gaze based attention detection

Inferring driver attention state specifically from eye and gaze signals: gaze direction, fixation location, on-road vs off-road glance classification, eyes-on-road monitoring, and gaze-zone or attention-buffer models that decide whether the driver is looking where they should. Unlike drowsiness_detection_algorithms (which targets fatigue/sleepiness) and distraction_detection_algorithms (which uses any modality and targets distraction broadly), this is restricted to ocular/gaze tracking as the input signal for an attention judgment.

1297 paper(s) · ranked by relevance to this topic

1. A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding · 2023 · Sharma, Pavan Kumar et al. · archived
2. Behavioral Research and Practical Models of Drivers' Attention · 2021 · Kotseruba, Iuliia et al. · archived
3. 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
4. Driver Gaze Fixation and Pattern Analysis in Safety Critical Events ↗ · 2023 · Bhagat, Hirva et al. · indexed
5. Head pose-free eye gaze prediction for driver attention study ↗ · 2017 · Yafei Wang et al. · indexed
6. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
7. Driver Gaze Region Estimation without Use of Eye Movement ↗ · 2016 · Fridman, Lex et al. · indexed
8. Detection and controlling of drivers' visual focus of attention ↗ · 2017 · Debnath, Partha Pratim et al. · indexed
9. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · Miller, Marty et al. · archived
10. A Neural Network-Based Driver Gaze Classification System with Vehicle Signals ↗ · 2020 · Dari, Simone et al. · indexed
11. Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers ↗ · 2017 · Martin, Sujitha et al. · indexed
12. Eye Tracking in Driver Attention Research—How Gaze Data Interpretations Influence What We Learn ↗ · 2021 · Ahlström, Christer et al. · indexed
13. Gaze Zone Classification for Driving Studies Using YOLOv8 Image Classification ↗ · 2024 · Hermens, Frouke et al. · indexed
14. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
15. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
16. A comparison of glance coding approaches for driver attention assessment ↗ · 2024 · Kircher, Katja et al. · indexed
17. Driver gaze tracker using deformable template matching ↗ · 2011 · Wang, Wei et al. · indexed
18. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
19. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
20. Drivers use active gaze to monitor waypoints during automated driving · 2021 · Mole, Callum et al. · archived
21. Driver Inattention Detection based on Eye Gaze—Road Event Correlation ↗ · 2009 · Fletcher, Luke et al. · indexed
22. Enhancement of ADAS with Driver-Specific Gaze Profiling Algorithm—Pilot Case Study ↗ · 2025 · Gogola, Marián et al. · indexed
23. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
24. A Reference Model for Driver Attention in Automation: Glance Behavior Changes During Lateral and Longitudinal Assistance ↗ · 2019 · Morando, Alberto et al. · indexed
25. A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al. · indexed
26. Robust and continuous estimation of driver gaze zone by dynamic analysis of multiple face videos ↗ · 2014 · Tawari, Ashish et al. · indexed
27. Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking ↗ · 2024 · Hu, Zhongxu et al. · indexed
28. Detection method for driver's gaze direction based on improved VGG network ↗ · 2023 · Wang, Haowen et al. · indexed
29. Analyzing the relationship between head pose and gaze to model driver visual attention ↗ · 2016 · Jha, Sumit et al. · indexed
30. Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS · 2012 · Gil-Jiménez, Pedro et al. · archived
31. A Probabilistic Model for Visual Driver Gaze Approximation from Head Pose Estimation ↗ · 2020 · Shirpour, Mohsen et al. · indexed
32. What Can Be Predicted from Six Seconds of Driver Glances? · 2017 · Fridman, Lex et al. · archived
33. Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features ↗ · 2022 · Hu, Zhongxu et al. · indexed
34. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
35. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
36. Hybrid Steering Model depending on Driver's Gazing Point to detect inattentive driving using Machine Learning ↗ · 2019 · Honda, Takuya et al. · indexed
37. What Attracts the Driver’s Eye? Attention as a Function of Task and Events ↗ · 2022 · Eisma, Yke Bauke et al. · indexed
38. DGAZE: Driver Gaze Mapping on Road ↗ · 2020 · Dua, Isha et al. · indexed
39. Eye Gaze Estimation Invisible and IR Spectrum for Driver Monitoring System ↗ · 2020 · Mohan, Susmitha et al. · indexed
40. Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios ↗ · 2018 · Yuan, Wei et al. · indexed
41. Camera-Based Driver Monitoring System for Abnormal Behavior Detection · 2020 · Aljaafreh, Ahmad · archived
42. Detecting driver's visual attention area by using vehicle-mounted device ↗ · 2017 · Mizuno, Nobuhiro et al. · indexed
43. Looking at the Road When Driving Around Bends: Influence of Vehicle Automation and Speed · 2019 · Schnebelen, Damien et al. · archived
44. Real-Time Driver Gaze Direction Detection Using the 3D Triangle Model and Neural Networks ↗ · 2013 · Cheng, Wen-Chang et al. · indexed
45. Visual Monitoring of Driver Inattention · 2008 · Bergasa, Luis M. et al. · archived
46. Measuring Driver Perception: Combining Eye-Tracking and Automated Road Scene Perception ↗ · 2020 · Stapel, Jork et al. · indexed
47. Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network ↗ · 2020 · Cha, Xiaolei et al. · indexed
48. Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring · 2009 · Ahlstrom, Christer et al. · archived
49. Driver's distraction detection based on gaze estimation ↗ · 2016 · Maralappanavar, Shweta et al. · indexed
50. Deep learning–based eye tracking system to detect distracted driving ↗ · 2024 · Xin, Song et al. · indexed
51. A comprehensive safety analysis for gaze fixation of drivers to outside scene · 2022 · Sarkar, Abhijit · archived
52. Toward Real-Time Estimation of Driver Situation Awareness: An Eye-tracking Approach based on Moving Objects of Interest ↗ · 2020 · Kim, Hyungil et al. · indexed
53. Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-car data ↗ · 2017 · Seppelt, Bobbie et al. · indexed
54. Driver Gaze Tracking and Eyes Off the Road Detection System ↗ · 2015 · Vicente, Francisco et al. · indexed
55. Real-Time Gaze Estimator Based on Driver's Head Orientation for Forward Collision Warning System ↗ · 2011 · Lee, Sung Joo et al. · indexed
56. A Framework for Robust Driver Gaze Classification ↗ · 2016 · Fridman, Lex et al. · indexed
57. Aggregated mapping of driver attention from matched optical flow ↗ · 2014 · Perko, Roland et al. · indexed
58. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
59. Driver's gaze prediction in dynamic automotive scenes ↗ · 2017 · Schwehr, Julian et al. · indexed
60. Extract the Gaze Multi-dimensional Information Analysis Driver Behavior ↗ · 2020 · Lyu, Kui et al. · indexed
61. Drivers’ Attention Strategies before Eyes-off-Road in Different Traffic Scenarios: Adaptation and Anticipation ↗ · 2021 · Liu, Zhuofan et al. · indexed
62. 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
63. Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Time ↗ · 2014 · Darshana, Sanka et al. · indexed
64. Investigating the correspondence between driver head position and glance location · 2018 · Lee, Joonbum et al. · archived
65. Driver Gaze Region Estimation Based on Computer Vision ↗ · 2020 · Shan, Xinghua et al. · indexed
66. ‘Owl’ and ‘Lizard’: patterns of head pose and eye pose in driver gaze classification ↗ · 2016 · Fridman, Lex et al. · indexed
67. Real-time categorization of driver's gaze zone using the deep learning techniques ↗ · 2016 · Choi, In-Ho et al. · indexed
68. Head and eye gaze dynamics during visual attention shifts in complex environments ↗ · 2012 · Doshi, A. et al. · indexed
69. Multi-Modal Vehicle Display Design and Analysis [Driving with Distractions] · 2004 · Cohen, J. et al. · archived
70. Improving Driver Gaze Prediction With Reinforced Attention ↗ · 2021 · Lv, Kai et al. · indexed
71. Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study ↗ · 2020 · Ma, Yanli et al. · indexed
72. On-Road Eye Movement Tracking-Glance Analysis of Dynamic Scenes ↗ · 2005 · Sodhi, Manbir S. · indexed
73. Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects ↗ · 2021 · Banerjee, Sandipan et al. · indexed
74. Information Fusion for Driver Distraction Studies Using Eye Tracking Glasses ↗ · 2021 · Paletta, Lucas et al. · indexed
75. Monitoring head/eye motion for driver alertness with one camera ↗ · 2002 · Smith, P. et al. · indexed
76. The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness ↗ · 2022 · Xu, Jiawei et al. · indexed
77. Implicit Calibration of Point-of-Gaze on Scene Image Using Smooth-Pursuit Eye Movements for Driver Monitoring ↗ · 2025 · Nakazawa, Riku et al. · indexed
78. Automated methods of detecting driver distractions ↗ · 2025 · Reimer, Bryan · indexed
79. Glance analysis of driver eye movements to evaluate distraction ↗ · 2002 · Sodhi, Manbir et al. · indexed
80. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
81. A Differential 2D Gaussian Ellipse-Based Eye Movement Analysis · 2025 · Zhang, Jiahao et al. · archived
82. Theoretical interpretation of drivers’ gaze strategy influenced by optical flow ↗ · 2021 · Okafuji, Yuki et al. · indexed
83. Drivers use active gaze to monitor waypoints during automated driving ↗ · 2020 · Mole, Callum et al. · indexed
84. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
85. “Looking at the Right Stuff” – Guided Semantic-Gaze for Autonomous Driving ↗ · 2020 · Pal, Anwesan et al. · indexed
86. Analysis of Drivers' Head and Eye Movement Correspondence: Predicting Drivers' Glance Location Using Head Rotation Data ↗ · 2015 · Muñoz, Mauricio et al. · indexed
87. Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems ↗ · 2005 · Hammond, R.I. et al. · indexed
88. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
89. Driver Gaze Zone Estimation Based on Three-Channel Convolution-Optimized Vision Transformer With Transfer Learning ↗ · 2024 · Li, Zhao et al. · indexed
90. On the Difference Between Necessary and Unnecessary Glances Away From the Forward Roadway: An Occlusion Study on the Motorway · 2019 · Kircher, Katja et al. · archived
91. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
92. Detection of driver distraction based on temporal relationship between eye-gaze and peripheral vehicle behavior ↗ · 2012 · Hirayama, Takatsugu et al. · indexed
93. Eye gaze tracking based driver monitoring system ↗ · 2017 · Mavely, Annu George et al. · indexed
94. Probabilistic Estimation of the Gaze Region of the Driver using Dense Classification ↗ · 2018 · Jha, Sumit et al. · indexed
95. Gaze and Eye Tracking: Techniques and Applications in ADAS ↗ · 2019 · Khan, Muhammad Qasim et al. · indexed
96. Eye Glance and Head Turn Correspondence during Secondary Task Performance in Simulator Driving ↗ · 2013 · Talamonti, Walter J. et al. · indexed
97. Improvement of Driving Simulator Eye Tracking Software · 2019 · Davis, Brian et al. · archived
98. Driving distraction detection based on gaze activity ↗ · 2021 · Zhang, Yingji et al. · indexed
99. Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems ↗ · 2021 · Ledezma, Agapito et al. · indexed
100. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
101. Distraction Detection in Automotive Environment using Appearance-based Gaze Estimation ↗ · 2022 · L.R.D, Murthy et al. · indexed
102. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
103. On driver gaze estimation: Explorations and fusion of geometric and data driven approaches ↗ · 2016 · Vasli, Borhan et al. · indexed
104. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
105. Investigating the relationships between gaze patterns, dynamic vehicle surround analysis, and driver intentions ↗ · 2009 · Doshi, Anup et al. · indexed
106. An Analytical Model for Estimating Average Driver Attention Based on the Visual Field ↗ · 2022 · Khairdoost, Nima et al. · indexed
107. The view from the road: The contribution of on-road glance-monitoring technologies to understanding driver behavior ↗ · 2013 · Taylor, T. et al. · indexed
108. An new algorithm for analyzing driver's attention state ↗ · 2009 · Keyou Guo et al. · indexed
109. Evaluation of methods for the assessment of attention while driving ↗ · 2018 · Kircher, Katja et al. · indexed
110. Analyzing Gaze During Driving: Should Eye Tracking Be Used to Design Automotive Lighting Functions? ↗ · 2025 · Kunst, Korbinian et al. · indexed
111. Modeling gaze priorities in driving ↗ · 2010 · Sullivan, B. et al. · indexed
112. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism · 2021 · Zhu, Haibei et al. · archived
113. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation · 2017 · Louw, Tyron et al. · archived
114. 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
115. Examining drivers' eye glance patterns during distracted driving: Insights from scanning randomness and glance transition matrix ↗ · 2017 · Wang, Yuan et al. · indexed
116. Head tracking based glance area estimation for driver behaviour modelling during lane change execution ↗ · 2014 · Pech, Timo et al. · indexed
117. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
118. On-to-off-path gaze shift cancellations lead to gaze concentration in cognitively loaded car drivers: A simulator study exploring gaze patterns in relation to a cognitive task and the traffic environment ↗ · 2020 · Nilsson, Emma J. et al. · indexed
119. DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al. · indexed
120. Heatmap-Based Method for Estimating Drivers’ Cognitive Distraction ↗ · 2020 · Musabini, Antonyo et al. · indexed
121. Driver Monitoring System Based on Gaze Classification by Using Eye Center Location Recognition ↗ · 2018 · Lee, Juyong et al. · indexed
122. Eye movements reveal that drivers can predict the location of hazards in dynamic road scenes but gaze and awareness are dissociable ↗ · 2025 · Song, Jiali et al. · indexed
123. Multimodal classification of driver glance ↗ · 2017 · Baumann, Daniel et al. · indexed
124. Mobile eye tracking during real-world night driving: A selective review of findings and recommendations for future research · 2017 · Grüner, Markus et al. · archived
125. Systematic Observation of an Expert Driver's Gaze Strategy—An On-Road Case Study ↗ · 2017 · Lappi, Otto et al. · indexed
126. Driver Gaze Estimation Method Based on Improved Multi-Head Attention ↗ · 2025 · Li, Penghua et al. · indexed
127. A Sign Reading Driver Assistance System Using Eye Gaze ↗ · 2006 · Fletcher, L. et al. · indexed
128. Vision-based methods for driver monitoring ↗ · 2004 · Wahlstrom, E. et al. · indexed
129. Methodology for Capturing Driver Eye Glance Behavior during In-Vehicle Secondary Tasks ↗ · 2005 · Smith, David L. et al. · indexed
130. A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring ↗ · 2020 · Yang, Lichao et al. · indexed
131. Monitoring driver attention distraction with binocular vision ↗ · 2019 · Sun, Hai Yan et al. · indexed
132. On generalizing driver gaze zone estimation using convolutional neural networks ↗ · 2017 · Vora, Sourabh et al. · indexed
133. 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
134. Study on Driver Attention Allocation under Common Driving Behaviors ↗ · 2018 · Ren, Yuan-yuan et al. · indexed
135. Head pose and gaze direction tracking for detecting a drowsy driver ↗ · 2014 · In-Ho Choi et al. · indexed
136. Driver Distraction Detection and Identity Recognition in Real-Time ↗ · 2010 · Zeng, Jinhua et al. · indexed
137. Driver Demand: Eye Glance Measures ↗ · 2016 · Seaman, Sean et al. · indexed
138. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
139. Eye-movements in real curve driving: pursuit-like optokinesis in vehicle frame of reference, stability in an allocentric reference coordinate system ↗ · 2013 · Lappi, Otto et al. · indexed
140. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
141. Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al. · archived
142. Driver Gaze Behavior Is Different in Normal Curve Driving and when Looking at the Tangent Point ↗ · 2015 · Itkonen, Teemu et al. · indexed
143. Classification of Eye Movement and Its Application in Driving Based on a Refined Pre-Processing and Machine Learning Algorithm ↗ · 2021 · Li, Xiansheng et al. · indexed
144. Gaze direction when driving after dark on main and residential roads: Where is the dominant location? ↗ · 2016 · Winter, J et al. · indexed
145. Study of MTCNN-based driver gaze information visualization ↗ · 2022 · Kim, Hyung-Kyu et al. · indexed
146. Visual attention computation in video of driving environment ↗ · 2014 · Han, Junwei et al. · indexed
147. Discriminative Capabilities of Eye Gaze Measures for Cognitive Load Evaluation in a Driving Simulation Task ↗ · 2025 · Bakhchina, Anastasiia et al. · indexed
148. A Driver Gaze Estimation Method Based on Deep Learning ↗ · 2022 · Shah, Sayyed Mudassar et al. · indexed
149. Task-dependent gaze priorities in driving ↗ · 2011 · Sullivan, B. et al. · indexed
150. Simple gaze-contingent cues guide eye movements in a realistic driving simulator ↗ · 2013 · Pomarjanschi, Laura et al. · indexed
151. Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review ↗ · 2024 · Arias-Portela, Claudia Yohana et al. · indexed
152. A Review Study on the Use of Oculometry in the Assessment of Driver Cognitive States ↗ · 2021 · Dang, Thomas et al. · indexed
153. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
154. Driver visual attention model based on top-down mechanism ↗ · 2024 · Li, Qinghao et al. · indexed
155. Automatic processing of gaze movements to quantify gaze scanning behaviors in a driving simulator ↗ · 2020 · Swan, Garrett et al. · indexed
156. Some On-Road Glances are More Equal Than Others: Measuring Engagement in the Driving Task ↗ · 2019 · Hoekstra-Atwood, Liberty et al. · indexed
157. Appearance-Based Driver 3-D Gaze Estimation Using GRM and Mixed Loss Strategies ↗ · 2024 · Li, Taiguo et al. · indexed
158. The Effects of Highway Curves on Driver Gazing Behavior in a Driving Simulator ↗ · 2011 · Zhao, Xiaohua et al. · indexed
159. Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation ↗ · 2022 · Huang, Jianling et al. · indexed
160. Driver Gaze Zone Dataset With Depth Data ↗ · 2019 · Ribeiro, Rafael F. et al. · indexed
161. STUDY ON THE DRIVING GAZE SHIFT CHARACTERISTICS OF VISION INTERESTING AREA ON MOUNTAINOUS ROAD ↗ · 2023 · Meng, Yunwei et al. · indexed
162. Subspace eyetracking for driver warning ↗ · 2004 · De la Torre, F. et al. · indexed
163. Gaze doesn’t always lead steering ↗ · 2018 · Lehtonen, Esko et al. · indexed
164. Predicting Driving State, Intent to Merge and Working Memory Load from Eye-Tracking Data Collected in a Driving Simulator Study ↗ · 2025 · Arndt, Rimo Aron · indexed
165. Video-based detection and analysis of driver distraction and inattention ↗ · 2014 · Yun, Yixiao et al. · indexed
166. From Scene to Object: Text-Guided Dual-Gaze Prediction · 2026 · Ke, Zehong et al. · archived
167. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
168. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al. · archived
169. Dynamic scan paths investigations under manual and highly automated driving · 2021 · Navarro, Jordan et al. · archived
170. An Integrated Framework for Multi-State Driver Monitoring Using Heterogeneous Loss and Attention-Based Feature Decoupling ↗ · 2022 · Hu, Zhongxu et al. · indexed
171. Reported Order of Importance Does not Predict Fixation Order when Viewing Driving Scenes ↗ · 2020 · Diamond, Anastasia et al. · indexed
172. Driver alertness detection using Google Glasses ↗ · 2015 · Liu, Kuang-Yu et al. · indexed
173. Beyond the tangent point: Gaze targets in naturalistic driving ↗ · 2013 · Lappi, Otto et al. · indexed
174. X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild ↗ · 2020 · Stappen, Lukas et al. · indexed
175. Fuzzy-System-Based Detection of Pupil Center and Corneal Specular Reflection for a Driver-Gaze Tracking System Based on the Symmetrical Characteristics of Face and Facial Feature Points ↗ · 2017 · Lee, Dong et al. · indexed
176. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
177. Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving ↗ · 2022 · Marx, Cyril et al. · indexed
178. Eye movements in real and simulated driving and navigation control - Foreword to the Special Issue · 2021 · Groner, Rudolf et al. · archived
179. Assessment of the SEEV Model to Predict Attention Allocation at Intersections During Simulated Driving ↗ · 2013 · Cassavaugh, Nicholas D et al. · indexed
180. Drivers Glance Like Lizards during Cell Phone Distraction in Assisted Driving ↗ · 2021 · Yang, Shiyan et al. · indexed
181. Using Markov Chains to Understand the Sequence of Drivers' Gaze Transitions During Lane-Changes in Automated Driving ↗ · 2019 · Gonçalves, Rafael et al. · indexed
182. LNet: Lightweight Network for Driver Attention Estimation via Scene and Gaze Consistency ↗ · 2026 · Hu, Daosong et al. · indexed
183. Influence of Road Geometry on Driver’s Gaze Behavior on Motorways ↗ · 2019 · Hristov, Borislav · indexed
184. Effects of an active visuomotor steering task on covert attention · 2019 · Tuhkanen, Samuel et al. · archived
185. Gazing as actual parameter for drowsiness assessment in driving simulators · 2019 · Rumagit, Arthur M. et al. · archived
186. The correlation between drivers’ road familiarity and glance behavior using real vehicle experimental data and mathematical models ↗ · 2024 · Huang, Jing et al. · indexed
187. Gaze Patterns in a Steering-Into-Lane Task on a Straight Road: The Effect of Driving Speed, Lane, and Expertise ↗ · 2011 · Kadar, Endre E. et al. · indexed
188. A Driving Position-Sensitive Neural Network for Driver Fixation Prediction ↗ · 2022 · Ji, Shihui et al. · indexed
189. Driver Gaze Zone Estimation via Head Pose Fusion Assisted Supervision and Eye Region Weighted Encoding ↗ · 2021 · Yang, Yirong et al. · indexed
190. Automatic Calibration Method for Driver's Head Orientation in Natural Driving Environment ↗ · 2013 · Fu, Xianping et al. · indexed
191. Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving ↗ · 2016 · Cabrall, Christopher et al. · indexed
192. Visual attention while driving: sequences of eye fixations made by experienced and novice drivers ↗ · 2003 · Underwood, Geoffrey et al. · indexed
193. How do Environmental Factors Affect Drivers' Gaze and Head Movements? · 2021 · Tavakoli, Arash et al. · archived
194. Evaluation of Driver Distraction with Changes in Gaze Direction Based on a Vestibulo-Ocular Reflex Model ↗ · 2017 · Son, Le Anh et al. · indexed
195. Driver inattention monitoring system for intelligent vehicles: A review ↗ · 2009 · Dong, Yanchao et al. · indexed
196. Field and Simulator Evaluations of a PC-Based Attention Maintenance Training Program · 2011 · Thomas, F. Dennis et al. · archived
197. Particle Filter Based Correction of On-Board Camera Driver Gaze Estimation ↗ · 2024 · Pătrut, Deiana-Natalia et al. · indexed
198. Survey and Synthesis of State of the Art in Driver Monitoring · 2021 · Halin, Anaïs et al. · archived
199. Car Drivers' Pattern of Eye Fixations on the Road and in the Laboratory ↗ · 1981 · Cohen, Amos S. · indexed
200. Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use ↗ · 2025 · Halin, Anaïs et al. · indexed
201. A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations · 2021 · Mao, Runze et al. · archived
202. Low-Cost Eye-Tracking Fixation Analysis for Driver Monitoring Systems Using Kalman Filtering and OPTICS Clustering ↗ · 2025 · Brandstetter, Jonas et al. · indexed
203. Characterizing Drivers' Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance · 2023 · Biswas, Abhijat et al. · archived
204. A Compact Wearable Eye Movement Measurement System for Support of Safe Driving ↗ · 2019 · Hoshino, Kiyoshi et al. · indexed
205. Look-ahead fixations in curve driving ↗ · 2012 · Lehtonen, Esko et al. · indexed
206. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
207. Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring ↗ · 2013 · Oyini Mbouna, Ralph et al. · indexed
208. Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates ↗ · 2021 · Deng, Tao et al. · indexed
209. Your Eyes Hold Your Mind: Gaze-Based Inference of Human Decision-Making in Conditionally Automated Driving ↗ · 2025 · Choi, Minseo et al. · indexed
210. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
211. Adaptations of drivers’ gaze behaviour during car-following as a function of vehicle automation, duration of use and prior driving experience · 2026 · Schnebelen, Damien et al. · archived
212. Analyzing Gaze Data During Rest Time/Driving Simulator Operation Using Machine Learning · 2022 · Fujikake, Kazuhiro et al. · archived
213. Driver glance behaviors and scanning patterns: Applying static and dynamic glance measures to the analysis of curve driving with secondary tasks ↗ · 2019 · Jeong, Heejin et al. · indexed
214. Allocation of Drivers’ Visual Attention During Preliminary Uses of Automated Driving: A Wizard-of-Oz Study · 2022 · Barré, Jessy et al. · archived
215. HammerDrive: A Task-Aware Driving Visual Attention Model ↗ · 2022 · Amadori, Pierluigi Vito et al. · indexed
216. Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach ↗ · 2025 · Lim, Chiho et al. · indexed
217. Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge ↗ · 2020 · Rangesh, Akshay et al. · indexed
218. Patterns of Sequential Off-Road Glances Indicate Levels of Distraction in Automated Driving ↗ · 2019 · Yang, Shiyan et al. · indexed
219. Where We Look When We Drive with or without Active Steering Wheel Control ↗ · 2012 · Mars, Franck et al. · indexed
220. Binocular Feature Fusion and Spatial Attention Mechanism Based Gaze Tracking ↗ · 2022 · Dai, Lihong et al. · indexed
221. Eye Gaze for Monitoring Attention Through Hybrid Ensemble Learning ↗ · 2024 · Ranjeet Bidwe · indexed
222. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
223. Eye Glance Behavior during Lane Changes and Straight-Ahead Driving ↗ · 2005 · Olsen, Erik C. B. et al. · indexed
224. Gaze-eccentricity effects on road position and steering. ↗ · 2002 · Readinger, Wilson O. et al. · indexed
225. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
226. Precise eye location in driver fatigue state surveillance system ↗ · 2007 · Huabiao Qin et al. · indexed
227. Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis ↗ · 2026 · Chouchane, Hanna et al. · indexed
228. Car driving temporal cognitive workload estimation using features of eye tracking ↗ · 2024 · Nakayama, Minoru et al. · indexed
229. Driver eye-scanning behavior at intersections at night. · 2009 · Higgins, Laura L. et al. · archived
230. Looks Are (Almost) Everything: Where Drivers Look to Get Information ↗ · 2008 · Shinar, David · indexed
231. Eye tracking use in researching driver distraction: A scientometric and qualitative literature review approach ↗ · 2019 · Cvahte Ojsteršek, Tina et al. · indexed
232. Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving · 2020 · Schnebelen, Damien et al. · archived
233. Eye Glance and Head Turn Correspondence during Secondary Task Performance in Simulator Driving ↗ · 2014 · Talamonti, Walter J. et al. · indexed
234. On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes ↗ · 2009 · Doshi, A. et al. · indexed
235. Detecting driver inattention in the absence of driver monitoring sensors ↗ · 2005 · Torkkola, K. et al. · indexed
236. Predicting driver behaviour at intersections based on driver gaze and traffic light recognition ↗ · 2020 · Rahman, Md. Junaedur et al. · indexed
237. Individual Differences in Glance Patterns under Distraction in Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
238. Gaze Behavior During Simulated Driving: Elements for a Visual Driving Aid ↗ · 2005 · Mestre, Daniel R et al. · indexed
239. Young Driver Gaze (YDGaze): Dataset for driver gaze analysis ↗ · 2022 · Çeven, Süleyman et al. · indexed
240. Exploring the effects of road type on drivers’ eye behavior and workload ↗ · 2022 · Yao, Kai et al. · indexed
241. Measuring driver awareness based on correlation between gaze behavior and risks of surrounding vehicles ↗ · 2012 · Mori, Masataka et al. · indexed
242. Characterizing Drivers’ Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance ↗ · 2023 · Biswas, Abhijat et al. · indexed
243. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
244. Supervising is not the same as driving: the influence of the interaction between driving modality and time-on-driving on stationary gaze entropy during long, monotonous drive ↗ · 2023 · Di Stasi, Leandro Luigi et al. · indexed
245. Pursuit Eye-Movements in Curve Driving Differentiate between Future Path and Tangent Point Models ↗ · 2013 · Lappi, Otto et al. · indexed
246. Improving Work Zone Safety: Integrating VR-CARLA Co-simulation and Eye Tracking for Behavior Analysis of Drivers around Work Zones · 2025 · Zhang, Shuo et al. · archived
247. On the necessity of adaptive eye movement classification in conditionally automated driving scenarios ↗ · 2016 · Braunagel, Christian et al. · indexed
248. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
249. Gaze guidance reduces the number of collisions with pedestrians in a driving simulator ↗ · 2012 · Pomarjanschi, Laura et al. · indexed
250. Evaluating the Influence of Alert Modalities on Driver Attention Transitions Under Visual Distraction: A Sequence Analysis Approach ↗ · 2026 · Shirani, Niloufar et al. · indexed
251. ARe you watching the road? Comparing Gaze Behaviour and Hazard Prediction between Heads-Up and Heads-Down NDRT Presentation in Augmented Reality ↗ · 2026 · Goodge, Thomas et al. · indexed
252. Objects guide human gaze behavior in dynamic real-world scenes · 2023 · Roth, Nicolas et al. · archived
253. Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control · 2016 · Schmitt, Felix et al. · archived
254. Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task · 2024 · Giorgi, Andrea et al. · archived
255. A modular soft barrier model combines uncertainty and reward to predict human eye movements in a two-task driving environment ↗ · 2013 · Johnson, L. et al. · indexed
256. Effects of Non-Driving Cognitive Activity on Driver's Eye Movement and Their Individual Difference ↗ · 2008 · ITOH, Makoto et al. · indexed
257. 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
258. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
259. Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving ↗ · 2021 · Zhou, Feng et al. · indexed
260. Gaze-eccentricity effects on automobile driving performance -- or -- Going where you look ↗ · 2010 · Readinger, W. O. et al. · indexed
261. End-to-End Multitask Learning for Driver Gaze and Head Pose Estimation ↗ · 2020 · Ewaisha, Mahmoud et al. · indexed
262. Gaze Patterns in the Visual Control of Straight-Road Driving and Braking as a Function of Speed and Expertise ↗ · 2005 · Rogers, Steven D. et al. · indexed
263. Spotting sheep in Yorkshire: using eye-tracking for studying situation awareness in a driving simulator ↗ · 2010 · Barnard, Yvonne et al. · indexed
264. Evaluation and Visualization of Driver Inattention Rating From Facial Features ↗ · 2020 · Dua, Isha et al. · indexed
265. Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness ↗ · 2024 · Zhu, Yueming et al. · indexed
266. Evaluation and Validation of Distraction Detection Algorithms on Multiple Data Sources ↗ · 2018 · Mehrotra, Shashank Kumar et al. · indexed
267. Driver Model of Steering Based on Target Position and Orientation ↗ · 1995 · Yoon, Y. S. et al. · indexed
268. Did you look at the moose? Driver gaze behaviour while searching for hazards in dynamic road scenes ↗ · 2024 · Song, Jiali et al. · indexed
269. Visual Attention and Driving: How to Measure it and How to Train it ↗ · 2014 · Mackenzie, A.K et al. · indexed
270. Evaluation of data collection and annotation approaches of driver gaze dataset ↗ · 2025 · Sharma, Pavan Kumar et al. · indexed
271. 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
272. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
273. Estimating a Driver's Gaze Point by a Remote Spherical Camera ↗ · 2020 · Zhao, Zihao et al. · indexed
274. Predicting human visuomotor behaviour in a driving task ↗ · 2014 · Johnson, Leif et al. · indexed
275. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions · 2010 · Flores, MarcoJavier et al. · archived
276. An efficient multi-task learning CNN for driver attention monitoring ↗ · 2024 · Yang, Dawei et al. · indexed
277. On the Use of Distribution-based Metrics for the Evaluation of Drivers’ Fixation Maps Against Spatial Baselines ↗ · 2022 · Maldonado, Jaime et al. · indexed
278. Analysis of selected off-road glances during driving in real road traffic ↗ · 2020 · Bucsuházy, Kateřina et al. · indexed
279. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement ↗ · 2025 · Kashyap, Lekhapriya Dheeraj et al. · indexed
280. EEG correlates of active visual search during simulated driving: An exploratory study · 2014 · Renold, Hadrien et al. · archived
281. Holistic Driver Monitoring: A Multi-Task Approach for In-Cabin Driver Attention Evaluation through Multi-Camera Data ↗ · 2024 · Palo, Patitapaban et al. · indexed
282. Self-supervised Learning for Detecting Local Contextual Anomalous Gaze Patterns of Individual Drivers in Level 3 Automated Driving ↗ · 2025 · Phan, Huy Thanh et al. · indexed
283. Driver Visual Behavior in the Presence of Commercial Electronic Variable Message Signs (CEVMS) · 2012 · Perez, William A. et al. · archived
284. SS3: A design of the cognitive process model for a car driver considering quantitatively expressed distraction ↗ · 2014 · Harada, Taku et al. · indexed
285. A Bayesian Reference Model for Visual Time-Sharing Behaviour in Manual and Automated Naturalistic Driving ↗ · 2020 · Morando, Alberto et al. · indexed
286. Visual attention for behavioral cloning in autonomous driving ↗ · 2019 · Mohandoss, Tharun et al. · indexed
287. Gaze guidance reduces the number of vehicle-pedestrian collisions in a driving simulator ↗ · 2011 · Pomarjanschi, Laura et al. · indexed
288. Glance behavior as design indices of in-vehicle visual support system: A study using crane simulators ↗ · 2018 · Chew, Jouh Yeong et al. · indexed
289. In-vehicle displays for driving automation: a scoping review of display design and evaluation using driver gaze measures ↗ · 2024 · Kanaan, Dina et al. · indexed
290. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
291. Driver Attention Region Prediction Based on Multi-Attention Mechanism Multi-Scale Fusion Network ↗ · 2026 · Chen, Yunxing et al. · indexed
292. Simultaneous analysis of driver behaviour and road condition for driver distraction detection ↗ · 2011 · Rezaei, Mahdi et al. · indexed
293. Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light ↗ · 2020 · Shimauchi, Takumi et al. · indexed
294. Multimodal Fusion of Heart Rate and Gaze Data For Real-Time Driver Monitoring in Naturalistic Driving ↗ · 2025 · Alhumaily, Basim et al. · indexed
295. Real-time eye detection and tracking for driver observation under various light conditions ↗ · 2003 · Xia Liu et al. · indexed
296. Driver Attention and Behavioral Anomalies Among Older and Younger Drivers During Navigation-Assisted Driving: Evidence from Real-World Eye-Tracking and Vehicle-Dynamics Data ↗ · 2026 · Wen, Ku-Lin et al. · indexed
297. Stationary gaze entropy predicts lane departure events in sleep-deprived drivers · 2018 · Shiferaw, Brook et al. · archived
298. Comparing drivers’ visual attention at Junctions in Real and Simulated Environments · 2019 · Robbins, Chloe J. et al. · archived
299. Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking ↗ · 2020 · Hofbauer, Markus et al. · indexed
300. A Study on the Gaze Range Calculation Method During an Actual Car Driving Using Eyeball Angle and Head Angle Information ↗ · 2019 · Sakurai, Keiko et al. · indexed
301. Open Source Computer Vision Solution for Head and Gaze Tracking in a Driving Simulator Environment ↗ · 2015 · Caplow-Munro, Devin SJ et al. · indexed
302. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
303. A link between attentional function, effective eye movements, and driving ability. ↗ · 2016 · Mackenzie, Andrew et al. · indexed
304. Analysis of Driver Gaze Behaviors at Curve of Secondary Highway with Different Driving Speeds ↗ · 2020 · Qin, Zengke et al. · indexed
305. Limits of spatial attention in three-dimensional space and dual-task driving performance ↗ · 2011 · Andersen, George J. et al. · indexed
306. A distraction index for quantification of driver eye glance behavior: A study using SHRP2 NEST database ↗ · 2019 · Bakhit, Peter R. et al. · indexed
307. Development of a Robust Database for Measuring Human Gaze Behavior and Performance during Naturalistic Driving ↗ · 2017 · Tavassoli, Abtine et al. · indexed
308. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving ↗ · 2021 · Liang, Nade et al. · indexed
309. Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator ↗ · 2020 · González-Ortega, David et al. · indexed
310. Human-centric analysis of driver inattention ↗ · 2013 · Taib, Ronnie et al. · indexed
311. Design of Gaze Evaluation System in Driving Using Eye Tracking and Object Detection ↗ · 2025 · Thakulla, Jagat et al. · indexed
312. Gaze-based interaction on multiple displays in an automotive environment ↗ · 2011 · Poitschke, Tony et al. · indexed
313. Eye-tracking for detection of driver fatigue ↗ · 2002 · Eriksson, M. et al. · indexed
314. Real-time monitoring of driver distraction: State-of-the-art and future insights · 2023 · Michelaraki, Eva et al. · archived
315. Contributions to Driver Fatigue Detection Based on Eye-tracking ↗ · 2021 · Băiașu, Ana-Maria et al. · indexed
316. 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
317. Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes ↗ · 2013 · Mori, Masataka et al. · indexed
318. Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle · 2020 · Gomaa, Amr et al. · archived
319. Various Approaches for Driver and Driving Behavior Monitoring: A Review ↗ · 2013 · Kang, Hang-Bong · indexed
320. A neural system for eye detection in a driver vigilance application ↗ · 2005 · D'Orazio, T. et al. · indexed
321. Attention Monitoring Using Eye Gaze with a Hybrid Ensemble Learning Approach ↗ · 2024 · Ranjeet Bidwe · indexed
322. Road dependent driver eye movements under real driving conditions by electrooculography ↗ · 2013 · Ebrahim, P. et al. · indexed
323. Gaze-based Drowsiness Recognition for Level 3 Automated Driving: Designing Core Features and Temporal Windows ↗ · 2026 · Jang, Eun Hye et al. · indexed
324. 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
325. Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets ↗ · 2012 · Ahlstrom, Christer et al. · indexed
326. The knowledge base of the oculomotor system · 1997 · Land, Michael F. et al. · archived
327. Driver body information analysis for distraction state detection ↗ · 2015 · Sato, Kazuhito et al. · indexed
328. A robust and efficient face tracker for driver inattention monitoring system ↗ · 2011 · Yanchao Dong et al. · indexed
329. A Simple Approach to Implementing a System for Monitoring Driver Inattention ↗ · 2006 · Su, Mu-Chun et al. · indexed
330. Sequential In-Vehicle Glance Analysis of Attention Maintenance Behavior for Trained and Untrained Young Drivers ↗ · 2017 · Bıçaksız, Pinar et al. · indexed
331. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
332. Evaluating the Effects of Secondary Tasks on Driver Gaze Duration: A Duration Modeling Approach ↗ · 2025 · Ali, Yasir et al. · indexed
333. On the highway measures of driver glance behavior with an example automobile navigation system ↗ · 2004 · Chiang, Dean P. et al. · indexed
334. Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al. · indexed
335. Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display ↗ · 2016 · Langner, Tobias et al. · indexed
336. Inference of large truck driver's intent to change lanes to pass a lead vehicle via analyses of driver's eye glance behavior in the real world ↗ · 2007 · Itoh, M. et al. · indexed
337. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al. · indexed
338. Eyes Off the Road: Where Drivers Look When ADAS Control Authority Changes ↗ · 2026 · Ekambaram Thondaiman, Ramkumaar et al. · indexed
339. Driving around bends with manipulated eye-steering coordination ↗ · 2008 · Mars, F. · indexed
340. Driver's lane keeping ability with eyes off road: Insights from a naturalistic study ↗ · 2012 · Peng, Yiyun et al. · indexed
341. Classification of Driver Distraction Risk Levels: Based on Driver’s Gaze and Secondary Driving Tasks ↗ · 2022 · Zheng, Lili et al. · indexed
342. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
343. Incorporation of Driver Distraction in Car-following model based on Driver's Eye Glance Behavior ↗ · 2018 · Kim, Yeeun et al. · indexed
344. Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection ↗ · 2022 · Qiu, Yuning et al. · indexed
345. Visual context capture and analysis for driver attention monitoring ↗ · 2005 · McCall, J.C. et al. · indexed
346. Detection of consciousness degradation and concentration of a driver for friendly information service ↗ · 2002 · Kojima, N. et al. · indexed
347. A Preliminary Assessment of Rider/Driver Gaze Behaviour in Slovenian Urban Areas ↗ · 2022 · Gruden, Chiara et al. · indexed
348. A gaze model improves autonomous driving ↗ · 2019 · Liu, Congcong et al. · indexed
349. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior ↗ · 2013 · Ahlstrom, Christer et al. · indexed
350. Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition · 2023 · Kim, Dohun et al. · archived
351. A robust and efficient face tracking kernel for Driver Inattention Monitoring System ↗ · 2010 · Dong, Yanchao et al. · indexed
352. Attentional Biases during Steering Behavior · 2013 · Bieg, Hans-Joachim et al. · archived
353. Fatigue Driving Detection Based on Eye Features ↗ · 2025 · Yao, Shengnan et al. · indexed
354. Gaze Strategies in Driving–An Ecological Approach ↗ · 2022 · Lappi, Otto · indexed
355. Can gaze control steering? ↗ · 2023 · Tuhkanen, Samuel et al. · indexed
356. Pedestrian gaze pattern before crossing road in a naturalistic traffic setting ↗ · 2023 · Zhao, Qingxian et al. · indexed
357. Efficient eye states detection in real-time for drowsy driving monitoring system ↗ · 2008 · Cui Xu et al. · indexed
358. The evaluation of eye-catching effect in freeway tunnel entrance zone based on fixation behavior characteristics ↗ · 2023 · Han, Lei et al. · indexed
359. 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
360. Estimating the Gaze Point of a Student in a Driving Simulator ↗ · 2006 · Fikkert, W. et al. · indexed
361. High-Resolution Neural Network for Driver Visual Attention Prediction ↗ · 2020 · Kang, Byeongkeun et al. · indexed
362. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
363. Preliminary investigation of real-time monitoring of a driver in city traffic ↗ · 2002 · Betke, M. et al. · indexed
364. Development & Testing of a Camera-Based Driver Monitoring System ↗ · 2024 · Bhagat, Ajinkya et al. · indexed
365. 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
366. A Generalized Method to Extract Visual Time-Sharing Sequences From Naturalistic Driving Data ↗ · 2017 · Ahlstrom, Christer et al. · indexed
367. Cognitive Driver Distraction Improves Straight Lane Keeping: A Cybernetic Control Theoretic Explanation ↗ · 2016 · Boer, Erwin R. et al. · indexed
368. Gaze is more than just a point: Rethinking visual attention analysis using peripheral vision-based gaze mapping ↗ · 2023 · Wang, Felix Sihan et al. · indexed
369. Nonintrusive Detection of Driver Cognitive Distraction in Real Time Using Bayesian Networks ↗ · 2007 · Liang, Yulan et al. · indexed
370. Using Eye-Tracking for Traffic Control Signage Design at Highway Work Zone ↗ · 2022 · Tang, Ming et al. · indexed
371. Real-time driving manoeuvre prediction using IO-HMM and driver cephalo-ocular behaviour ↗ · 2017 · Zabihi, S.M. et al. · indexed
372. Comprehensive system for the evaluation of the attention level of a driver ↗ · 2016 · Pullano, S. A. et al. · indexed
373. Estimation of a three-dimensional gaze point and the gaze target from the road images ↗ · 2011 · Takagi, Kenji et al. · indexed
374. Research on Allocation of the Driver's Attention on the Tunnel Sections of a Mountain Freeway ↗ · 2010 · He, Cao et al. · indexed
375. Distraction Assessment Methods Based on Visual Behavior and Event Detection ↗ · 2008 · Victor, Trent et al. · indexed
376. Towards low-cost systems for measuring visual cues of driver fatigue and inattention in automotive applications ↗ · 2006 · Bretzner, L. et al. · indexed
377. Leveraging explainable artificial intelligence to improve advanced driver assistance systems through driver eye-tracking interpretation ↗ · 2026 · Sulle, Methusela et al. · indexed
378. Wearable Driver Monitoring System ↗ · 2024 · Benusa, Michael et al. · indexed
379. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
380. Eyes location by regional features and knowledge matching for driver fatigue detection ↗ · 2009 · Wang XianMei et al. · indexed
381. Driver Distraction Detection with a Camera Vision System ↗ · 2007 · Kutila, Matti et al. · indexed
382. An optimized eye locating and tracking system for driver fatigue monitoring ↗ · 2007 · He Huang et al. · indexed
383. Gaze direction and driving behavior of drivers at level crossings ↗ · 2016 · Grippenkoven, Jan et al. · indexed
384. Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles ↗ · 2019 · Wu, Min et al. · indexed
385. Real‐time eye tracking for the assessment of driver fatigue ↗ · 2018 · Xu, Junli et al. · indexed
386. Fatigue features based on eye tracking for driver inattention system ↗ · 2011 · Horak, Karel · indexed
387. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis ↗ · 2026 · Arabian, Ali et al. · indexed
388. Eye state detection for driver inattention based on Lucas Kanade optical flow algorithm ↗ · 2016 · Hassan, Halina et al. · indexed
389. CGVA: Cognitive Guided Visual Attention Selection in Traffic Driving Environment ↗ · 2025 · Chen, Renjie et al. · indexed
390. Driver head pose and gaze estimation based on multi-template ICP 3-D point cloud alignment ↗ · 2012 · Bar, Tobias et al. · indexed
391. GazeSymCAT: A symmetric cross-attention transformer for robust gaze estimation under extreme head poses and gaze variations ↗ · 2025 · Zhong, Yupeng et al. · indexed
392. Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget ↗ · 2023 · Xu, Chengliang et al. · indexed
393. Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns ↗ · 2008 · Nopsuwanchai, Roongroj et al. · indexed
394. Evaluation of Cognitive Distraction in a Real Vehicle Based on the Reflex Eye Movement · 2018 · Son, Le Anh et al. · archived
395. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis ↗ · 2025 · Arabian, Ali et al. · indexed
396. Analysis of Driver Gaze and Attention to Traffic Signs ↗ · 2022 · Shabani, Shabnam et al. · indexed
397. Head, Eye, and Hand Patterns for Driver Activity Recognition ↗ · 2014 · Ohn-Bar, Eshed et al. · indexed
398. DRIVER BEHAVIOR MONITORING SYSTEM ↗ · 2021 · Rybak, Andriian · indexed
399. Eye-head coordination during driving ↗ · 2002 · Land, M.F. · indexed
400. Using the Active Appearance Model to detect driver fatigue ↗ · 2007 · Saeed, Isaam et al. · indexed
401. Detecting Driver Cognition Alertness State From Visual Activities in Normal and Emergency Scenarios ↗ · 2022 · Luo, Longxi et al. · indexed
402. Impact of information bandwidth of in-vehicle technologies on drivers' attention maintenance performance: A driving simulator study ↗ · 2018 · Yamani, Yusuke et al. · indexed
403. Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety ↗ · 2016 · Li, Xuanpeng et al. · indexed
404. Gaze Patterns in Pedestrian Interaction with Vehicles ↗ · 2019 · Dey, Debargha et al. · indexed
405. An approach of region of interest detection based on visual attention and gaze tracking ↗ · 2012 · Zhang, Jing et al. · indexed
406. Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations ↗ · 2014 · Tawari, Ashish et al. · indexed
407. Short-Term Performance of Visual Attention Prompt Methods Across Driver Proficiency in a Driving Simulator ↗ · 2026 · Liang, Jinwei et al. · indexed
408. Eye Gaze Tracking Alarm System For Driver Distraction Detection ↗ · 2025 · Bhavya, S et al. · indexed
409. Analysis of eye gaze given different automated driving styles in an urban environment ↗ · 2022 · Felbel, Konstantin et al. · indexed
410. A simulator evaluation of the effects of attention maintenance training on glance distributions of younger novice drivers inside and outside the vehicle ↗ · 2013 · Divekar, Gautam et al. · indexed
411. Driver Sleepiness Detection System Based on Eye Movements Variables ↗ · 2013 · Jin, Lisheng et al. · indexed
412. Driver Inattention Detection Using a Hybrid Vision Transformer and BiLSTM ↗ · 2026 · Teja, Devanaboyina Manikanta et al. · indexed
413. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
414. Predicting driver adaptability: a computational rationality model for attention allocation in lateral vehicle control ↗ · 2026 · Hautaoja, Toni · indexed
415. Influence of urban road infrastructure on drivers’ gaze behavior ↗ · 2025 · Hristov, Borislav et al. · indexed
416. Research on driver fatigue detection strategy based on human eye state ↗ · 2017 · Chen, Peijiang · indexed
417. Attention allocation patterns in naturalistic driving ↗ · 2013 · Wong, Jinn-Tsai et al. · indexed
418. Where to Look? VR Gaze-Based Analysis in Adverse Weather Driving ↗ · 2025 · Bang, Junsik et al. · indexed
419. Driver attention level estimation using driver model identification ↗ · 2019 · Nishigaki, Morimichi et al. · indexed
420. Real-time image-based driver fatigue detection and monitoring system for monitoring driver vigilance ↗ · 2016 · Tang, Xinxing et al. · indexed
421. EEG-Based Attention Tracking During Distracted Driving ↗ · 2015 · Wang, Yu-Kai et al. · indexed
422. Driver Fatigue Detection based on Eye State Analysis ↗ · 2008 · Du, Yong et al. · indexed
423. Driver fatigue monitoring method based on eyes state classification ↗ · 2008 · Yanli Liu et al. · indexed
424. Highly Automated Driving Impact on Drivers’ Gaze Behaviors during a Car-Following Task ↗ · 2019 · Navarro, J. et al. · indexed
425. A Novel Driving Behavior Learning and Visualization Method With Natural Gaze Prediction ↗ · 2021 · Yuan, Guoliang et al. · indexed
426. Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization ↗ · 2019 · Akai, Naoki et al. · indexed
427. Detecting driver inattention by rough iconic classification ↗ · 2013 · Masala, G. L. et al. · indexed
428. Design and Implementation of a Driver's Eye State Recognition Algorithm Based on PERCLOS ↗ · 2014 · Peng, Yan et al. · indexed
429. On Driver Eye Closure Recognition for Commercial Vehicles ↗ · 2008 · Hammoud, Riad I. et al. · indexed
430. Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach · 2014 · Čolić, Aleksandar et al. · archived
431. A fast human face modeler and tracker for Driver Inattention Monitoring ↗ · 2011 · Dong, Yanchao et al. · indexed
432. Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera ↗ · 2017 · Schmidt, Jürgen et al. · indexed
433. Attention Allocation in Gaze of Young, Middle-Aged and Elderly Drivers During Driving Simulations · 2025 · Poll, Anamarija et al. · archived
434. Detecting Critical Mismatched Driver Visual Attention During Lane Change: An Embedding Kernel Algorithm ↗ · 2024 · Xu, Jingbin et al. · indexed
435. Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness ↗ · 2019 · Baccour, Mohamed Hedi et al. · indexed
436. Development and Assessment of a Driver Drowsiness Monitoring System · 2012 · NHTSA · archived
437. Gaze Entropy Metrics for Mental Workload Estimation are Heterogenous During Hands-Off Level 2 Automation · 2023 · Goodridge, Courtney Michael et al. · archived
438. Research on Evaluation Model for Secondary Task Driving Safety Based on Driver Eye Movements ↗ · 2014 · Jin, Lisheng et al. · indexed
439. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al. · archived
440. Eye Movement Patterns and Driving Performance ↗ · 2011 · Bian, Zheng et al. · indexed
441. Real Time Driver Gaze Tracking and Eyes off the Road Detection System ↗ · 2023 · Venkatapathi, Pallam et al. · indexed
442. Predictable eye-head coordination during driving ↗ · 1992 · Land, Michael F. · indexed
443. 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
444. Driver attention in urban intersections when crossing paths with cyclists · 2025 · Ahlström, Christer et al. · archived
445. Perception of the visual environment · 2016 · Tatler, Benjamin W. · archived
446. Analyzing driver gaze behavior and consistency of decision making during automated driving ↗ · 2015 · Miyajima, Chiyomi et al. · indexed
447. Gaze and steering strategies while driving around bends with shoulders · 2022 · Mecheri, Sami et al. · archived
448. Use of Fixation Heat Maps to Evaluate Visual Behavior of Unfamiliar Drivers on Horizontal Curves ↗ · 2014 · Brimley, Bradford K. et al. · indexed
449. Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition ↗ · 2022 · Li, Ruilin et al. · indexed
450. DRIVERS’ EYE GLANCE TRANSITIONS AND THE IMPLICATIONS ON THE MICROSCOPIC TRAFFIC AND ACCIDENT SIMULATION ↗ · 2017 · KIM, YEEUN et al. · indexed
451. A Visual Attention Monitor Based on Steady-State Visual Evoked Potential ↗ · 2016 · Lee, Yi-Chieh et al. · indexed
452. Models of overt attention ↗ · 2011 · Geisler, Wilson S. et al. · indexed
453. Driver Eye Glance Behavior During Car Following on the Road ↗ · 1999 · Tijerina, Louis · indexed
454. Non-Intrusive Detection of Drowsy Driving Based on Eye Tracking Data ↗ · 2019 · Zandi, Ali Shahidi et al. · indexed
455. The Detection of Visual Distraction using Vehicle and Driver-Based Sensors ↗ · 2016 · Schwarz, Chris et al. · indexed
456. Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes ↗ · 2020 · Svärd, Malin et al. · indexed
457. Detection of Driver Cognitive Distraction Using Machine Learning Methods ↗ · 2023 · Misra, Apurva et al. · indexed
458. An Empirically Based Suggestion for Reformulating the Glance Duration Criteria in NHTSA's Visual-Manual Interaction Guidelines ↗ · 2013 · Ljung Aust, Mikael et al. · indexed
459. Drowsiness Detection and Alertness Using Eye Motion Monitoring · 2023 · Asghar, Rabia et al. · archived
460. A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task ↗ · 2018 · Pekkanen, Jami et al. · indexed
461. Temporal dynamics of gaze behavior around system activation: The role of trust, mental model, and prior experience in automated driving ↗ · 2026 · Seupke, Stephanie et al. · indexed
462. Research on the Influence Law of Driving Experience on Drivers’ Gaze Behavior ↗ · 2019 · Ji, Bingkui et al. · indexed
463. Gaze-based signatures of mind wandering during real-world scene processing. ↗ · 2018 · Krasich, Kristina et al. · indexed
464. Eye detection in face images for a driver vigilance system ↗ · 2004 · D'Orazio, T. et al. · indexed
465. An eye tracking investigation of attention mechanism in driving behavior under emotional issues and cognitive load ↗ · 2023 · Wang, Quan et al. · indexed
466. Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System · 2020 · Jain, Eakta et al. · archived
467. Does order matter? Investigating the effect of sequence on glance duration during on-road driving ↗ · 2017 · Lee, Joonbum et al. · indexed
468. Real-Time Eye Locating and Tracking for Driver Fatigue Detection ↗ · 2010 · Li, Ya Li et al. · indexed
469. Driver monitoring using the in-vehicle camera ↗ · 2019 · Masanovic, Luka et al. · indexed
470. The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving Simulator ↗ · 2022 · Chung, Ji-Yong et al. · indexed
471. Sequential In-Vehicle Glance Distributions ↗ · 2014 · Yamani, Yusuke et al. · indexed
472. Driver fatigue monitoring method based on multi-information fusion ↗ · 2010 · He, Han et al. · indexed
473. A driver-distraction-based lane-keeping assistance system · 2007 · Pohl, Jochen et al. · archived
474. Ocular Movement during Curbside Turns at Intersections ↗ · 2003 · Kitajima, Muneo et al. · indexed
475. Towards enhanced situation awareness in HMI for traffic operations: a robust eye-tracking-based method ↗ · 2026 · Yu, Xiaoqing et al. · indexed
476. Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways · 2024 · Anderson, Gabrial T et al. · archived
477. Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
478. Using gaze-based interactions in automated vehicles for increased road safety ↗ · 2019 · Schmidt, Holger et al. · indexed
479. Eye-Gaze Metrics for Cognitive Load Detection on a Driving Simulator ↗ · 2022 · Pillai, Prarthana et al. · indexed
480. What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model ↗ · 2023 · Du, Pengcheng et al. · indexed
481. Visual Attention, Scanning, and Information Sampling ↗ · 2022 · Wickens, C. D. · indexed
482. Patterns in transitions of visual attention during baseline driving and during interaction with visual–manual and voice-based interfaces ↗ · 2021 · Reimer, Bryan et al. · indexed
483. Intention-Aware Lane Keeping Assist Using Driver Gaze Information ↗ · 2023 · Dahl, John et al. · indexed
484. Drowsy driver detection system using eye blink patterns · 2010 · Danışman, Taner et al. · archived
485. Eye movement analysis in dynamic scenes: presentation and application of different methods in bend taking during car driving ↗ · 2017 · Navarro, Jordan et al. · indexed
486. Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks · 2022 · Meyer, Jason E. et al. · archived
487. A robust, real-time camera-based eye gaze tracking system to analyze users’ visual attention using deep learning ↗ · 2022 · Singh, Jaiteg et al. · indexed
488. Multimodal Approach for Inattentive Driver Detection ↗ · 2019 · Al-Naimi, Ibrahim et al. · indexed
489. Identifying objective behavioural measures of expert driver situation awareness ↗ · 2021 · McKerral, Angus et al. · indexed
490. Closed-loop EEG study on visual recognition during driving ↗ · 2021 · Aydarkhanov, Ruslan et al. · indexed
491. The effects of focused attention training on the duration of novice drivers' glances inside the vehicle ↗ · 2011 · Pradhan, A.K. et al. · indexed
492. Guiding drivers' attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony ↗ · 2026 · Arabian, Ali et al. · indexed
493. Effects of Inaccurate Gaze Behavior on Young Drivers’ Hazard Anticipation ↗ · 2019 · Yahoodik, Sarah et al. · indexed
494. The Implementation of Driver Model Based on the Attention Transfer Process ↗ · 2017 · Zhao, ShuanFeng et al. · indexed
495. Driver fatigue alarm based on eye detection and gaze estimation ↗ · 2007 · Sun, Xinghua et al. · indexed
496. Computer Training Program Improves Teen Drivers’ Attention to the Road [Traffic Tech] · 2011 · NHTSA · archived
497. Real-time system for monitoring driver vigilance ↗ · 2005 · Bergasa, L.M. et al. · indexed
498. 55 Rides: attention annotated head and gaze data during naturalistic driving ↗ · 2021 · Kübler, Thomas C et al. · indexed
499. Pre-trial Gaze Stability Predicts Momentary Slips of Attention ↗ · 2021 · Zhang, Han et al. · indexed
500. Training Novice Drivers to Shorten Distraction Time [Traffic Tech] · 2010 · NHTSA · archived
501. The effect of motor control requirements on drivers’ eye-gaze pattern during automated driving ↗ · 2020 · Goncalves, Rafael C. et al. · indexed
502. Driver fatigue monitoring system based on eye state analysis ↗ · 2014 · Punitha, A. et al. · indexed
503. A Drowsiness and Point of Attention Monitoring System for Driver Vigilance ↗ · 2007 · Batista, Jorge · indexed
504. Attention selection and task interference indriving: an action-oriented view ↗ · 2009 · Engström, Johan et al. · indexed
505. Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator ↗ · 2019 · Deng, Qi et al. · indexed
506. Crash risk associated with eyes-off-road duration by road control type and intersection type · 2025 · Han, Shu et al. · archived
507. Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System ↗ · 2022 · Rundo, Francesco et al. · indexed
508. Real-time system for monitoring driver vigilance ↗ · 2004 · Bergasa, L.M. et al. · indexed
509. Effects of Cognitive, Simulator, and Real-World Training on Novice Driver Gaze Behaviour: A Pre–Post Study ↗ · 2026 · Lawrence, Prem Sudhakar et al. · indexed
510. Driver distraction detection and recognition using RGB-D sensor · 2015 · Craye, Celine et al. · archived
511. AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM · 2017 · Rothkrantz, Léon et al. · archived
512. Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G. · indexed
513. Driver Hypo-vigilance Detection Based on Eyelid Behavior ↗ · 2009 · Sigari, Mohamad Hoseyn · indexed
514. Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural Network ↗ · 2020 · Manjula, P.M. et al. · indexed
515. Adaptive Neural Embedded Systems for Real-Time Driver State Monitoring in Advanced Driver Assistance Systems · 2025 · Alagar Raja Govindasamy · archived
516. GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation ↗ · 2023 · Han, Hongcheng et al. · indexed
517. Real-time Driver Monitoring System Based on Visual Cues ↗ · 2020 · Pondit, Ashish et al. · indexed
518. Guiding drivers’ attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony ↗ · 2025 · Arabian, Ali et al. · indexed
519. Using a visual attentional task and eye-tracking to investigate the effects of pre-takeover resource engagement on attention restoration in conditionally automated driving ↗ · 2025 · Dou, Jinzhen et al. · indexed
520. Gaze Estimation Network Based on Multi-Head Attention, Fusion, and Interaction ↗ · 2025 · Li, Changli et al. · indexed
521. The whereabouts of visual attention: Involuntary attentional bias toward the default gaze direction ↗ · 2017 · Nakashima, Ryoichi et al. · indexed
522. Driver Fatigue Detection Based on Eye Tracking ↗ · 2006 · Ling Gan et al. · indexed
523. Driver Attention Prediction based on Multi-ScaleFeature Fusion ↗ · 2024 · Yu, Chengbin et al. · indexed
524. Computational modeling of driver pre-crash brake response, with and without off-road glances: Parameterization using real-world crashes and near-crashes ↗ · 2021 · Svärd, Malin et al. · indexed
525. Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm ↗ · 2020 · Dreisig, Mariella et al. · indexed
526. Artificial Optic Flow Guides Visual Attention in a Driving Scene ↗ · 2019 · Higuchi, Yoko et al. · indexed
527. Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals · 2025 · Widayat, Tri Agung et al. · archived
528. Examination of Driver Visual and Cognitive Responses to Billboard Elicited Passive Distraction Using Eye-Fixation Related Potential ↗ · 2021 · Wang, Yongxiang et al. · indexed
529. The evaluation of the electrooculogram as a psychophysiological measuring instrument in the driver study of driver behaviour ↗ · 1993 · GALLEY, NIELS · indexed
530. Road sign vision and driver behaviour in work zones · 2019 · Vignali, Valeria et al. · archived
531. Eye-Glance Frequency as a Function of Driver's Intent to Change Lanes ↗ · 2018 · Bhattacharya, Sylvia et al. · indexed
532. Behavior-Aware Knowledge-Embedded Model for Driver Attention Prediction ↗ · 2025 · Zhou, Yuchen et al. · indexed
533. Driver Cognitive Distraction Classification While Using Eco-driving Applications · 2024 · Lin, Rui et al. · archived
534. Sistema Automático Para la Detección de Distracción y Somnolencia en Conductores por Medio de Características Visuales Robustas ↗ · 2017 · Villán, Alberto Fernández et al. · indexed
535. Comparison of Novice and Experienced Drivers Using the SEEV Model to Predict Attention Allocation at Intersections During Simulated Driving ↗ · 2015 · Bos, Alexander J et al. · indexed
536. Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features ↗ · 2019 · Moroto, Yuya et al. · indexed
537. In pursuit of visual attention: SSVEP frequency-tagging targets in a smooth-pursuit paradigm ↗ · 2018 · de Lissa, Peter et al. · indexed
538. Driver fatigue detection based on eye tracking and dynamic template matching ↗ · 2004 · Wen-Bing Horng et al. · indexed
539. Driver's visual attention to different categories of roadside advertising signs · 2019 · Costa, Marco et al. · archived
540. A study on warning system about drowsy status of driver ↗ · 2017 · Nhan, Dinh Thanh et al. · indexed
541. Investigating Visual Attention and Vehicle Dynamics: A Study of Naturalistic Lane Change ↗ · 2024 · Chu, Yuan et al. · indexed
542. A Looming Crisis ↗ · 2014 · Liang, Yulan et al. · indexed
543. Eye detection for a real-time vehicle driver fatigue monitoring system ↗ · 2011 · Coetzer, R.C. et al. · indexed
544. Eye Gaze Entropy Reflects Individual Experience in the Context of Driving ↗ · 2025 · Arutyunova, Karina et al. · indexed
545. Eye Movement Detection for Assessing Driver Drowsiness by Electrooculography ↗ · 2013 · Ebrahim, Parisa et al. · indexed
546. Eye Movement-Based Inference of Truck Driver's Intent of Changing Lanes ↗ · 2009 · Zhou, Huiping et al. · indexed
547. Characteristics of Eye Movements and Correlation to Cognitive Functions in Relation to the Location of Guide Signs and Driving Speed ↗ · 2026 · Maeyama, Takaya et al. · indexed
548. Context-dependent modulation of spatial attention: prioritizing behaviourally relevant stimuli · 2025 · Britt, Noah et al. · archived
549. The influence of alcohol and automation on drivers visual behavior during test track driving · 2023 · Tivesten, Emma · archived
550. A New Real-Time Eye Tracking for Driver Fatigue Detection ↗ · 2006 · Zhang, Zutao et al. · indexed
551. Face salient points and eyes tracking for robust drowsiness detection ↗ · 2011 · Jimenez-Pinto, J. et al. · indexed
552. Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation ↗ · 2024 · Goodridge, Courtney M. et al. · indexed
553. Predicting Future Driving Decisions in an Accident Situation From Videos: A Combined Behavioral, Eye Gaze, and Computational Analysis ↗ · 2024 · Ryu, Hoe Sung et al. · indexed
554. The Eye Tracking and Driving Behavior ↗ · 2007 · Zhao, Liang et al. · indexed
555. Do Expert Gaze Patterns Causally Improve Lap Times in Circuit Driving? ↗ · 2026 · Yasuda, Hiroshi et al. · indexed
556. Differences in the Gaze Behaviours of Pedestrians Navigating between Regular and Irregular Road Patterns ↗ · 2020 · Liu, Bing et al. · indexed
557. Comparing Eye-tracking System Effectiveness in Field and Driving Simulator Studies ↗ · 2023 · Calvi, Alessandro et al. · indexed
558. Optimization Algorithm for Driver Monitoring System using Deep Learning Approach ↗ · 2020 · Yoo, Min Woo et al. · indexed
559. Entropy-Based Effect Evaluation of Delineators in Tunnels on Drivers’ Gaze Behavior ↗ · 2020 · Han, Xueyan et al. · indexed
560. Facial recognition system for driver vigilance mlonitoring ↗ · 2005 · Dikkers, H.J. et al. · indexed
561. State of the Art in Drivers’ Attention Monitoring – A Systematic Literature Review ↗ · 2023 · Al-Gburi, Sama Hussein et al. · indexed
562. A method of driving fatigue detection based on eye location ↗ · 2011 · Li, Liling et al. · indexed
563. Evaluating Gaze Behavior of Drivers in a Mixed Autonomous Driving Traffic Flow Based on Spatial-Temporal Analysis and Causal Reasoning ↗ · 2022 · Chai, Chen et al. · indexed
564. Detecting Driver Drowsiness Using Eye State ↗ · 2018 · Liu, Xuefei et al. · indexed
565. Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments ↗ · 2017 · Bodala, Indu P. et al. · indexed
566. Evaluation of steering model depending on gazing distance by using driving simulator ↗ · 2016 · Shida, Yuki et al. · indexed
567. Modeling the Effect of Subtask Boundaries on Driver Glance Behavior ↗ · 2017 · Lee, Ja Young et al. · indexed
568. Recognizing driver inattention by convolutional neural networks ↗ · 2015 · Yan, Chao et al. · indexed
569. The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention ↗ · 2022 · Jha, Sumit et al. · indexed
570. A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures ↗ · 2024 · Kolus, Ahmet · indexed
571. Driver alert state and fatigue detection by salient points analysis ↗ · 2009 · Jimenez-Pinto, Javier et al. · indexed
572. Modeling eye movement in dynamic interactive tasks for maximizing situation awareness based on Markov decision process ↗ · 2022 · Ma, Shuo et al. · indexed
573. Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users ↗ · 2019 · Moroto, Yuya et al. · indexed
574. Do drivers’ gaze behaviors differ between special road sections of mountainous expressways? A comparative study of long downhill and tunnel sections ↗ · 2026 · Meng, Yunwei et al. · indexed
575. Context-Dependent Modulations of Spatial Attention: A Simulated Driving Task ↗ · 2024 · Britt, Noah et al. · indexed
576. Gated Driver Attention Predictor ↗ · 2023 · Zhao, Tianci et al. · indexed
577. Driver Gaze Behavior in Critical Cornering ↗ · 2006 · Nozaki, Hiromichi · indexed
578. Eye Blink Detection- A New System for Driver Drowsiness and Distraction Detection ↗ · 2024 · Journal, IJSREM · indexed
579. Look at the Driver, Look at the Road: No Distraction! No Accident! ↗ · 2014 · Rezaei, Mahdi et al. · indexed
580. Prediction of Crash Risk based on Driving Behaviour ↗ · 2022 · Manjunath, Abhijna · indexed
581. Tracking-based detection of driving distraction from vehicular interior video ↗ · 2016 · Billah, Tashrif et al. · indexed
582. Steering performance is influenced by road width, road curvature and gaze behaviour ↗ · 2010 · Wilkie, R. et al. · indexed
583. Driver blink measurement by the motion picture processing and its application to drowsiness detection ↗ · 2003 · Ito, T. et al. · indexed
584. Decoding Covert Visual Attention in Space and Time from Neural Signals · 2025 · Hamed, Suliann Ben · archived
585. European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving ↗ · 2023 · Mulhall, Megan et al. · indexed
586. Driver Attention And The Built Environment Initial, Findings From A Naturalistic Driving Study ↗ · 2021 · Tice, Patricia et al. · indexed
587. SCANNING FOR CRITICAL EVENTS DURING DRIVING: VISUAL SCANNING USING EYE TRACKING TECHNOLOGY ON A DRIVING SIMULATOR ↗ · 2019 · Dickerson, Anne E et al. · indexed
588. Driver Drowsiness Detection System Based on Eye State Analysis · 2024 · C, Pavilaa. · archived
589. Automatic processing of a car driver eye scanning movements on a simulated highway driving context ↗ · 2002 · Popieul, J.-C. et al. · indexed
590. Can We Distinguish Driver’s Age Based on Their Eye Movements? ↗ · 2023 · Thai, Jason et al. · indexed
591. Lookie Here! Designing Directional User Indicators across Displays in Conditional Driving Automation ↗ · 2020 · Nair, Pranav et al. · indexed
592. Markov Chain Analysis of Gaze Transitions: Assessing Attention Management in SAE Level 3 Automated Driving ↗ · 2024 · Pardo, Jorge et al. · indexed
593. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
594. Driver fatigue discrimination method based on visual features ↗ · 2022 · Zhang, Shuwei et al. · indexed
595. Trust Impacts Driver Glance Strategy in Multitasking ↗ · 2017 · Sawyer, Ben D. et al. · indexed
596. Driver Distraction Detection Based on the True Driver’s Focus of Attention ↗ · 2022 · Huang, Tao et al. · indexed
597. Limitations on the use of eye-tracking data to understand operator awareness ↗ · 2023 · Mumaw, Randall et al. · indexed
598. Automatic detection of mind wandering in a simulated driving task with behavioral measures · 2018 · Zhang, Yuyu et al. · archived
599. Eye recognition in near-infrared images for driver's drowsiness monitoring ↗ · 2013 · Cyganek, Boguslaw et al. · indexed
600. On-road driver eye movement tracking using head-mounted devices ↗ · 2002 · Sodhi, M. et al. · indexed
601. Study on Vision Monitoring Techniques of Driver Fatigue and Loosing Alertness ↗ · 2007 · Zhang, M. H. et al. · indexed
602. A new system for driver drowsiness and distraction detection ↗ · 2012 · Sabet, Mehrdad et al. · indexed
603. Driver Eye Location and State Estimation Based on a Robust Model and Data Augmentation ↗ · 2021 · Ling, Yancheng et al. · indexed
604. A Novel Method for Identifying the Drowsiness while Driving ↗ · 2015 · B., Hemantkumar et al. · indexed
605. Secondary task boundaries influence drivers' glance durations ↗ · 2015 · Lee, Ja Young et al. · indexed
606. A Novel Way of Optimizing Headlight Distributions Based on Real-Life Traffic and Eye Tracking Data Part 3: Driver Gaze Behaviour on Real Roads and Optimized Light Distribution ↗ · 2023 · Kobbert, Jonas et al. · indexed
607. Research on the standard status and test methods of driver attention monitoring system ↗ · 2021 · Zhang, Jinchong et al. · indexed
608. Towards a Driver Monitoring System for Estimating Driver Situational Awareness ↗ · 2019 · Hijaz, Ala’aldin et al. · indexed
609. Driver Behavioral Classification on Curves Based on the Relationship between Speed, Trajectories, and Eye Movements: A Driving Simulator Study · 2022 · Rondora, Maria Emilia Schio et al. · archived
610. Testing the effects of gaze distractors with invariant spatial direction on attention cueing · 2024 · Dalmaso, Mario et al. · archived
611. Driver fatigue detection based on the distance of eyelid ↗ · 2005 · Wenhui Dong et al. · indexed
612. Retraction Notice: Convolutional Neural Network based Driver Fatigue Recognition by Utilizing the Facial Features ↗ · 2022 · Suseela, S et al. · indexed
613. Visual attention based roi maps from gaze tracking data ↗ · 2005 · Nguyen, A. et al. · indexed
614. Keep your hands on the wheel: The effect of driver supervision strategy on change detection, mind wandering, and gaze behavior ↗ · 2023 · Amre, Shruti M. et al. · indexed
615. Review of Eye-related Measures of Drivers’ Mental Workload ↗ · 2015 · Marquart, Gerhard et al. · indexed
616. Spatio-Temporal Gaze Analysis in VR: Comparing Guided and Free Navigation while Driving ↗ · 2025 · Sun, Xiaoxiao et al. · indexed
617. Real-Time Driver Fatigue Detection Based on Eye State Recognition ↗ · 2013 · Sun, Chao et al. · indexed
618. The role of gaze and road edge information during high-speed locomotion. ↗ · 2012 · Kountouriotis, Georgios K. et al. · indexed
619. Real-Time Vision-Based Driver Drowsiness/Fatigue Detection System ↗ · 2010 · Yao, K. P. et al. · indexed
620. Driver Attention Prediction Based on Adaptive Fusion of Cross-Modal Features ↗ · 2026 · Zhang, Mingfang et al. · indexed
621. Driver Monitoring System based on Distracted Driving Decision Algorithm ↗ · 2022 · Jeon, Sehwan et al. · indexed
622. Cross-Environment Consistency of Driver Vigilance Under Visual Restriction: Eye-Tracking Evidence from Real and Simulated Driving ↗ · 2026 · Ding, Jie et al. · indexed
623. Modeling the effects of perisaccadic attention on gaze statistics during scene viewing ↗ · 2020 · Schwetlick, Lisa et al. · indexed
624. Eye-Tracking Indices of Cognitive Load Predict Reaction Time to Urban Traffic Hazards: Machine Learning Classification and Regression Across Manual and Level 2 Assisted Driving ↗ · 2026 · Qin, Hao et al. · indexed
625. A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection ↗ · 2014 · Sigari, Mohamad-Hoseyn et al. · indexed
626. Gaze-controlled driving ↗ · 2009 · Tall, Martin et al. · indexed
627. Driver Attention Area Extraction Method Based on Deep Network Feature Visualization ↗ · 2020 · Han, Guodong et al. · indexed
628. Visual Attention During Simulated Autonomous Driving in the US and Japan ↗ · 2017 · Shinohara, Yumiko et al. · indexed
629. Estimation of mental workload during automobile driving based on eye-movement measurement with a visible light camera · 2020 · CHIHARA, Takanori et al. · archived
630. On-line identification of driver state for lane-keeping tasks ↗ · 2005 · Pilutti, T. et al. · indexed
631. FBLNet: FeedBack Loop Network for Driver Attention Prediction ↗ · 2023 · Chen, Yilong et al. · indexed
632. Off-Road Glance Behavior, Response Time to a Forward Collision Hazard, and Engagement Strategy Effects in Automated Driving ↗ · 2017 · Blommer, Mike et al. · indexed
633. Differential effects of road situations and driving behaviors on eye movements in experienced and novice drivers ↗ · 2013 · Li, L. et al. · indexed
634. The role of uncertainty and reward on eye movements in a virtual driving task ↗ · 2012 · Sullivan, B. T. et al. · indexed
635. Fatigue driving detection based on electrooculography: a review ↗ · 2021 · Tian, Yuanyuan et al. · indexed
636. Drivers’ visual scanning behavior at signalized and unsignalized intersections: A naturalistic driving study in China ↗ · 2019 · Li, Guofa et al. · indexed
637. Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task ↗ · 2022 · Aygun, Ayca et al. · indexed
638. Keep Your Scanners Peeled ↗ · 2016 · Hergeth, Sebastian et al. · indexed
639. The Study of Driver Distraction Characteristic Detection Technology ↗ · 2010 · Zhiqiang, Liu et al. · indexed
640. Unequal allocation of overt and covert attention in Multiple Object Tracking ↗ · 2022 · Hadjipanayi, Veronica et al. · indexed
641. Driver Fatigue Detection Based on Eye Locating Algorithm ↗ · 2014 · Wu, Wei · indexed
642. Driver Distraction Detection Based on Large Kernel Convolution and Attention Mechanism ↗ · 2026 · Wang, Tao et al. · indexed
643. Modeling the role of salience in the allocation of overt visual attention ↗ · 2002 · Parkhurst, Derrick et al. · indexed
644. Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al. · archived
645. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al. · archived
646. Retracted: Convolutional Neural Network based Driver Fatigue Recognition by Utilizing the Facial Features ↗ · 2022 · Suseela, S et al. · indexed
647. A systematic study of driver steering behaviour ↗ · 1981 · REID, L. D. et al. · indexed
648. Driver Monitoring System using an Embedded Computer Platform ↗ · 2023 · Rimal, Rajesh et al. · indexed
649. An Improved Real Time Eye State Identification System in Driver Drowsiness Detection ↗ · 2007 · Tianyi Hong et al. · indexed
650. 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
651. Driving Attention State Detection Based on GRU-EEGNet ↗ · 2024 · Wu, Xiaoli et al. · indexed
652. Driver Drowsiness Detection Based on Eye Analysis ↗ · 2018 · Ursulescu, Oana et al. · indexed
653. Discriminating cognitive processes with eye movements in a decision-making driving task. ↗ · 2014 · Lemonnier, Sophie et al. · indexed
654. Pilot Study on Gaze Characteristics of Older Drivers While Watching Driving Movies ↗ · 2024 · Kawabata, Kaori et al. · indexed
655. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
656. Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi · indexed
657. Differences in gaze behavior between driving instructors and older adults during viewing of virtual reality driving videos ↗ · 2025 · Noguchi, Yuta et al. · indexed
658. A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration ↗ · 2019 · You, Feng et al. · indexed
659. Which visual cues do drivers use to anticipate and slow down in freeway curve approach? An eye-tracking, think-aloud on-road study ↗ · 2023 · Vos, Johan et al. · indexed
660. Application to Detect Driver Distraction Using Haar Cascade Method ↗ · 2023 · Zainuddin, Natasyha et al. · indexed
661. 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
662. A visual comparison of gaze behavior from pedestrians and cyclists ↗ · 2018 · Trefzger, Mathias et al. · indexed
663. Estimation of driver attention using Visually Evoked Potentials ↗ · 2007 · Reddy, B Srinath et al. · indexed
664. Observed Driver Glance Behavior at Roadside Advertising Signs ↗ · 2004 · Beijer, Daan et al. · indexed
665. Drivers’ Psycho-Physiology Characteristics and Workload Identification in Prairie Highway Work Zones ↗ · 2026 · Lyu, Zhen et al. · indexed
666. Estimation of Older Driver's Cognitive Performance and Workload Using Features of Eye movement and Pupil Response on Test Routes ↗ · 2022 · Nakayama, Minoru et al. · indexed
667. 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
668. An analysis of the suitability of a low-cost eye tracker for assessing the cognitive load of drivers ↗ · 2018 · Čegovnik, Tomaž et al. · indexed
669. A Driver Face Monitoring System for Fatigue and Distraction Detection ↗ · 2013 · Sigari, Mohamad-Hoseyn et al. · indexed
670. Finding Workload in the Wild: Recovering Latent Cognitive Dynamics Jointly from Eye Metrics and Driving Telemetry ↗ · 2026 · Yamashita, Jumpei et al. · indexed
671. The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving ↗ · 2022 · Gonçalves, Rafael C. et al. · indexed
672. Predicting Cartographic Symbol Location with Eye-Tracking Data and Machine Learning Approach ↗ · 2025 · Cybulski, Paweł · indexed
673. Drowsy Driver Warning for Accident-Avoidance System Using Image Processing · 2022 · Bhagwat, Kiran et al. · archived
674. Review of real-time visual driver distraction detection algorithms ↗ · 2010 · Ahlström, Christer et al. · indexed
675. Monitoring driver fatigue using facial analysis techniques ↗ · 2003 · Singh, S. et al. · indexed
676. Eyeblink detection for wearable eye trackers in real-world environments ↗ · 2026 · Nishizono, Ryota et al. · indexed
677. Attention-Driven Convolutional Neural Network for Real-Time Driver Drowsiness and Inattention Awareness ↗ · 2026 · Kate, Chennaiah et al. · indexed
678. Driver drowsiness estimation by fusion of lane and eye features using a multilevel evidence theory ↗ · 2013 · Li, Xuanpeng et al. · indexed
679. Can Drowsiness be seen in the eyes? A new detection method of driver drowsiness levels based on eye-tracking data ↗ · 2025 · Zhang, Runlin et al. · indexed
680. Driver Fatigue Detection Based on Eye Tracking ↗ · 2008 · Devi, Mandalapu Sarada et al. · indexed
681. Modeling driver behavior in critical traffic scenarios for the safety assessment of automated driving ↗ · 2023 · Fries, Alexandra et al. · indexed
682. Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment ↗ · 2020 · Zheng, Wei-Long et al. · indexed
683. Humans use Optokinetic Eye Movements to Track Waypoints for Steering ↗ · 2020 · Lappi, Otto et al. · indexed
684. Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al. · indexed
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687. Driver Vigilance State Estimation Based on Multisource Data ↗ · 2023 · Guo, Zizheng et al. · indexed
688. Vision based eye closeness classification for driver’s distraction and drowsiness using PERCLOS and support vector machines ↗ · 2019 · Mohd Zin, Zalhan et al. · indexed
689. Guiding Driver Visual Attention with LEDs ↗ · 2017 · Schmidt, Gerald J. et al. · indexed
690. Driver drowsiness recognition based on computer vision technology ↗ · 2012 · Zhang, Wei et al. · indexed
691. Design and Implementation of an Image-Based Driver Attention Warning System on Low-Cost DSP Platform ↗ · 2010 · Liao, Yu-Sheng et al. · indexed
692. Characteristics of eye movements and correlation to cognitive functions in relation to the location of guide signs and driving speed ↗ · 2024 · Maeyama, Takaya et al. · indexed
693. Driver Distraction Monitoring and Alerting System ↗ · 2019 · Walavalkar, Abhishek et al. · indexed
694. Eye Tracing in Real-time Fatigue Driving Monitoring System ↗ · 2006 · Yang, Jie et al. · indexed
695. Revisiting visual attention identification based on eye tracking data analytics ↗ · 2016 · Zhang, Yingxue et al. · indexed
696. Driver Eye State Detection using Minimum Intensity Projection - An Application to Driver Fatigue Alertness ↗ · 2015 · Punitha, A. et al. · indexed
697. Eye Movements during Intentional Car following ↗ · 2004 · Crundall, David et al. · indexed
698. Connecting road environment features and driver glance behavior in the macro level: Surrounding vehicle patterns, traffic density, and driver eye-glance behaviors ↗ · 2014 · Tian, Renran et al. · indexed
699. An Effective Driver Fatigue Monitoring System ↗ · 2010 · Zhang, Shanshan et al. · indexed
700. Recognition method of driver's visual distraction based on pupil diameter ↗ · 2018 · Guo, Weiwei et al. · indexed
701. Driver Fatigue Detection System Based on Eye Movements ↗ · 2013 · Niu, Qingning et al. · indexed
702. 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
703. Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data ↗ · 2020 · Chihara, Takanori et al. · indexed
704. Gaze Entropy and Driver Safety: Understanding Cognitive Failure and Situational Response Before Take-over ↗ · 2025 · Chang, Mi et al. · indexed
705. Relationship Between Gaze Behavior and Steering Performance for Driver–Automation Shared Control: A Driving Simulator Study ↗ · 2019 · Wang, Zheng et al. · indexed
706. Assessing the Mental States of Fallback-Ready Drivers in Automated Driving by Electrooculography ↗ · 2019 · Wu, Yanbin et al. · indexed
707. Classifying Cognitive Load and Driving Situation with Machine Learning ↗ · 2014 · Yoshida, Yutaka et al. · indexed
708. A Multi-Task CNN Framework for Driver Face Monitoring ↗ · 2018 · Celona, Luigi et al. · indexed
709. Automatic Driver Head State Estimation in Challenging Naturalistic Driving Videos ↗ · 2017 · Smith, Brandon M. et al. · indexed
710. Eye tracking system to detect driver drowsiness ↗ · 2015 · Nguyen, T. P. et al. · indexed
711. A new rapid algorithm for driver face organ detection ↗ · 2008 · Guo, Keyou et al. · indexed
712. A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al. · indexed
713. Using Eye-Tracking Technology to Compare Hazard Detection on the Road Versus a Driving Simulator at Night Across Two Age Groups ↗ · 2020 · Leonardo, Juliette et al. · indexed
714. Eyelid-based driver state classification under simulated and real driving conditions ↗ · 2014 · Ebrahim, Parisa et al. · indexed
715. A novel information fusion based FTT algorithm for a driver fatigue monitoring system ↗ · 2010 · Yang, Qiufen et al. · indexed
716. Decoding Visual Attention: from 3D Gaze to Social Gaze inference in Everyday Scenes ↗ · 2024 · Odobez, Jean-Marc · indexed
717. Evaluating Driver Mental Workload in a Realistic Condition using Eye Movement Sensor ↗ · 2018 · Son, Le Anh et al. · indexed
718. Intelligent driver monitoring systems: a survey of drowsiness detection technologies for road safety ↗ · 2026 · Hassan, Osama F. et al. · indexed
719. Realtime Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Al Redhaei, Aneesa et al. · indexed
720. 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
721. Monocular free-head gaze tracking method for driving electric sickbed ↗ · 2023 · Hu, Jiahui et al. · indexed
722. Physiological measurement used in real time experiment to detect driver cognitive distraction ↗ · 2014 · Azman, Afizan et al. · indexed
723. Efficient Car Alarming System for Fatigue Detection during Driving ↗ · 2012 · Khan, Muhammad · indexed
724. Driver inattention detection methods: A review ↗ · 2012 · Arun, S et al. · indexed
725. Real-Time Eye-Tracking System to Evaluate and Enhance Situation Awareness and Process Safety in Drilling Operations ↗ · 2018 · Kiran, Raj et al. · indexed
726. SADNet: sustained attention decoding in a driving task by self-attention convolutional neural network ↗ · 2024 · Lai, Shuzhong et al. · indexed
727. Creating Scanning Pattern Maps of Driver Fixations During Hazards ↗ · 2013 · Hardy, A. F. et al. · indexed
728. Driver cognitive distraction detection: Feature estimation and implementation ↗ · 2007 · Kutila, M H et al. · indexed
729. Assessment of Driver Inattention State using Multimodal Attentive Feature Fusion ↗ · 2025 · Pavan, Kaveti et al. · indexed
730. What does the driver look at? The influence of intersection characteristics on attention allocation and driving behavior ↗ · 2011 · Werneke, Julia et al. · indexed
731. Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue ↗ · 2004 · Ji, Q. et al. · indexed
732. Drowsiness Detection Using Ocular Indices from EEG Signal ↗ · 2022 · Tarafder, Sreeza et al. · indexed
733. Eye Glance Behavior of van and Passenger Car Drivers during Lane Change Decision Phase ↗ · 2005 · Tijerina, Louis et al. · indexed
734. A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al. · archived
735. An Attention Deep Learning Framework Based Drowsiness Detection Model for Intelligent Transportation System ↗ · 2022 · Ganguly, Biswarup et al. · indexed
736. Research on Specific Eye Movement Mode of Qualified Railway Driver ↗ · 2019 · Sun, Chenzhe et al. · indexed
737. Practical aspects of measuring camera‐based indicators of alcohol intoxication in manual and automated driving ↗ · 2024 · Zemblys, Raimondas et al. · indexed
738. Visual anticipation of the future path: Predictive gaze and steering ↗ · 2021 · Tuhkanen, Samuel et al. · indexed
739. An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Tech Brief] · 2009 · NHTSA · archived
740. ResNet50 Architecture and AttenD Algorithm-based Driver Distraction Detection Method ↗ · 2025 · Liu, Xiaoyang et al. · indexed
741. Interpretable Quantification of Scene-Induced Driver Visual Load: Linking Eye-Tracking Behavior to Road Scene Features via SHAP Analysis ↗ · 2025 · Ni, Jie et al. · indexed
742. Camera-based drowsiness reference for driver state classification under real driving conditions ↗ · 2010 · Friedrichs, Fabian et al. · indexed
743. Ambient and focal attention during complex problem-solving: preliminary evidence from real-world eye movement data ↗ · 2024 · Guo, Yuxuan et al. · indexed
744. A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content ↗ · 2022 · Hu, Zhongxu et al. · indexed
745. Driving Alertness System Using Deep Learning · 2024 · Vaidya, Prof. R. S. · archived
746. All In One Network for Driver Attention Monitoring ↗ · 2020 · Yang, Dawei et al. · indexed
747. Determining Fixed Glance Duration for Visual Occlusion Research ↗ · 2011 · Chen, Huei-Yen Winnie et al. · indexed
748. Driver fatigue surveillance via eye detection ↗ · 2014 · Chang, Tang-Hsien et al. · indexed
749. GA-XGBoost Driving Distraction State Classification Model Based on Non-Driving Related Tasks ↗ · 2022 · Bai, Yajie et al. · indexed
750. Tracking Driver Eye Movements at Permissive Left-Turns ↗ · 2005 · Knodler, Michael A et al. · indexed
751. Driver-Activity Recognition in the Context of Conditionally Autonomous Driving ↗ · 2015 · Braunagel, Christian et al. · indexed
752. A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera ↗ · 2026 · Kareem, Emad · indexed
753. Drowsiness Classification for Internal Driving Situation Awareness on Mobile Platform · 2021 · Nine, Julkar et al. · archived
754. Effective Estimation of Driver Drowsiness Based on Eye Status Detection and Analysis ↗ · 2014 · Mukherjee, Kingshuk et al. · indexed
755. Investigating Shifts in Driver Attention and Trust Across Manual and Autonomous Driving: Insights from Eye-Tracking Metrics ↗ · 2025 · Cai, Yuan et al. · indexed
756. Using a Layered Algorithm to Detect Driver Cognitive Distraction ↗ · 2013 · Liang, Yulan et al. · indexed
757. Characterizing eye gaze and mental workload for assistive device control ↗ · 2025 · Loke, Larisa Y.C. et al. · indexed
758. A Study on the Driver-Vehicle Interaction System in Autonomous Vehicles Considering Driver’s Attention Status ↗ · 2022 · Song, Yein et al. · indexed
759. HyHOPE: Hybrid Head Orientation and Position Estimation for vision-based driver head tracking ↗ · 2008 · Murphy-Chutorian, Erik et al. · indexed
760. Study on driver fatigue and loosing alertness based on machine vision ↗ · 2010 · Zhang Ming-heng et al. · indexed
761. Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion ↗ · 2023 · Mou, Luntian et al. · indexed
762. Driver Eye Movement During a Route Navigation Information Search ↗ · 2001 · Li, Guangyan et al. · indexed
763. A Review of Fatigue Driving Detection Based on Electrooculogram ↗ · 2021 · Tian, Yuanyuan et al. · indexed
764. Analysis of Driver Drowsiness Detection using EEG and EOG · 2018 · K Firke, Omprakash et al. · archived
765. Driver inattention detection through intelligent analysis of readily available sensors ↗ · 2005 · Torkkola, K. et al. · indexed
766. Tracking drivers’ minds: Continuous evaluation of mental load and cognitive processing in a realistic driving simulator scenario by means of the EEG ↗ · 2023 · Wascher, Edmund et al. · indexed
767. Classifying Driver Attention Level Using Logistic Regression and Support Vector Machine ↗ · 2021 · Farhat, Ana et al. · indexed
768. On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights · 2020 · Siddharth, Siddharth et al. · archived
769. An EOG-based Vigilance Estimation Method Applied for Driver Fatigue Detection ↗ · 2015 · Ma, Jia-Xin et al. · indexed
770. An Experimental Study on Drivers’ Eye Movement Behavior When Using an Automated Lane Change System ↗ · 2025 · Guan, Muhua et al. · indexed
771. Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al. · indexed
772. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism ↗ · 2021 · Zhu, Haibei et al. · indexed
773. Driver Attention Detection Based on Improved YOLOv5 ↗ · 2023 · Wang, Zhongzhou et al. · indexed
774. Gaze Behavior and Visual Attention: A Review of Eye Tracking Studies in Aviation ↗ · 2016 · Ziv, Gal · indexed
775. Direct gaze captures visuospatial attention ↗ · 2005 · Senju, Atsushi et al. · indexed
776. Driver's Drowsiness Monitoring and Alarming Auto-System Based on EOG Signals ↗ · 2019 · Hayawi, Ali Amer et al. · indexed
777. Driver's adaptive glance behavior to in-vehicle information systems ↗ · 2015 · Peng, Yiyun et al. · indexed
778. Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al. · indexed
779. Vision Transformer-Based Real-Time Driver Drowsiness Monitoring with Enhanced Safety Performance ↗ · 2026 · Reddy, Anduri Manisha et al. · indexed
780. Detecting Driver Fatigue With Eye Blink Behavior · 2024 · Akin, Ali et al. · archived
781. An irrelevant look of novice tram driver ↗ · 2023 · Warchol-Jakubowska, Anna et al. · indexed
782. Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration ↗ · 2020 · Unverricht, James et al. · indexed
783. The visual control of bicycle steering: The effects of speed and path width ↗ · 2013 · Vansteenkiste, Pieter et al. · indexed
784. Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion ↗ · 2024 · Yang, Haohan et al. · indexed
785. Eye movement and brake reactions to real world brake-capacity forward collision warnings—A naturalistic driving study ↗ · 2013 · Wege, Claudia et al. · indexed
786. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
787. Driver monitoring for a human-centered driver assistance system ↗ · 2006 · McCall, Joel et al. · indexed
788. Real-time eyelid open/closed state recognition based on HLAC towards driver drowsiness detection ↗ · 2014 · Ishii, Y. et al. · indexed
789. Modeling stimulus‐driven attentional selection in dynamic natural scenes ↗ · 2008 · Lázár, Anna et al. · indexed
790. Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures ↗ · 2022 · He, Dengbo et al. · indexed
791. Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis ↗ · 2010 · Moore, Kristin et al. · indexed
792. EEG-based Driver Fatigue Detection with Eye-tracking Guided Weak Supervision · 2026 · Xu, Fenglin et al. · archived
793. Distracting or informative? Examining signage for cyclists using eye-tracking · 2022 · Aasvik, Ole et al. · archived
794. Kalman Filtering to Track Changes in Pupil Size for Automated Driving Systems ↗ · 2021 · Pillai, Prarthana et al. · indexed
795. AI-enabled driver assistance: monitoring head and gaze movements for enhanced safety ↗ · 2025 · Mudassar Shah, Sayyed et al. · indexed
796. Hard Spatio-Multi Temporal Attention Framework for Driver Monitoring at Nighttime ↗ · 2023 · Abdullah, Karam et al. · indexed
797. A Link Between Trust in Technology and Glance Allocation in On-Road Driving · 2017 · Geitner, Claudia et al. · archived
798. An Overview and Evaluation of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems ↗ · 2014 · Lopar, Markan et al. · indexed
799. Comparing Pupil Dilation, Head Movement, and EEG for Distraction Detection of Drivers ↗ · 2018 · Prabhakar, Gowdham et al. · indexed
800. Driver assistance for “Keeping Hands on the Wheel and Eyes on the Road” ↗ · 2009 · Tran, Cuong et al. · indexed
801. Real-time driver fatigue detection based on simplified landmarks of AAM ↗ · 2010 · Hua-Zhi Dong et al. · indexed
802. Impact of Video Advertising on Driver Fixation Patterns ↗ · 2004 · Smiley, Alison et al. · indexed
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805. Driver Drowsiness Identification by Means of Passive Techniques for Eye Detection and Tracking ↗ · 2010 · Cristiani, Andrea et al. · indexed
806. Beyond Breathalyzers: Towards Pre-Driving Sobriety Testing with a Driver Monitoring Camera · 2025 · Stent, Simon et al. · archived
807. Theory-based Models of Attention in Visual Workspaces ↗ · 2016 · Steelman, Kelly S. et al. · indexed
808. Top-down control of visual attention in object detection · 2004 · Oliva, Aude et al. · archived
809. Spatial attention and saccadic camera motion ↗ · 2002 · Clark, J.J. · indexed
810. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
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812. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
813. Eye-movements during the perception of dangerous driving among drivers of different age and social groups ↗ · 2018 · Polikarpova, M.S. · indexed
814. Driver Fatigue Detection Based on Eye Status ↗ · 2010 · Zhao, Sanyuan et al. · indexed
815. Quantification of Alertness and Evaluation Method for Vision Based Driver Drowsiness and Alertness Warning System ↗ · 2024 · Balasubrahmanyan, Chappagadda et al. · indexed
816. Real-time driver fatigue detection based on face alignment ↗ · 2017 · Tao, Huanhuan et al. · indexed
817. Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat ↗ · 2016 · S. Aghaei, Amirhossein et al. · indexed
818. Decision Anticipation for Driving Assistance Systems ↗ · 2020 · Amadori, Pierluigi Vito et al. · indexed
819. A new index of visual information search while driving ↗ · 2011 · Wang, Fang · indexed
820. Impact of duration of monitoring before takeover request on takeover time with insights into eye tracking data ↗ · 2023 · Huang, Chao et al. · indexed
821. Driver eye movements in relation to unfamiliar traffic signs: An eye tracking study ↗ · 2020 · Babić, Dario et al. · indexed
822. Real-time robust face tracking for driver monitoring ↗ · 2006 · Nuevo, J. et al. · indexed
823. Modeling the influence of action on spatial attention in visual interactive environments ↗ · 2012 · Borji, Ali et al. · indexed
824. Eye Movement of Chinese Experienced Drivers and Novice Drivers ↗ · 2012 · Jiang, Jun et al. · indexed
825. Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals ↗ · 2023 · Aminosharieh Najafi, Taraneh et al. · indexed
826. SEEV Modeler: A GUI-Based Tool for the SEEV Model Simulation ↗ · 2021 · Rheem, Hansol et al. · indexed
827. Differentiating Endogenous and Exogenous Attention Shifts Based on Fixation-Related Potentials ↗ · 2022 · Vortmann, Lisa-Marie et al. · indexed
828. Detecting driver fatigue through the use of advanced face monitoring techniques · 2001 · Veeraraghavan, Harini et al. · archived
829. Investigating the influence of eye-catching effect on mental workload in highway tunnel entrances: a comprehensive analysis of eye blink behavior ↗ · 2024 · Han, Lei et al. · indexed
830. Prediction of visual attention in embodied real-world tasks ↗ · 2021 · Harston, J. Alex et al. · indexed
831. Evaluation of Drivers’ Attention Level by a Driving Simulator ↗ · 2012 · Bartolozzi, Riccardo et al. · indexed
832. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
833. Exploring visual language models for driver gaze estimation: A task-based approach to debugging AI ↗ · 2026 · Cañas, Paola Natalia et al. · indexed
834. Role-dependent allocation of visual attention in dual-crew manual flight operations ↗ · 2026 · Zheng, Xiaodan et al. · indexed
835. Can Pupillometry be used to Detect Driver Hazard Awareness? ↗ · 2024 · Tamura, Kimimasa et al. · indexed
836. Recherche d'indicateurs d'inattention en conduite automobile : apports des mesures physiologiques et comportementales ↗ · 2026 · Pepin, Guillaume · indexed
837. Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework ↗ · 2025 · Pavan, Kaveti et al. · indexed
838. Gaze detection based driver modelization in an electric vehicle using virtual force field and Steer by Wire system ↗ · 2014 · Rouzier, Baptiste et al. · indexed
839. Driver Safety Monitoring: Real-Time Detection Of Distraction And Drowsiness ↗ · 2024 · Dhanapandi, V et al. · indexed
840. Toward detection of unsafe driving with inertial head-mounted sensors ↗ · 2016 · Karatas, Cagdas et al. · indexed
841. A Two-Point Visual Control Model of Steering ↗ · 2004 · Salvucci, Dario D et al. · indexed
842. A real-time system for monitoring driver fatigue ↗ · 2016 · Li, Yao-hua et al. · indexed
843. 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
844. Effect of driving experience on anticipatory look-ahead fixations in real curve driving ↗ · 2014 · Lehtonen, Esko et al. · indexed
845. The effects of task difficulty on gaze behaviour during landing with visual flight rules in low-time pilots · 2023 · Ayala, Naila et al. · archived
846. Embedded System for Inattention Detection in Driving Task ↗ · 2020 · Castro, Ángel Arturo Rendón et al. · indexed
847. Towards Real-time Probabilistic Evaluation of Situation Awareness from Human Gaze in Human-Robot Interaction ↗ · 2017 · Paletta, Lucas et al. · indexed
848. Visual behaviour of train drivers: a comparative analysis of ETCS and a lineside signalling system ↗ · 2025 · Olsson, Niklas et al. · indexed
849. Is gaze following purely reflexive or goal-directed instead? Revisiting the automaticity of orienting attention by gaze cues ↗ · 2012 · Ricciardelli, Paola et al. · indexed
850. Visual Eye Gaze While Cycling: Analyzing Eye Tracking at Signalized Intersections in Urban Conditions ↗ · 2019 · Rupi, Federico et al. · indexed
851. How Facial Features Convey Attention in Stationary Environments · 2022 · Domantay, Janelle et al. · archived
852. A Lightweight Architecture For Driver Status Monitoring Via Convolutional Neural Networks ↗ · 2019 · He, Jinyang et al. · indexed
853. Detecting intermittent steering activity: Development of a phase-detection algorithm ↗ · 2012 · Chaves, Hugo M. Da Silva Peixoto de Aboim et al. · indexed
854. Detecting driver drowsiness and distraction via FFT ↗ · 2011 · Qin, Huabiao et al. · indexed
855. The relationship of measures of eye behavior and driving performance under the influence of alcohol ↗ · 2026 · Brown, Timothy et al. · indexed
856. An efficient temporal attention framework for real-time detection of unsafe driver behaviors ↗ · 2025 · Mohsin, Ahmed Raza et al. · indexed
857. Modeling the Control of Attention in Visual Workspaces ↗ · 2011 · Steelman, Kelly S. et al. · indexed
858. DRIVER ALERT AND MONITORING SYSTEM ↗ · 2022 · DUBEY, PROF. K.B · indexed
859. Humans Use Predictive Gaze Strategies to Target Waypoints for Steering ↗ · 2019 · Tuhkanen, Samuel et al. · indexed
860. EyeSync - Real Time Integration of an Eye Tracker in a Driving Simulator Environment ↗ · 2016 · Loeb, Helen S. et al. · indexed
861. From Route-Level Driving Familiarity to Scenario- and Individual-Level Diversity: A Preliminary Human Gaze Study in Simulated Driving ↗ · 2025 · Liu, Haoji et al. · indexed
862. Fixation distance and fixation duration to vertical road signs ↗ · 2018 · Costa, Marco et al. · indexed
863. On-Road Visual Sign Salience, Driver Attention Allocation, and Target Detection Accuracy ↗ · 2017 · Zahabi, Maryam et al. · indexed
864. Saliency assistant driver alerting ↗ · 2013 · Yang, Daiqin et al. · indexed
865. Measurement and prediction of situation awareness in human-robot interaction based on a framework of probabilistic attention ↗ · 2017 · Dini, Amir et al. · indexed
866. Vision-Based Driver Drowsiness and Distraction Detection through Behavioral Indicators of Fatigue ↗ · 2025 · Adhikari, Manoj et al. · indexed
867. A Survey on State-of-the-Art Drowsiness Detection Techniques · 2019 · Ramzan, Muhammad et al. · archived
868. Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya · archived
869. The Combined Effect of Alcohol and Sleepiness on Eye Tracking Features: Implications for Driver Monitoring Systems ↗ · 2025 · Ahlström, Christer et al. · indexed
870. A Fast Method for Monitoring Driver Fatigue Using Monocular Camera ↗ · 2008 · Ma, Hongbiao et al. · indexed
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872. Eyes on the Approach: Eye Tracking Analysis of Pilot Scan Discipline During Simulated Instrument Landing System Approaches and Implications for Safety ETRA023 ↗ · 2026 · Fu, Bo · indexed
873. Real-time evaluation of driver’s alertness on highways ↗ · 2011 · Larue, G. S. et al. · indexed
874. Driver Distraction Monitoring and Adaptive Safety Warning Systems ↗ · 2008 · Hammoud, Riad I. et al. · indexed
875. The Thresholds of Greening Unit Serving Set as an Arousal Task Based on EEG and Eye Movement · 2021 · ZHANG, Yu-Le et al. · archived
876. Vision-Based Driver Alertness Monitoring Using LSTM-Based Cognitive Drift Analysis and Post- Detection Verification ↗ · 2026 · Kavitha, D.N.S.B et al. · indexed
877. Gaze Supervision for Mitigating Causal Confusion in Driving Agents ↗ · 2024 · Biswas, Abhijat et al. · indexed
878. Evaluation of the Total Eyes-off-Road Time Glance Criterion in the NHTSA Visual-Manual Guidelines ↗ · 2016 · Young, Richard A. · indexed
879. Efficient Train Driver Drowsiness Detection on Machine Vision Algorithms ↗ · 2013 · Lin, Zhui et al. · indexed
880. The Influence of Driver’s Age on Glance Allocations during Single-Task Driving and Voice vs. Visual-Manual Radio Tuning ↗ · 2016 · Dobres, Jonathan et al. · indexed
881. Deep Learning-Based Real-Time Driver Cognitive Distraction Detection ↗ · 2025 · Fresta, Matteo et al. · indexed
882. Analysis of Facial and Acoustic Features for Driver Drowsiness Detection ↗ · 2024 · Loni, Deepali Y · indexed
883. Affordable visual driver monitorina svstem for fatigue and monotony ↗ · 2005 · Brandt, T. et al. · indexed
884. Using Facial Features to Detect Driver’s Drowsiness State ↗ · 2023 · Krity, Kaushiki et al. · indexed
885. STFTransNet: A Transformer Based Spatial Temporal Fusion Network for Enhanced Multimodal Driver Inattention State Recognition System ↗ · 2025 · Kim, Minjun et al. · indexed
886. An Adaptive FCW System Based on Driver Attention States ↗ · 2025 · Zhu, Siyuan et al. · indexed
887. Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving ↗ · 2022 · Chen, Weiya et al. · indexed
888. Effect of environmental and eye-tracking information: An Artificial Neural Network-based state machine approach for human driver intention recognition ↗ · 2022 · David, Ruth et al. · indexed
889. User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data ↗ · 2018 · Moroto, Yuya et al. · indexed
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894. Effect of route familiarity on attentional resource allocation during real-world road driving ↗ · 2026 · Choi, Damee et al. · indexed
895. Predicting Operator Workload from Oculometric Data in High-Demand Environments: A Case Study with MATB-II · 2025 · Pogliano, Marco et al. · archived
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897. Residual Attention Capsule Network for Multimodal EEG- and EOG-Based Driver Vigilance Estimation ↗ · 2023 · Pan, Jiahui et al. · indexed
898. Conceptual priorities shape individual gaze patterns during naturalistic visual attention ↗ · 2025 · Haskins, Amanda J et al. · indexed
899. CRNet: A Driver Distraction Detection Model Based on Cascaded ResNet Networks and Attention Mechanisms ↗ · 2025 · Qin, Binbin · indexed
900. A Virtual Reality Driving Simulator with Gaze Tracking for Analyzing Driver’s Behavior ↗ · 2022 · Maruyama, Ryohei et al. · indexed
901. The Application of Visual Attention Mechanism in Road Disaster Identification and early Warning System ↗ · 2013 · Hua, Shu Yue et al. · indexed
902. Driver fatigue detection based on fuzzy fusion ↗ · 2008 · Wenhui Dong et al. · indexed
903. Evaluating driving fatigue detection algorithms using eye tracking glasses ↗ · 2015 · Gao, Xiang-Yu et al. · indexed
904. Real Time Driver Drowsiness Detection System using OpenCV ↗ · 2021 · H, Ritish · indexed
905. Correlation Evaluation of Pilots’ Situation Awareness in Bridge Simulations via Eye‐Tracking Technology ↗ · 2021 · Jiang, Shaoqi et al. · indexed
906. Real Time Driver Drowsiness Monitoring System by Eye Tracking Using Mean Shift Algorithm ↗ · 2019 · Nahar, Lutfun et al. · indexed
907. Drivers drowsiness detection in embedded system ↗ · 2007 · Tianyi Hong et al. · indexed
908. Prevention of coordinated eye movements and steering impairs driving performance ↗ · 2005 · Marple-Horvat, D. E. et al. · indexed
909. Drivers’ Attention Assessment by Blink Rate Measurement from EEG Signals ↗ · 2022 · Affanni, Antonio et al. · indexed
910. Research on Driving Fatigue Detection Based on PERCLOS ↗ · 2017 · ZHANG, CUIQING et al. · indexed
911. In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour ↗ · 2011 · Rakotonirainy, Andry et al. · indexed
912. A Morphological Method for Driver Fatigue Monitoring ↗ · 2024 · Wu, Wen-Yen · indexed
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915. Optimize the Work Zone Safety with Spatial Information Technology and Eye Tracker · 2022 · Liu, Peng et al. · archived
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918. Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts ↗ · 2018 · Guo, Zizheng et al. · indexed
919. A lightweight method for fatigue driving detection based on facial analysis ↗ · 2024 · Jiang, Haokun et al. · indexed
920. Physiological Indices to Predict Driver Situation Awareness in VR ↗ · 2023 · Kim, Gwangbin et al. · indexed
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924. A Novel Real-Time Face Tracking Algorithm for Detection of Driver Fatigue ↗ · 2010 · Yangon, Qiufen et al. · indexed
925. Information Difference of Transfer Entropies between Head Motion and Eye Movement Indicates a Proxy of Driving ↗ · 2023 · Zhang, Runlin et al. · indexed
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928. Real-Time Driver-Drowsiness Detection System Using Facial Features · 2019 · Deng, Wanghua et al. · archived
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930. Methodology for in-the-Wild Driver Monitoring Dataset Formation ↗ · 2022 · Bulygin, Alexandr et al. · indexed
931. Time-Dependency-Aware Driver Distraction Detection Using Linear-Chain Conditional Random Fields ↗ · 2020 · He, Baotian et al. · indexed
932. The driver fatigue monitoring system based on face recognition technology ↗ · 2013 · Luo, Xiao-qing et al. · indexed
933. Driver body condition monitoring system based on human-computer interaction · 2024 · Hou, Zhenyang et al. · archived
934. Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation ↗ · 2020 · Zhuang, Qianyang et al. · indexed
935. Real-Time Eye State Detection System for Driver Drowsiness Using Convolutional Neural Network ↗ · 2020 · Kongcharoen, Wissarut et al. · indexed
936. Eye States Detection from Wearable EEG Sensing for Driver Safety ↗ · 2024 · Kale, Priyanka Hemant et al. · indexed
937. Eye fixation related potentials in a target search task · 2011 · Healy, Graham et al. · archived
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939. Ocular-Behavioral Metrics for Driver State Classification for Indian Driving Contexts: KSS-Based Evaluation, Conformance and Implementation Challenges ↗ · 2026 · Verma, Harshal et al. · indexed
940. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
941. Driver Alertness Identification And Alarming System Using Haar Cascade Algorithm · 2022 · R. Vadivel et al. · archived
942. Eye-tracking metrics for estimating workload and characterizing errors in conflict detection and resolution during simulated en route air-traffic control · 2025 · Navia, José A. et al. · archived
943. Monitoring mouth movement for driver fatigue or distraction with one camera ↗ · 2005 · Wang Rongben et al. · indexed
944. Blinking and Driving: the Influence of Saccades and Cognitive Workload · 2013 · Cardona, Genís et al. · archived
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946. Analysis of objective eye tracking data used for vehicle assessment ↗ · 2023 · Novotný, Jan · indexed
947. Driver Attention Monitoring Using Camera ↗ · 2026 · Srivastava, Vaibhav et al. · indexed
948. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al. · indexed
949. Real-Time Driver Fatigue Detection for Enhanced Road Safety · 2025 · Sujathakumari B A et al. · archived
950. Driver Head Pose Detection From Naturalistic Driving Data ↗ · 2023 · Chai, Weiheng et al. · indexed
951. Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction ↗ · 2022 · Jiang, Landu et al. · indexed
952. In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour ↗ · 2009 · Rakotonirainy, Andry et al. · indexed
953. Driver vigilance monitoring, a new approach ↗ · 2003 · Gonzalez-Mendoza, M. et al. · indexed
954. 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
955. Gaze Control During Simulator Driving in Adolescents With and Without Attention Deficit Hyperactivity Disorder ↗ · 2019 · Yuval-Greenberg, Shlomit et al. · indexed
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957. Train Driver Fatigue Detection Using Eye Feature Vector and Support Vector Machine ↗ · 2022 · Li, Taiguo et al. · indexed
958. Optical flow based head movement and gesture analysis in automotive environment ↗ · 2012 · Martin, Sujitha et al. · indexed
959. Predicting Focused and Mind-Wandering States from EEG Signals Recorded During Driving ↗ · 2025 · Castro, Johan et al. · indexed
960. Evaluating the Impact of Mind‐Wandering on Driller's Situation Awareness Using Wearable Eye‐Tracking Technology ↗ · 2025 · Hao, Su et al. · indexed
961. J1801-1-3 On phase-dependent eye-movement during vehicle parking with a rear view camera system ↗ · 2009 · KATAGIRI, Masaaki et al. · indexed
962. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Mohammed Murad, Nada et al. · indexed
963. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Murad, Nada Mohammed et al. · indexed
964. Auditory Global Positioning System and Advanced Driver Assistance Systems: A Safer Alternative to Bioptic Telescopes for Drivers Who Are Visually Impaired? ↗ · 2019 · Wilkinson, Mark E. et al. · indexed
965. An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents ↗ · 2024 · Santos, Maykol et al. · indexed
966. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety ↗ · 2023 · Safarov, Furkat et al. · indexed
967. Eye movements in actual and simulated curve negotiation tasks ↗ · 1992 · Laya, O · indexed
968. Influence of ADAS on Driver Distraction ↗ · 2025 · Bosurgi, Gaetano et al. · indexed
969. Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model ↗ · 2026 · Jiao, Yingying et al. · indexed
970. Drowsiness Detection of Driver ↗ · 2022 · Jyothi, B et al. · indexed
971. A new method for categorizing scanpaths from eye tracking data · 2016 · Haass, Michael Joseph et al. · archived
972. Visual attention on human face ↗ · 2015 · Min, Xiongkuo et al. · indexed
973. Morphology based Facial Feature Extraction and Facial Expression Recognition for Driver Vigilance ↗ · 2012 · S.ChidanandKumar, K. · indexed
974. Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness ↗ · 2010 · Murphy-Chutorian, Erik et al. · indexed
975. Driver inattention detection system using multi-task cascaded convolutional networks ↗ · 2024 · Soultana, Abdelfettah et al. · indexed
976. Monitoring Driver’s Drowsiness Status at Night Based on Computer Vision ↗ · 2021 · Valsan A, Vidhu et al. · indexed
977. Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al. · indexed
978. A convolutional neural network -based driver monitoring system for drowsiness and distraction detection ↗ · 2026 · Benkouider, Sara et al. · indexed
979. Research on Early Warning of Driver Fatigue Status Based on Image Processing ↗ · 2021 · Liu, Guoliang et al. · indexed
980. Online Prediction of Driver Distraction Based on Brain Activity Patterns ↗ · 2015 · Wang, Shouyi et al. · indexed
981. REAL TIME DRIVER ALERTNESS MONITORING USING MACHINE LEARNING · 2026 · B.GNANESHWAR et al. · archived
982. Unsupervised Blink Detection and Driver Drowsiness Metrics on Naturalistic Driving Data ↗ · 2020 · Dari, Simone et al. · indexed
983. A Review of Eye Tracking in Advanced Driver Assistance Systems ↗ · 2023 · Baldisserotto, Filippo et al. · indexed
984. Enhancing Driver Safety: Real-Time Eye Detection for Drowsiness Prevention Driver Assistance Systems ↗ · 2023 · Zain, Zainah Md. et al. · indexed
985. Embedded Real Time Blink Detection System for Driver Fatigue Monitoring ↗ · 2015 · Salehian, Soheil et al. · indexed
986. Zone-of-Interaction Prioritization for Personalized Automated Driving by Considering Visual Attention Preferences ↗ · 2024 · Liu, Ao et al. · indexed
987. Driver Fatigue Detection Based on Machine Vision ↗ · 2018 · Jiang, Junye et al. · indexed
988. The Rules of Attention Shift on Display and Control Terminal Base on Situation Awareness ↗ · 2014 · Liu, Wei et al. · indexed
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990. Next – Gen Driver Monitoring System ↗ · 2024 · Murugan, Suganiya et al. · indexed
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992. Weather-Dependent Variations in Driver Gaze Behavior: A Case Study in Rainy Conditions ↗ · 2025 · Farhani, Ghazal et al. · indexed
993. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
994. Vision-based drowsiness detector for real driving conditions ↗ · 2012 · Garcia, I. et al. · indexed
995. Real-Time Driver Drowsiness and Distraction Detection System ↗ · 2026 · Suhas H S, Suhas H S · indexed
996. Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety ↗ · 2025 · Madhumita, S. et al. · indexed
997. Drivers Real time Drowsiness, Attention Detection and Alarm System using Eye Aspect Ratio(EAR) Analysis ↗ · 2024 · Ahmed, Nawshad et al. · indexed
998. A Driving Simulation Study Examining Destination Entry with iOS 5 Google Maps and a Garmin Portable GPS System ↗ · 2013 · Dopart, Celena et al. · indexed
999. Combining EEG and eye-tracking for cognitive and physiological states monitoring: a systematic review · 2026 · Rivas-Vidal, Maria et al. · archived
1000. Driver Fatigue Detection Method Based on Eye Multi-Feature Fusion ↗ · 2018 · Liu, Qinghua et al. · indexed
1001. Keep your mind on the road: Predicting mind-wandering while driving using classification of pre-probe oscillatory brain activity and driving performance ↗ · 2014 · He, J. et al. · indexed
1002. Modeling Joint Visual Attention in Naturalistic Dyadic Interactions ↗ · 2026 · Thennakoon, Kumushini et al. · indexed
1003. Research on pilot perceived intention method based on EEG and visual fixation fusion · 2022 · Jiang, GuangYi et al. · archived
1004. 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
1005. Technologies for detecting and monitoring drivers' states: A systematic review ↗ · 2024 · AL-Quraishi, Maged S. et al. · indexed
1006. Driver Fatigue Detection Based Intelligent Vehicle Control ↗ · 2006 · Zutao Zhang et al. · indexed
1007. Adaptive Driver Vigilance Monitoring System for Enhanced Road Safety · 2025 · Bodhale, U. N. et al. · archived
1008. Automatic Inference of Driving Task Demand from Visual Cues of Emotion and Attention ↗ · 2022 · Soro, Alessandro et al. · indexed
1009. Interactive effects between gaze direction and facial expression on attentional resources deployment: the task instruction and context matter · 2016 · Ricciardelli, Paola et al. · archived
1010. Real-time Intelligent Alert System on Driver�s Hypo-Vigilance Detection Using Template Matching Technique ↗ · 2015 · A., Shweta et al. · indexed
1011. 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
1012. Research on the characteristics of driver visual behavior in highway extra-long tunnel ↗ · 2019 · Yang, Yunxing et al. · indexed
1013. Automatic discrimination of attention levels estimated by frontal EEG activity in drivers ↗ · 2017 · Kashihara, Koji · indexed
1014. Eyeblink recognition improves fatigue prediction from single-channel forehead EEG in a realistic sustained attention task ↗ · 2020 · Ko, Li-Wei et al. · indexed
1015. Driver Inattention Detection System: A PSO-Based Multiview Classification Approach ↗ · 2015 · Koesdwiady, Arief et al. · indexed
1016. A hybrid Bayesian Network approach to detect driver cognitive distraction ↗ · 2014 · Liang, Yulan et al. · indexed
1017. A Resource-Rational Principle for Modeling Visual Attention Control ↗ · 2026 · Bai, Yunpeng · indexed
1018. Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals ↗ · 2020 · Gjoreski, Martin et al. · indexed
1019. Classification of Attentional Tunneling Through Behavioral Indices ↗ · 2019 · Kortschot, Sean W. et al. · indexed
1020. Driving Status' Monitoring and Alarming System Based on Information Fusion Technology ↗ · 2006 · Jin Zhang et al. · indexed
1021. Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor ↗ · 2024 · TADA, Masahiro et al. · indexed
1022. Driver State Estimation Based on Dynamic Bayesian Networks Considering Different Age and Gender Groups ↗ · 2017 · Yang, Ji Hyun et al. · indexed
1023. Spatio-Temporal Detection of Divided Attention in Reading Applications Using EEG and Eye Tracking ↗ · 2015 · Rodrigue, Mathieu et al. · indexed
1024. FEER: Non-intrusive facial expression and emotional recognition for driver's vigilance monitoring ↗ · 2015 · Shaykha, Ismail et al. · indexed
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1026. Driver Drowsiness Detection System · 2026 · Kushwaha, Abhishek · archived
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1030. Eye tracking for assessment of situational awareness in bridge resource management training ↗ · 2020 · Atik, Oguz · indexed
1031. Gaze entropy measures detect alcohol-induced driver impairment ↗ · 2019 · Shiferaw, Brook A. et al. · indexed
1032. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al. · archived
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1034. Driver’s cognitive distraction detection using AdaBoost on pattern recognition basis ↗ · 2008 · Miyaji, Masahiro et al. · indexed
1035. Real-Time Fatigue Analysis of Driver through Iris Recognition · 2017 · K, Gopalakrishna et al. · archived
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1038. A Temporal–Spatial Deep Learning Approach for Driver Distraction Detection Based on EEG Signals ↗ · 2022 · Li, Guofa et al. · indexed
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1040. Fusion of driver-information based driver status recognition for co-pilot system ↗ · 2016 · Jinwoo Kim et al. · indexed
1041. Comprehnsive Measurement and Evidential Evaluation of Driver Drowsiness and Alertness Warning System ↗ · 2026 · Balasubrahmanyan, Chappagadda et al. · indexed
1042. Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems ↗ · 2018 · Baek, Jang Woon et al. · indexed
1043. Operator Assistance for Remote Driving with Augmented Image based on Gaze Information ↗ · 2022 · Doki, Kae et al. · indexed
1044. Assessment of Situation Awareness for Seafarers Using Eye-Tracking Data ↗ · 2022 · Virdi, S. S. et al. · indexed
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1049. A visual attention model for dynamic scenes based on motion features ↗ · 2012 · Changle, Zhou et al. · indexed
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1051. Lightweight Driver Drowsiness Detection Model Using MediaPipe Blendshapes and a Dual-Attention Hierarchical BiLSTM ↗ · 2026 · Mangalesh Chavan, Suhas et al. · indexed
1052. Eye Movements as an Indicator of Situation Awareness in a Flight Simulator Experiment ↗ · 2012 · van de Merwe, Koen et al. · indexed
1053. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
1054. Driver Fatigue Detection Control System ↗ · 2018 · Dachuan, Fan et al. · indexed
1055. Investigating Methods for Cognitive Workload Estimation for Assistive Robots ↗ · 2022 · Aygun, Ayca et al. · indexed
1056. Inferring user tasks in pedestrian navigation from eye movement data in real-world environments ↗ · 2018 · Liao, Hua et al. · indexed
1057. An Explainable Real-Time Driver Drowsiness Detection System Using Vision Transformers and Behavioral Fatigue Indicators · 2026 · Pisolla Rahul, Mohammed Afridi et al. · archived
1058. Standardized evaluation of camera-based driver state monitoring systems ↗ · 2019 · Tian, Renran et al. · indexed
1059. Driver monitoring algorithm for advanced driver assistance systems ↗ · 2016 · Simic, Aleksandra et al. · indexed
1060. Deep Learning of Latent Gaze Representations for Cognitive Ability and Mental State Estimation ↗ · 2026 · Kiuchi, Shunpei et al. · indexed
1061. Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model. · 2026 · Saxena S et al. · archived
1062. A 2-D Vigilance Estimation Method for High-Speed Rail Drivers With Multimodal Sensors ↗ · 2024 · Pan, Yufan et al. · indexed
1063. Driver Steering Intention Prediction Based on Fusion of EEG and Eye Movement Signals ↗ · 2023 · Hu, Jiayao et al. · indexed
1064. Supervisors’ Visual Attention Allocation Modeling Using Hybrid Entropy ↗ · 2019 · Bao, Haifeng et al. · indexed
1065. Real-Time Driver Fatigue Detection Using Automated Eye-State Annotation and Transformerbased Deep Learning Models ↗ · 2026 · A, Hepziba et al. · indexed
1066. Expectancy or Salience?—Replicating Senders’ Dial-Monitoring Experiments With a Gaze-Contingent Window ↗ · 2023 · Eisma, Yke Bauke et al. · indexed
1067. Sustainable Real-Time Driver Gaze Monitoring for Enhancing Autonomous Vehicle Safety ↗ · 2025 · Kim, Jong-Bae · indexed
1068. Perception-Free Calibration of Eye Opening and Closing Threshold for Driver Fatigue Monitoring ↗ · 2022 · Ming, Cheng et al. · indexed
1069. Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking ↗ · 2018 · Hasanzadeh, Sogand et al. · indexed
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1071. Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking ↗ · 2022 · Jasim, Sarah S. et al. · indexed
1072. Drowsy Driver Detection using Eye-Tracking through Machine Learning ↗ · 2021 · S, Akshay et al. · indexed
1073. A PERCLOS-Based Driver Fatigue Recognition Application for Smart Vehicle Space ↗ · 2010 · Qing, Wu et al. · indexed
1074. Effects of Electronic Billboards on Driver Distraction ↗ · 2013 · Dukic, Tania et al. · indexed
1075. Differential Self-Attention in 1-D CNNs for Driver Inattention Detection Using Multimodal Biosignals ↗ · 2026 · Pavan, Kaveti et al. · indexed
1076. Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al. · indexed
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1079. Long-Term Evolution of Driver Visual Attention during Automated Driving in Real-Traffic: Investigating the Influence of Mental Model and Dynamic Learned Trust ↗ · 2025 · Seupke, Stephanie et al. · indexed
1080. 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
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1083. Capsule Attention for Multimodal EEG-EOG Representation Learning With Application to Driver Vigilance Estimation · 2021 · Zhang, Guangyi et al. · archived
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1085. Learning based Driver Drowsiness Detection Model ↗ · 2020 · Singh, Jagendra · indexed
1086. Automatic Detection of Mind Wandering During Reading Using Gaze and Physiology ↗ · 2015 · Bixler, Robert et al. · indexed
1087. Recognition System for Fatigue Facial Expression of Driver ↗ · 2014 · Wang, Xue Mei et al. · indexed
1088. Driver fatigue detection based on head gesture and PERCLOS ↗ · 2012 · Jian-Feng Xie et al. · indexed
1089. YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors ↗ · 2026 · Yu, Zhichao et al. · indexed
1090. Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during listening ↗ · 2025 · Liu, Xena et al. · indexed
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1092. A monitoring method of driver mouth behavior based on machine vision ↗ · 2004 · Chu Jiangwei et al. · indexed
1093. 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
1094. Gaussian Weighted Eye State Determination for Driving Fatigue Detection ↗ · 2023 · Xiang, Yunjie et al. · indexed
1095. Physiological Signal Monitoring System to Analyze Driver Attentiveness ↗ · 2021 · Dolezalek, Emily et al. · indexed
1096. The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System ↗ · 2018 · Yimyam, Worawut et al. · indexed
1097. Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System ↗ · 2022 · Riquelme, Fabi醤 et al. · indexed
1098. Real-time driver drowsiness estimation by multi-source information fusion with Dempster–Shafer theory ↗ · 2013 · Li, Xuanpeng et al. · indexed
1099. Oculomotor consequences of abrupt object onsets and offsets: Onsets dominate oculomotor capture · 2005 · Boot, Walter R. et al. · archived
1100. Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach · 2025 · Hassan, Osama F. et al. · archived
1101. Effects of Threat Visibility and Geographic Knowledge on Attention Allocation During BVLOS Drone Operation: Using Gaze Transition Entropy ↗ · 2025 · Maeng, Sungju et al. · indexed
1102. Collective Driver Attention: Towards a Comprehensive Visual Understanding of Traffic Scenes ↗ · 2023 · Moradi, Morteza et al. · indexed
1103. Testing Senders’ Visual Occlusion Model: Do Operators (Drivers) Really Predict During Visual Occlusion? ↗ · 2022 · Chen, Huei-Yen Winnie et al. · indexed
1104. Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation ↗ · 2026 · Yar, Hikmat et al. · indexed
1105. Goal-directed and stimulus-driven selection of internal representations · 2020 · van Ede, Freek et al. · archived
1106. Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue ↗ · 2023 · Shahbakhti, Mohammad et al. · indexed
1107. Eye-Tracking-Based Analysis of Situational Awareness of Nurses ↗ · 2022 · Sugimoto, Masahiro et al. · indexed
1108. A Computational Model of Attention/Situation Awareness ↗ · 2002 · McCarley, Jason S. et al. · indexed
1109. The Quality of Behavioral and Environmental Indicators Used to Infer the Intention to Change Lanes ↗ · 2007 · Henning, Matthias J et al. · indexed
1110. Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas et al. · indexed
1111. Will you be Aware? Eye Tracking–Based Modeling of Situational Awareness in Augmented Reality ↗ · 2025 · Qu, Zhehan et al. · indexed
1112. YOLO11n-LDS: a lossless downsampling and direction-aware framework for robust driver distraction and fatigue detection ↗ · 2026 · Chen, Yi Ying et al. · indexed
1113. Driver Fatigue Detection Algorithm Research Based on the Characteristics of Eyes ↗ · 2014 · Wang, Qin et al. · indexed
1114. A hybrid observer approach for driver drowsiness detection ↗ · 2011 · Cario, Gianni et al. · indexed
1115. Research on Method of Driver Distraction State Based on Mouth State ↗ · 2018 · Huang, Xiangdong et al. · indexed
1116. Adaptive driver assistance system based on Traffic Information Saliency Map ↗ · 2016 · Kim, Jihun et al. · indexed
1117. Anticipatory Orienting of Covert Attention with Dynamic Gaze Cueing ↗ · 2024 · Karmakar, Srijita et al. · indexed
1118. Real-Time Driver-Drowsiness Detection System Using Facial Features ↗ · 2019 · Deng, Wanghua et al. · indexed
1119. Investigation on individual adaptive driver state diagnosis method based on driver model in car-following situation ↗ · 2014 · SAIGO, Shintaro et al. · indexed
1120. Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set ↗ · 2012 · Aoude, Georges S. et al. · indexed
1121. The role of eye fixations in concentration and amplification effects during multiple object tracking · 2008 · Doran, Matthew M. et al. · archived
1122. Hypovigilance Detection Based on Eyelids Behavior Study ↗ · 2013 · Akrout, Belhassen et al. · indexed
1123. NEURAL NETWORK DEVELOPMENT AND TRAINING FOR RECOGNIZING THE STATE OF A DRIVER ↗ · 2023 · Schwetz, Olga et al. · indexed
1124. Research on multimodal fatigue driving detection method based on bidirectional temporal modeling and cross-attention mechanism ↗ · 2025 · Wang, FengTong et al. · indexed
1125. Drowsy Driver Assistant System ↗ · 2007 · ElSabrouty, M. et al. · indexed
1126. Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task · 2021 · Sciaraffa, Nicolina et al. · archived
1127. Steering and Gaze Control Modifications from Directed or Spontaneous Use of a Visual Augmentation Cue ↗ · 2008 · Mars, Franck · indexed
1128. Identification of driver state for lane-keeping tasks: experimental results ↗ · 1997 · Pilutti, T. et al. · indexed
1129. Using EEG to Detect Lapses in Sustained Attention to Moving Stimuli · 2025 · Lowe, Benjamin G. et al. · archived
1130. A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis · 2021 · Zhang, Ce et al. · archived
1131. Embodied Cognitive Architecture to Support Driver Performance ↗ · 2018 · Artifice, Andreia et al. · indexed
1132. Rightward attentional bias in windshield displays: Implication towards external human machine interfaces for self-driving cars ↗ · 2017 · Liu, Qiang et al. · indexed
1133. Applying the SEEV Model to Assess Where People Will Look: Practical Considerations ↗ · 2024 · Green, Paul · indexed
1134. Operator visual attention allocation prediction in a robotic arm teleoperation interface ↗ · 2023 · An, Yueqi et al. · indexed
1135. Face Pose Estimation From Rigid Face Landmarks For Driver Monitoring Systems ↗ · 2017 · Shankar, Bhawani et al. · indexed
1136. Mimicking human attention in driving scenarios for enhanced Visual Question Answering: Insights from eye-tracking and the human attention filter ↗ · 2025 · Rekanar, Kaavya et al. · indexed
1137. Visual attention tracking during program debugging ↗ · 2004 · Bednarik, Roman et al. · indexed
1138. Predicting Mind-Wandering with Facial Videos in Online Lectures ↗ · 2022 · Lee, Taeckyung et al. · indexed
1139. Translating Attentional Control Theory to Applied Psychological Eye Tracking Research ↗ · 2021 · Young, William et al. · indexed
1140. Exploring and Modeling the Effects of Eye-Tracking Accuracy and Precision on Gaze-Based Steering in Virtual Environments ↗ · 2025 · Hu, Xuning et al. · indexed
1141. Enhancing Situation Awareness and Process Safety in Offshore Drilling Operations: Applications of Eye-Tracking System ↗ · 2018 · Salehi, Saeed et al. · indexed
1142. Does your gaze direction and head orientation shift my visual attention? ↗ · 1999 · Hietanen, Jari K. · indexed
1143. Spatial Attention Effects on P300 BCI Performance: ERP and Eye-Tracking Study ↗ · 2023 · Pronina, A. et al. · indexed
1144. A Multimedia Database Application for Vehicle Surveillance System ↗ · 2010 · Fu, Xianping et al. · indexed
1145. A review of visual driver models for system identification purposes ↗ · 2011 · Steen, J. et al. · indexed
1146. Assessing Data Imbalance Correction Methods and Gaze Entropy for Collision Prediction ↗ · 2025 · Goodridge, Courtney Michael et al. · indexed
1147. Effects of Interpreting a Dynamic Geometric Cue as Gaze on Attention Allocation ↗ · 2023 · Schmitz, Inka et al. · indexed
1148. Eye Tracking and Head Movement Detection: A State-of-Art Survey ↗ · 2013 · Al-Rahayfeh, Amer et al. · indexed
1149. Spatial Decoding for Gaze Independent Brain–Computer Interface Based on Covert Visual Attention Shift Using Electroencephalography ↗ · 2024 · Chugh, Nupur et al. · indexed
1150. Gaze Perception Triggers Reflexive Visuospatial Orienting ↗ · 1999 · Driver, Jon et al. · indexed
1151. Visual Search for Human Gaze Direction by a Chimpanzee (Pan troglodytes) · 2010 · Tomonaga, Masaki et al. · archived
1152. The fundamentals of eye tracking part 2: From research question to operationalization ↗ · 2025 · Hooge, Ignace T. C. et al. · indexed
1153. Pupil Frequency Tagging: an on-line measure of visual attention ↗ · 2013 · Naber, M. et al. · indexed
1154. Pupillary correlates of lapses of sustained attention ↗ · 2016 · Unsworth, Nash et al. · indexed
1155. Evaluation of head-free eye tracking as an input device for air traffic control ↗ · 2013 · Alonso, Roland et al. · indexed
1156. Breaking out of the Lab: Mitigating Mind Wandering with Gaze-Based Attention-Aware Technology in Classrooms ↗ · 2021 · Hutt, Stephen et al. · indexed
1157. Control of visual attention in mobile robots ↗ · 2003 · Clark, J.J. et al. · indexed
1158. Optimal planning of eye movements ↗ · 2017 · David, Hoppe et al. · indexed
1159. Visual Attention Analysis for Critical Operations in Maritime Collision Avoidance ↗ · 2022 · Wu, Baiheng et al. · indexed
1160. Attentional shifts bias microsaccade direction but do not cause new microsaccades · 2024 · Liu, Baiwei et al. · archived
1161. Attention and microsaccades: do attention shifts trigger new microsaccades or only bias ongoing microsaccades? ↗ · 2023 · Liu, Baiwei et al. · indexed
1162. Pupil Dilation Dynamics Track Attention to High-Level Information · 2014 · Kang, Olivia et al. · archived
1163. Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty ↗ · 2024 · Koorathota, Sharath et al. · indexed
1164. Social Cognition, Attention, and Eye Tracking ↗ · 2024 · Kawakami, Kerry et al. · indexed
1165. Real-Time Gaze-Aware Cognitive Support System for Security Surveillance ↗ · 2020 · Marois, Alexandre et al. · indexed
1166. Gaze Behavior, Attention Allocation, and Automaticity of Expert Chamber Music Coaches ↗ · 2026 · Heinsen, Robin S. · indexed
1167. The Prototype of a Driver Attention Level Monitoring System: The Sanbao Radar ↗ · 2018 · Tseng, Chun-Hsiung et al. · indexed
1168. Conceptual priorities shape individual gaze patterns during naturalistic visual attention ↗ · 2026 · Haskins, Amanda J et al. · indexed
1169. Selective visual attention during public speaking in an immersive context ↗ · 2022 · Rubin, Mikael et al. · indexed
1170. A Human-Computer Control System Based on Intelligent Recognition of Eye Movements and Its Application in Wheelchair Driving ↗ · 2021 · Luo, Wenping et al. · indexed
1171. Distinguishing between target and nontarget fixations in a visual search task using fixation-related potentials ↗ · 2013 · Brouwer, A.-M. et al. · indexed
1172. The Intelligent AutoLens ↗ · 2019 · Abhyankar, Ranjit Vinayak et al. · indexed
1173. Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration · 2018 · Fathaliyan, Alireza Haji et al. · archived
1174. What Are You Looking At? Moving toward an Attentional Timeline in Insomnia: A Novel Semantic Eye Tracking Study ↗ · 2013 · Woods, Heather et al. · indexed
1175. Gaze-contingent display technology can help to reduce the ipsilesional attention bias in hemispatial neglect following stroke · 2022 · Bode, Lisa Kunkel genannt et al. · archived
1176. Spatial Gaze Markers: Supporting Effective Task Switching in Augmented Reality · 2024 · Lystbæk, Mathias N. et al. · archived
1177. Pupil Dilation and Eye Movements Can Reveal Upcoming Choice in Dynamic Decision-Making ↗ · 2015 · Peysakhovich, Vsevolod et al. · indexed
1178. Alerting and orienting attention in anti-predator vigilance: neurocognitive modelling and behavioural evidence ↗ · 2026 · Linson, Adam et al. · indexed
1179. An interactive eye‐tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye‐tracking accuracy validation ↗ · 2021 · Gong, Hao et al. · indexed
1180. Recognition for driving across central-line of on-board information image monitoring system ↗ · 2009 · Lin Guang-yu et al. · indexed
1181. Diagnostic Features of Emotional Expressions Are Processed Preferentially · 2012 · Scheller, Elisa et al. · archived
1182. Clinicians’ Visual Attention During Suicide Screening Encounters: An Exploratory Eye-Tracking Study ↗ · 2026 · Alrefaei, Doaa et al. · indexed
1183. Learning sequential visual attention control through dynamic state space discretization ↗ · 2009 · Borji, A. et al. · indexed
1184. Gaze data of 4243 participants shows link between leftward and superior attention biases and age · 2024 · Strauch, Christoph et al. · archived
1185. The Effect of Eye-Feedback Training on Orienting Attention in Young Adults With Sluggish Cognitive Tempo · 2020 · Kim, Kiho et al. · archived
1186. Visual attention model for manipulating human attention by a robot ↗ · 2014 · Tamura, Yusuke et al. · indexed
1187. Disentangling gaze shifts from preparatory ERP effects during spatial attention ↗ · 2006 · Kennett, Steffan et al. · indexed
1188. Head-Mounted Mobile Eye-Tracking in the Domestic Dog: A New Method ↗ · 2022 · Pelgrim, Madeline Helmer et al. · indexed
1189. Multimodal mapping of spatial attention for unilateral spatial neglect in VR: a proof of concept study using eye-tracking and mobile EEG ↗ · 2025 · Eudave, Luis et al. · indexed
1190. Analysis of Elementary Student Engagement Patterns in Science Class Using Eye Tracking and Object Detection: Attention and Mind Wandering ↗ · 2025 · Yang, Ilho et al. · indexed
1191. Is the reversed congruency effect unique to the eye-gaze? Investigating the effects of finger pointing, eye-gaze and arrows stimuli on spatial interference · 2023 · Bonventre, Sofia et al. · archived
1192. Goal-oriented Object Importance Estimation in On-road Driving Videos ↗ · 2019 · Gao, Mingfei et al. · indexed
1193. Inferring User Attributes Through Eye Tracking Data: A Literature Survey ↗ · 2024 · Aziz, Samantha et al. · indexed
1194. Improving Speech Intelligibility by Hearing Aid Eye-Gaze Steering: Conditions With Head Fixated in a Multitalker Environment ↗ · 2018 · Favre-Félix, Antoine et al. · indexed
1195. Eye movement behavior in a real-world virtual reality task reveals ADHD in children ↗ · 2022 · Merzon, Liya et al. · indexed
1196. Gaze improves working memory for verbal items ↗ · 2025 · Shivakumar, Vinoprasath et al. · indexed
1197. Evaluating Dogs’ Real‐World Visual Environment and Attention ↗ · 2025 · Pelgrim, Madeline H. et al. · indexed
1198. Visual Attention in Objective Image Quality Assessment: Based on Eye-Tracking Data ↗ · 2011 · Hantao Liu et al. · indexed
1199. Studying the added value of visual attention in objective image quality metrics based on eye movement data ↗ · 2009 · Liu, Hantao et al. · indexed
1200. Attention-Aware Robotic Laparoscope Based on Fuzzy Interpretation of Eye-Gaze Patterns ↗ · 2015 · Li, Songpo et al. · indexed
1201. Neurophysiological signatures reflect differences in visual attention during absence seizures ↗ · 2023 · Barone, Valentina et al. · indexed
1202. Gaze Dispersion During a Sustained-Fixation Task as a Proxy of Visual Attention in Children with ADHD ↗ · 2025 · Moiroud, Lionel et al. · indexed
1203. Gaze behavior reveals automaticity and attention allocation during music teaching vs. observing ↗ · 2024 · Heinsen, Robin · indexed
1204. To follow or not to follow your gaze: The interplay between strategic control and the eye contact effect on gaze-induced attention orienting. ↗ · 2021 · Kompatsiari, Kyveli et al. · indexed
1205. Emotional attention: effects of emotion and gaze direction on overt orienting of visual attention ↗ · 2007 · Bonifacci, Paola et al. · indexed
1206. A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving ↗ · 2015 · Ktena, Sofia Ira et al. · indexed
1207. Gaze is Generation: A Gaze-Driven Adaptive Generative Ani-mation System for Fostering Sustained Attention in Children ↗ · 2026 · yan, yifan et al. · indexed
1208. An EOG Guided P300 Flicker Display Paradigm for Improving the Driving Intuition of BCI Wheelchair Users* ↗ · 2025 · Nguyen, Phuc Thanh-Thien et al. · indexed
1209. Gaze-independent brain–computer interfaces based on covert attention and feature attention ↗ · 2011 · Treder, Matthias S. et al. · indexed
1210. Performance Measure of Vehicle Onboard Vision System: An Interval Observer-based Approach · 2018 · Ifqir, Sara et al. · archived
1211. The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety ↗ · 2018 · Peysakhovich, Vsevolod et al. · indexed
1212. OKN and Pupillary Response Modulation by Gaze and Attention Shifts ↗ · 2025 · Kanari, Kei et al. · indexed
1213. Time Course of Visual Attention in Infant Categorization of Cats Versus Dogs: Evidence for a Head Bias as Revealed Through Eye Tracking · 2009 · Quinn, Paul C. et al. · archived
1214. Do the eyes have it? A comparison of eye-movement and attentional-probe-based approaches to indexing attentional control within the antisaccade paradigm · 2022 · Basanovic, Julian et al. · archived
1215. An Object-based Visual Attention Model for Robots ↗ · 2008 · Yuanlong Yu et al. · indexed
1216. To BE or Not to BE: Does the Plan to Fixate a New Region affect Scene Memory? ↗ · 2004 · Intraub, Helene et al. · indexed
1217. Advancing Blink Detection in Driver Monitoring with Improved Eye Landmark Analysis ↗ · 2025 · Rahman, Anima et al. · indexed
1218. Effects of Autistic Trait-Related Joint Attention on Visual Working Memory · 2020 · Wang, Zhiyun et al. · archived
1219. Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection ↗ · 2017 · Fuhl, Wolfgang et al. · indexed
1220. The Effect of Effort on the Allocation of Visual Attention During the Induction of General Anesthesia: A SEEV Model Analysis ↗ · 2020 · Grundgeiger, Tobias et al. · indexed
1221. Comparing In-ear EOG for Eye-Movement Estimation With Eye-Tracking: Accuracy, Calibration, and Speech Comprehension ↗ · 2022 · Skoglund, Martin A. et al. · indexed
1222. High-definition human visual attention mapping using wavelets ↗ · 2021 · Saber, Yusuf · indexed
1223. Pose and Visual Attention: Exploring the Effects of 3D Shape Near-Isometric Deformations on Gaze ↗ · 2020 · Garro, Valeria et al. · indexed
1224. Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data ↗ · 2014 · Steichen, Ben et al. · indexed
1225. Transferable eye gaze control method for maritime vehicles as demonstrated on an unmanned surface vessel (USV) ↗ · 2025 · Barth, Vanessa et al. · indexed
1226. Combining Virtual Reality Advertising and Eye Tracking to Understand Visual Attention: A Pilot Study ↗ · 2019 · Wang, Chun-Chia et al. · indexed
1227. Eye-Gaze Augmentation in Eye-Tracking Data ↗ · 2024 · Heller, Georg · indexed
1228. Overview on visual attention and computational saliency ↗ · 2021 · Kalboussi, Rahma et al. · indexed
1229. Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder ↗ · 2023 · Selaskowski, Benjamin et al. · indexed
1230. Visual attention in deep learning: a review ↗ · 2018 · Milanova, Mariofanna · indexed
1231. Single-trial Classification of Fixation-related Potentials in Guided Visual Search Tasks using A Riemannian Network ↗ · 2019 · Shen, Junjie et al. · indexed
1232. Robust Covert Spatial Attention Decoding from Low-Channel Dry EEG by Hybrid AI Model ↗ · 2025 · Kim, Doyeon et al. · indexed
1233. Eye’ll Help You Out! How the Gaze Cue Reduces the Cognitive Load Required for Reference Processing ↗ · 2018 · Sekicki, Mirjana et al. · indexed
1234. Combined frequency-tagging EEG and eye-tracking measures provide no support for the “excess mouth/diminished eye attention” hypothesis in autism ↗ · 2020 · Vettori, Sofie et al. · indexed
1235. Exploring the effects of head movements and accompanying gaze fixation switch on steady-state visual evoked potential ↗ · 2022 · Duan, Junyi et al. · indexed
1236. Gaze-independent BCI spellers based on covert attention and feature attention ↗ · 2010 · Blankertz, Benjamin et al. · indexed
1237. Predicting contextual locations in natural scenes from neural activity ↗ · 2010 · Das, K. et al. · indexed
1238. Analysis of Traffic Organisation in the Kiss-and-Fly Zone of Kraków Airport: Eye-Tracking Study ↗ · 2024 · Pashkevich, Anton et al. · indexed
1239. Influence of the Location of a Decision Cue on the Dynamics of Pupillary Light Response ↗ · 2022 · Pandey, Pragya et al. · indexed
1240. A Study of Consumers' Visual Attention Allocation in Online Hotel Booking: Evidence from Eye-tracking ↗ · 2026 · Luo, Zichang · indexed
1241. Gaze-based Pedestrian Safety Prediction using Attention LSTM ↗ · 2025 · J, Divya et al. · indexed
1242. Dealing with ocular artifacts on lateralized ERPs in studies of visual‐spatial attention and memory: ICA correction versus epoch rejection ↗ · 2017 · Drisdelle, Brandi Lee et al. · indexed
1243. Joint Attention without Gaze Following: Human Infants and Their Parents Coordinate Visual Attention to Objects through Eye-Hand Coordination ↗ · 2013 · Yu, Chen et al. · indexed
1244. Eye Tracking Study of Visual Attention of Children with Hearing Impairments in a Learning Situation ↗ · 2023 · Smirnova, Y.K. · indexed
1245. Eye-tracking visual attention of professional interpreters during technology-assisted simultaneous interpreting ↗ · 2025 · Su, Wenchao et al. · indexed
1246. Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults (Preprint) ↗ · 2020 · Krebs, Christine et al. · indexed
1247. Reward functioning from an attentional perspective and obsessive-compulsive symptoms—an eye-tracking study · 2023 · Basel, Dana et al. · archived
1248. Esports and Visual Attention: Evaluating In-Game Advertising through Eye-Tracking during the Game Viewing Experience ↗ · 2022 · Mancini, Marco et al. · indexed
1249. Fusing Appearance and Prior Cues for Road Detection ↗ · 2019 · Ren, Fenglei et al. · indexed
1250. Biasing moral decisions by exploiting the dynamics of eye gaze ↗ · 2015 · Pärnamets, Philip et al. · indexed
1251. Eye-gaze contingent attention training (ECAT): Examining the causal role of attention regulation in reappraisal and rumination ↗ · 2017 · Lopez, Alvaro Sanchez et al. · indexed
1252. MODELING UTTERANCE-DRIVEN VISUAL ATTENTION DURING SITUATED COMPREHENSION ↗ · 2012 · Švantner, Ján et al. · indexed
1253. Exploring the Link Between Visual Attention to Familiar or Novel Food Stimuli and Food Choice Using Integrated Electroencephalography and Eye Tracking: Protocol for Nonrandomized Pilot Study (Preprint) ↗ · 2024 · Arsalandeh, Farshad et al. · indexed
1254. Analysis of visual attention and team communications during neonatal endotracheal intubations using eye-tracking: An observational study ↗ · 2020 · Law, Brenda Hiu Yan et al. · indexed
1255. Utilising state of the art eye tracking equipment to improve outcomes for maritime watchkeeper's on nocturnal navigational watches ↗ · 2023 · Khalique, Abdul · indexed
1256. Saccadic adaptation driven by attentional selection in visual working memory ↗ · 2019 · Wagner, Ilja et al. · indexed
1257. A real-time lane detection and tracking algorithm ↗ · 2017 · Gao, Qi et al. · indexed
1258. Empirical study on visual attention characteristics of basketball players of different levels during free-throw shooting ↗ · 2023 · Zhao, Chunzhou et al. · indexed
1259. Effects of diagnostic regions on facial emotion recognition: The moving window technique · 2022 · Kim, Minhee et al. · archived
1260. Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven’s Advanced Progressive Matrices: A Data-Driven Perspective ↗ · 2024 · Liu, Yaohui et al. · indexed
1261. Visual attention patterns during program debugging with an IDE ↗ · 2012 · Hejmady, Prateek et al. · indexed
1262. Luminance Matching in Cognitive Pupillometry Is Not Enough: The Curious Case of Orientation ↗ · 2025 · Parrella, Matthew A. et al. · indexed
1263. Hybrid approach in recognition of visual covert selective spatial attention based on MEG signals ↗ · 2015 · Hosseini, Seyyed Abed et al. · indexed
1264. Information stored in memory affects abductive reasoning · 2021 · Klichowicz, Anja et al. · archived
1265. Remote sensing image road network detection based on channel attention mechanism ↗ · 2024 · Shan, Chuanhui et al. · indexed
1266. Neural mechanisms of eye gaze processing as a function of emotional expression and working memory load ↗ · 2021 · Tipura, Eda et al. · indexed
1267. Robustness and Precision: How Data Quality May Influence Key Dependent Variables in Infant Eye‐Tracker Analyses ↗ · 2014 · Wass, Sam V. et al. · indexed
1268. What are we <i>really</i> decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention ↗ · 2024 · Rotaru, Iustina et al. · indexed
1269. A Fitts Law comparison of eye tracking and manual input in the selection of visual targets ↗ · 2008 · Vertegaal, Roel · indexed
1270. Changes in pupil diameter entrained by cortically initiated changes in attention ↗ · 2012 · DANIELS, LORI B. et al. · indexed
1271. A tentative study of visual attention-based salient features for image retrieval ↗ · 2008 · Wei Liu et al. · indexed
1272. A Novel Method for Detecting Encroachments on Transmission Lines Based on Visual Attention ↗ · 2011 · Zhao, Jingjing et al. · indexed
1273. Road Selection Using Multicriteria Fusion for the Road-Matching Problem · 2007 · Najjar, Maan El Badaoui El et al. · archived
1274. AB084. Sexual anxiety correlate to visual attention bias in sex situation: an eye-tracking study ↗ · 2017 · Huang, Yung-Jui et al. · indexed
1275. Fast Visual Attention Model Algorithm Based on Approximate Gaussian Pyramids ↗ · 2009 · ZHANG, Guo-Min et al. · indexed
1276. A visual attention operator for playing Pac-Man ↗ · 2018 · Gregor, Michal et al. · indexed
1277. ACL-Net: A Lane Detection Method Based on Coordinate Attention and Multi-Scale Context Enhancement ↗ · 2026 · Zhu, Yunyao et al. · indexed
1278. Students’ visual attention during teacher’s talk as a predictor of mathematical achievement: a cautionary tale ↗ · 2023 · Farsani, Danyal et al. · indexed
1279. Deep Learning based Safe Car Driving Experience Using Glaucoma Grading ↗ · 2025 · Patel, Trupesh et al. · indexed
1280. Impact of Online Courses on University Student Visual Attention During the COVID-19 Pandemic ↗ · 2022 · Gao, Qi et al. · indexed
1281. Visual Search Strategies Predict Throw Accuracy in Elite Wheelchair Curling: An Eye-Tracking and Machine Learning Approach ↗ · 2025 · Wang, Chao et al. · indexed
1282. The cognitive processing of an educational app with EEG and ’Eye Tracking’ ↗ · 2017 · Cuesta-Cambra, Ubaldo et al. · indexed
1283. Inferring Mental States From Dynamic Faces in Adolescents With Autism Spectrum Disorder: Insights From Eye Tracking ↗ · 2019 · Back, Elisa · indexed
1284. Surface defects detection of steel plate based on visual attention mechanism ↗ · 2017 · Guo, Fang et al. · indexed
1285. Attention Guidance Augmentation of Virtual Reality Exposure Therapy for Social Anxiety Disorder: A Pilot Randomized Controlled Trial ↗ · 2021 · Rubin, Mikael et al. · indexed
1286. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention ↗ · 2015 · Xu, Kelvin et al. · indexed
1287. Visual Attention Analysis and Optimization Algorithm in Packaging Design ↗ · 2024 · An Ouyang · indexed
1288. A study on Email Topic Identification using Latent Dirichlet Allocation integrated with Visual Attention ↗ · 2021 · Chiang, Tzu-Hang et al. · indexed
1289. GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal\n Graphs ↗ · 2018 · Zhang, Jiani et al. · indexed
1290. Infant sustained attention but not joint attention to objects at 9 months predicts vocabulary at 12 and 15 months ↗ · 2018 · Yu, Chen et al. · indexed
1291. Infants’ early visual attention and social engagement as developmental precursors to joint attention. ↗ · 2016 · Salley, Brenda et al. · indexed
1292. Advanced Eye-tracking Metrics for Analyzing Joint Visual Attention and Joint Mental Attention ↗ · 2024 · Thennakoon, Kumushini · indexed
1293. &lt;title&gt;Georeferenced road extraction and formulation of hypotheses for new road segments&lt;/title&gt; ↗ · 2000 · Dal Poz, Aluir P. et al. · indexed
1294. Data-Driven Insights into E-Learning: A Comprehensive Review of Eye-Tracking Applications in Learning Systems ↗ · 2026 · Bendjebar, Safia et al. · indexed
1295. Vehicle routing problem with zone-based pricing ↗ · 2021 · Afsar, Hasan Murat et al. · indexed
1296. The 3D tooth model segmentation method based on GAC+PointMLP network ↗ · 2025 · Chen, Jianjun et al. · indexed
1297. Genetic programming for the vehicle routing problem with zone-based pricing ↗ · 2023 · Gil-Gala, Francisco Javier et al. · indexed