAV Imagery of Construction Scenes via Biomimetic Edge Awareness and Global Receptive Field Modeling ↗ · 2026 · Wang, YongWei et al. · indexed
567. Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data · 2023 · Gomaa, Amr et al. · archived
568. DroNet: Efficient convolutional neural network detector for real-time UAV applications · 2018 · Kyrkou, Christos et al. · archived
569. Carriageway Edge Detection for Unmarked Urban Roads using Deep Learning Techniques ↗ · 2023 · Vasudha E et al. · indexed
570. MHS-VIT: Mamba hybrid self-attention vision transformers for traffic image detection. ↗ · 2025 · Zhang, Xude et al. · indexed
571. Addressing practical challenge of using autopilot drone for asphalt surface monitoring: Road detection, segmentation, and following ↗ · 2023 · Ranjbar, Hormazd et al. · indexed
572. PIXOR: Real-time 3D Object Detection from Point Clouds · 2018 · Yang, Bin et al. · archived
573. YOLOv5-based Vehicle Objects Detection Using UAV Images ↗ · 2022 · Duman, Zeynep Nur et al. · indexed
574. DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+ ↗ · 2024 · Peng, Hongming et al. · indexed
575. Dataset: Traffic Images Captured from UAVs for Use in Training Machine Vision Algorithms for Traffic Management · 2022 · Bemposta Rosende, Sergio et al. · archived
576. 3D object proposals for accurate object class detection ↗ · 2015 · Chen, Xiaozhi et al. · indexed
577. Language-Driven Active Learning for Diverse Open-Set 3D Object Detection · 2025 · Greer, Ross et al. · archived
578. 3D object proposals for accurate object class detection ↗ · 2015 · Chen, Xiaozhi et al. · indexed
579. Integrated neural network framework for multi-object detection and recognition using UAV imagery · 2025 · Alshehri, Mohammed et al. · archived
580. LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads ↗ · 2024 · Tang, Pei et al. · indexed
581. Network traffic classification model based on attention mechanism and spatiotemporal features · 2023 · Hu, Feifei et al. · archived
582. An Object Detection Algorithm for Orchard Vehicles Based on AGO-PointPillars ↗ · 2025 · Ren, Pengyu et al. · indexed
583. Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection ↗ · 2024 · Alaba, Simegnew Yihunie et al. · indexed
584. Multi-sensor fusion 3D object detection for autonomous driving ↗ · 2023 · Alaba, Simegnew et al. · indexed
585. A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
586. SECOND: Sparsely Embedded Convolutional Detection ↗ · 2018 · Yan, Yan et al. · indexed
587. EA-UNET: An Enhanced and Efficient Model for Left-Turn Lane ↗ · 2026 · Wang, Haowei et al. · indexed
588. Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving · 2019 · Wang, Yan et al. · archived
589. Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network · 2021 · Azimi, Seyed Majid et al. · archived
590. Localisation in 3D Images Using Cross-features Correlation Learning ↗ · 2022 · Almahasneh, Majedaldein I. · indexed
591. Burn-In Demonstrations for Multi-Modal Imitation Learning · 2018 · Kuefler, Alex et al. · archived
592. An improved deep learning architecture for multi-object tracking systems · 2023 · Urdiales, Jesús et al. · archived
593. WCNN3D: Wavelet Convolutional Neural Network-Based 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew Yihunie et al. · indexed
594. Depth-Enhanced Deep Learning Approach For Monocular Camera Based 3D Object Detection · 2024 · Wang, Chuyao et al. · archived
595. Improved object detection method for autonomous driving based on DETR · 2025 · Zhao, Huaqi et al. · archived
596. Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving ↗ · 2024 · Alaba, Simegnew Yihunie et al. · indexed
597. Leveraging Pre-trained Deep Learning Models for Remote Sensing Image Classification: A Case Study with ResNet50 and EfficientNet ↗ · 2024 · Bobba, Srivani · indexed
598. Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks · 2018 · Henry, Corentin et al. · archived
599. WCNN3D: Wavelet Convolutional Neural Network Based 3D Object Detection for Autonomous Driving ↗ · 2022 · Alaba, Simegnew et al. · indexed
600. Augmenting Deep Learning Performance in an Evidential Multiple Classifier System · 2019 · Vandoni, Jennifer et al. · archived
601. Swarm Intelligence with Deep Transfer Learning Driven Aerial Image Classification Model on UAV Networks ↗ · 2022 · Alotaibi, Saud S. et al. · indexed
602. Novel learning framework for optimal multi-object video trajectory tracking ↗ · 2023 · Chen, Siyuan et al. · indexed
603. 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
604. Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally Collected Data Sets ↗ · 2025 · Kyem, Blessing Agyei et al. · indexed
605. Rider Optimization With Deep Learning Based Image Encryption for Secure Drone Communication · 2023 · Raja, N. Kannaiya et al. · archived
606. Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning · 2024 · Zhang, Sheng et al. · archived