DrivingResearch.

driver facing camera

Driver-facing camera (gaze, head, behavior).

2350 papers carry this instruments & measures tag, of 9327 that declare a instruments & measures at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

  1. A Vision-Based Approach for Real-Time Driver Fatigue Detection Using Facial Landmarks ↗ · 2026 · A M, Pranamya et al.
  2. Real-Time Driver Fatigue Detection Using Automated Eye-State Annotation and Transformerbased Deep Learning Models ↗ · 2026 · A, Hepziba et al.
  3. Lightweight Skeleton-Based Driver Distraction Detection Using Geometric Features and Subject-Independent Learning ↗ · 2026 · Abakar, Abakar Abbas et al.
  4. Human Performance in Vehicle Driving · 2026 · Abendroth, Bettina et al.
  5. Security of drivers in intelligent transportation systems: privacy-preserving federated transfer learning for driver drowsiness detection ↗ · 2026 · Ahmad, Khubab et al.
  6. DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al.
  7. Distraction mitigation through driver monitoring systems: a scoping review ↗ · 2026 · Ayas, Suzan et al.
  8. Modeling behavioral indicators for driver drowsiness detection: a simulator-based study ↗ · 2026 · Azaddel, Rahele et al.
  9. Iot-Enabled Real-Time Driver Monitoring System for Drowsiness and Alcohol Detection Using Arduino and OpenCV · 2026 · Rani, B Usha et al.
  10. Driver Fatigue Detection & Collision Avoidance System ↗ · 2026 · Bahendwar, Yogesh et al.
  11. Comprehnsive Measurement and Evidential Evaluation of Driver Drowsiness and Alertness Warning System ↗ · 2026 · Balasubrahmanyan, Chappagadda et al.
  12. DRIVER DROWSINESS MONITORING SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS ↗ · 2026 · B.CHARAN, B.CHARAN et al.
  13. A convolutional neural network -based driver monitoring system for drowsiness and distraction detection ↗ · 2026 · Benkouider, Sara et al.
  14. REAL TIME DRIVER ALERTNESS MONITORING USING MACHINE LEARNING · 2026 · B.GNANESHWAR et al.
  15. Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al.
  16. A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning ↗ · 2026 · Bouyer, Asgarali et al.
  17. Emotion-Aware Contextual Modelling for Robust Driver Fatigue Detection ↗ · 2026 · Budzan, Sebastian et al.
  18. LLMs in the Loop: A Survey of Language-Driven Driver Monitoring and Assistance Systems ↗ · 2026 · Chandrayan, Vanchha et al.
  19. A Multi-Task Cross-Attention Network for Driver Fatigue Detection: A Tobacco Logistics Case Study ↗ · 2026 · Chen, Nan et al.
  20. A Review of <scp>EEG</scp> ‐Based Driver Fatigue Detection: Nonlinear Dynamics, Brain Networks, and Deep Learning Advances ↗ · 2026 · Chen, Jichi et al.
  21. Embodied Visual Perception for Driver Fatigue Monitoring Systems: A Hierarchical Decoupling Framework for Robust Fatigue Detection and Scenario Understanding ↗ · 2026 · Chen, Siyu et al.
  22. YOLO11n-LDS: a lossless downsampling and direction-aware framework for robust driver distraction and fatigue detection ↗ · 2026 · Chen, Yi Ying et al.
  23. 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.
  24. The Design and Implementation of a Drowsiness Detection and Alarm System ↗ · 2026 · Computer Engineering, Sunmoon university, Korea et al.
  25. Driver drowsiness detection system · 2026 · Dalvi, Spandan et al.
  26. A bibliometric review of research on driver fatigue under conditional automated driving ↗ · 2026 · Ni, Dingan et al.
  27. LDIE-FDNet: Lightweight dynamic image enhancement-enabled real-time fatigue driving detection network ↗ · 2026 · Dong, Chunyu et al.
  28. Representational Alignment for Multimodal Distracted Driving Detection: Parameter-efficient Adaptation of a Unified Embedding Space ↗ · 2026 · Dontoh, Anthony et al.
  29. Drowsiness Detection for Life-Saving – A Hidden Continuous Monitoring System for use in Road Vehicles ↗ · 2026 · Douzi, Ahmed et al.
  30. Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review. ↗ · 2026 · El Sahmarany, L et al.
  31. 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.
  32. A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference ↗ · 2026 · Essahraui, Siham et al.
  33. Adaptive Multi-Temporal Fusion and Cross-Modal Adversarial Alignment for Robust Driver Fatigue Detection ↗ · 2026 · Feng, Yanqiao et al.
  34. Geometry-Prior Guided Dual-Stream Recognition Network for Accurate Occupant Behavior Monitoring in Intelligent Vehicle ↗ · 2026 · Fu, Zhijun et al.
  35. Lightweight 2D-1D CNN for Real-Time Driver Drowsiness Detection withFederated Learning on Edge Devices ↗ · 2026 · Guettas, Amina et al.
  36. A Dynamic Multi-Level Feature Alignment Method for Domain Adaptive Driver Distraction Detection ↗ · 2026 · Guo, Zizheng et al.
  37. Attention-Based Driver Behavior Monitoring System Using Multi-Modal Deep Learning ↗ · 2026 · Gurrapu, Omprakash et al.
  38. A fatigue driving detection method based on driver posture and facial state analysis ↗ · 2026 · Hao, Yuting et al.
  39. Intelligent driver monitoring systems: a survey of drowsiness detection technologies for road safety ↗ · 2026 · Hassan, Osama F. et al.
  40. SAFE-Drive: A Synergistic Adaptive Fusion Framework for Multimodal Driver Emotion Recognition in Real Driving Scenarios ↗ · 2026 · Huang, Yaning et al.
  41. Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al.
  42. Visionguard: an AI-Driven Real-Time Driver Attention and Distraction Monitoring System using Deep Learning ↗ · 2026 · I., Eswari et al.
  43. Emotion Recognition in Driver-Centered ADAS: A Modular Vision-Based Approach for In-Cabin Monitoring ↗ · 2026 · Iglesias, José Antonio et al.
  44. C-DIRA: Computationally Efficient Dynamic ROI Routing and Domain-Invariant Adversarial Learning for Lightweight Driver Behavior Recognition ↗ · 2026 · Inoshita, Keito
  45. Computer Vision Based Driver Health and Wellness Monitoring System: A) Fatigue Detection, B) Emotional Wellbeing ↗ · 2026 · Iqbal, Shoaib et al.
  46. Vision-Based Driver Drowsiness Detection: From Deep Learning Models to Real-Time Mobile Deployment · 2026 · Jadhav, Hitesh Jitendra
  47. Gaze-based Drowsiness Recognition for Level 3 Automated Driving: Designing Core Features and Temporal Windows ↗ · 2026 · Jang, Eun Hye et al.
  48. Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study · 2026 · Göbel, Jan-Philipp et al.
  49. Symmetry-Aware Fatigue Driving Detection Based on Improved YOLOv8-LSTM with Enhanced Spatiotemporal Feature Fusion ↗ · 2026 · Jiang, Wanqin
  50. Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model ↗ · 2026 · Jiao, Yingying et al.
  51. Multi-Modal Driver Safety System Using Deep Learning and Machine Learning ↗ · 2026 · Joseph, Joshua et al.
  52. System for Alertness and Fatigue Estimation Using Deep Recurrent Intelligence for Vehicle Engagement ↗ · 2026 · Jyothsna, Panigrahi et al.
  53. Deep Learning Driven Driver Fatigue Detection Using CNN and Temporal Eye Dynamics ↗ · 2026 · K S, Nagashree
  54. A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera ↗ · 2026 · Kareem, Emad
  55. Attention-Driven Convolutional Neural Network for Real-Time Driver Drowsiness and Inattention Awareness ↗ · 2026 · Kate, Chennaiah et al.
  56. Vision-Based Driver Alertness Monitoring Using LSTM-Based Cognitive Drift Analysis and Post- Detection Verification ↗ · 2026 · Kavitha, D.N.S.B et al.
  57. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al.
  58. AI-Driven EEG-Based Driver Drowsiness Detection: A Narrative Review of Biosignals and Wearable Devices ↗ · 2026 · Khaghani Asl Toloun, Mahsa et al.
  59. Driver Alert System: CNN-Powered to Identify Driving-Related Eating Distraction ↗ · 2026 · Khalil, Nida et al.
  60. Detection of Fine-grained Driver Cognitive Responses for Cross-subject Deep Learning Framework ↗ · 2026 · Kim, Ah-Hyun et al.
  61. Drowseguard Ai: Driver Drowsiness Detection System ↗ · 2026 · Kompalli, Udayasri et al.
  62. Driver Vigilance and Behaviour Monitoring with Automated Alerts using YOLO ↗ · 2026 · Krishna, K. Hari et al.
  63. From 3D Skeleton Data to Metahuman: An End-to-End Framework of Driver Behavior Classification and Retargeting for Simulation-Based Driver Monitoring System ↗ · 2026 · Kurniadi, Kezia Amanda et al.
  64. Driver Drowsiness Detection System · 2026 · Kushwaha, Abhishek
  65. Research on Driver Drowsiness and Distraction Detection System ↗ · 2026 · Lade, Eshwari
  66. Keeping an Eye on Drivers: Survey Exploring Public Acceptance of Driver Monitoring Systems ↗ · 2026 · Large, David et al.
  67. MFCA-Net: A Multimodal Fusion Framework with Collaborative Attention for Driver Behavior Recognition ↗ · 2026 · Li, Mingyang et al.
  68. A MULTIMODAL DRIVER-SAFETY SYSTEM TO SUPPORT TEEN DRIVERS USING COMPUTER VISION AND SENSOR FUSION ↗ · 2026 · Liu, Max et al.
  69. Enhancing Rail Transit Safety: Edge Computing‐Based Driver State Monitoring System ↗ · 2026 · Liu, Yiqing et al.
  70. Research on Distracted and Fatigue-Related Driving Behavior Detection Based on YOLOv12-LAD ↗ · 2026 · Liu, Xiyao et al.
  71. Real-Time Drowsiness Detection Using YOLOv11 in Driver Monitoring Systems ↗ · 2026 · Lokeshappa, Santhosh Kumar Kadur et al.
  72. A HYBRID EDGE-AI FRAMEWORK FOR LOW-COST DRIVER DROWSINESS DETECTION USING EAR AND MOBILENETV2 IN NIGERIAN DRIVING ENVIRONMENTS ↗ · 2026 · LUWANI, ISHAYA et al.
  73. Distracted Driving Behavior Recognition Through Posture Estimation ↗ · 2026 · Lv, Hui et al.
  74. Hybrid GNN-Based Driver Monitoring System using Facial Landmarks ↗ · 2026 · M, Poojitha et al.
  75. Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al.
  76. Lightweight Driver Drowsiness Detection Model Using MediaPipe Blendshapes and a Dual-Attention Hierarchical BiLSTM ↗ · 2026 · Mangalesh Chavan, Suhas et al.
  77. Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya
  78. Real-Time Distracted Driver Detection on Embedded Edge Devices Using Multi-Region CNN Embeddings ↗ · 2026 · Mohan, Rushil
  79. LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network ↗ · 2026 · Namachivayam, Abirami et al.
  80. Deep Learning Based Automated Drowsiness Detection System for Enhanced Road Safety ↗ · 2026 · Negi, Nitam et al.
  81. Adaptive Multi-Modal Driver Drowsiness Detection Using Temporal Convolutional Networks ↗ · 2026 · P, Gurumoorthy et al.
  82. A Multi-Level Alerting Framework for Detecting Driver Drowsiness ↗ · 2026 · Pandimeena, R et al.
  83. Driver Drowsiness Detection and Prevention using You Only Look Once (YOLO) ↗ · 2026 · Pathak, Divyansh et al.
  84. Automatic Drowsiness Alert and Lane Change System ↗ · 2026 · N. S. Patil
  85. Differential Self-Attention in 1-D CNNs for Driver Inattention Detection Using Multimodal Biosignals ↗ · 2026 · Pavan, Kaveti et al.
  86. Vision-Based Driver Drowsiness Detection and Smart Alert System ↗ · 2026 · Pawar, Aarti et al.
  87. AI based Driver Drowsiness &amp; Distraction Detection ↗ · 2026 · P.B, Prof..Rajole et al.
  88. A comparative review of driver drowsiness detection systems: Recent advances, applications, challenges, and future directions ↗ · 2026 · Peker, Nur Yasin et al.
  89. An Explainable Real-Time Driver Drowsiness Detection System Using Vision Transformers and Behavioral Fatigue Indicators · 2026 · Pisolla Rahul, Mohammed Afridi et al.
  90. Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al.
  91. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al.
  92. Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas et al.
  93. DS-Model: Dual-Stream Driver Distraction Detection Model Based on Guiding Learning ↗ · 2026 · Qin, Binbin et al.
  94. Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al.
  95. ICK-PANet: A Multiscale Driver Distraction Detection Network Based on Attention and Pyramid Convolution ↗ · 2026 · Qin, Binbin et al.
  96. Smartguard: AI-driven drowsiness and health monitoring for drivers ↗ · 2026 · R, Sharmikha Sree et al.
  97. Driver Monitoring Systems: Advances, Challenges, and Future Directions in Noncontact Sensor Technologies: A Review ↗ · 2026 · Rahman, Anima et al.
  98. Prevention of Road Accident by Implementing the Driver Drowsiness Detection and Driver Alert System · 2026 · Raju, S. Razaul Karim et al.
  99. Visionguard: An Intelligent Driver Behavior Monitoring System Using OpenCV for Enhanced Road Safety and Accident Prevention ↗ · 2026 · Ramya, R. et al.
  100. Comparative Analysis of the Yolo Method with the Ear and Mar Methods for Drowsiness Detection in the Driving Performance Index Evaluation Application ↗ · 2026 · Rasyid, Muhammad Akida Jabbar et al.
  101. Vision Transformer-Based Real-Time Driver Drowsiness Monitoring with Enhanced Safety Performance ↗ · 2026 · Reddy, Anduri Manisha et al.
  102. Smart Drowsiness Detection for Safe Driving ↗ · 2026 · Ritik, Ravi Shankar, Yogesh, Rahul Kumar et al.
  103. AI-Based Driver Drowsiness Detection using Eye Blink Monitoring with Automated Speed Control and Warning Alert ↗ · 2026 · S, Manubrindha. et al.
  104. A reproducible framework for road-view driver behaviour analysis using lane stability and vehicle interaction ​ ↗ · 2026 · Sadu, Chandra Vamsi et al.
  105. DriveSafe-AI: A Real-Time Browser-Based System for Driver Drowsiness and Distraction Detection ↗ · 2026 · Sai, Sammangi Krupa
  106. Smart Driver Monitoring System Using Yolov10 ↗ · 2026 · Sathya M et al.
  107. Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model. · 2026 · Saxena S et al.
  108. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al.
  109. Comparative Analysis of Deep Learning Architectures for Real-Time Driver Distraction Classification: Spatial, Temporal, and Attention-Based Approaches ↗ · 2026 · Seong, Younho et al.
  110. Dimensional Emotion-Guided Conditional Modulation for Context-Aware Multimodal Driver Affect Recognition ↗ · 2026 · Shen, Wei et al.
  111. Enhancing Road Safety through Deep Learning Approach for Driver Distraction and Drowsiness Detection ↗ · 2026 · Shenbagaraman, Madhumita et al.
  112. Driver Drowsiness Detection System ↗ · 2026 · Shrivastava, Tanmay
  113. Domain-Aware Spatial-Temporal Selective Gated LSTM for Real-Time Driver Drowsiness Detection ↗ · 2026 · Siagian, Novriadi Antonius
  114. Embedded Real-Time Multi-Risk Detection: An EdgeML-Powered System for Driver Monitoring ↗ · 2026 · Silva, Hyago V. L. B. et al.
  115. A Transfer Learning-Based Framework for Real-Time Driver Distraction Detection on Edge Devices ↗ · 2026 · Singh, Yuvraj et al.
  116. WINDSHIELD, MOBILE PHONE, AND SEAT BELT DETECTION USING YOLOV11 FOR DRIVER MONITORING SYSTEMS ↗ · 2026 · SOULMANA, Billal et al.
  117. Driver Attention Monitoring Using Camera ↗ · 2026 · Srivastava, Vaibhav et al.
  118. Thermal-Based Driver Monitoring in an Automotive Environment Using a Mobile Camera: A Feasibility Study ↗ · 2026 · Stoyanov, Yordan
  119. Real-Time Driver Drowsiness and Distraction Detection System ↗ · 2026 · Suhas H S, Suhas H S
  120. Leveraging explainable artificial intelligence to improve advanced driver assistance systems through driver eye-tracking interpretation ↗ · 2026 · Sulle, Methusela et al.
  121. Real-Time Driver Distraction Detection System Using Embedded Vision ↗ · 2026 · T, Venkat Raman
  122. Driver Inattention Detection Using a Hybrid Vision Transformer and BiLSTM ↗ · 2026 · Teja, Devanaboyina Manikanta et al.
  123. Driver Fatigue Monitoring System Using an Artificial Intelligence Algorithm Model ↗ · 2026 · Qabeela Q. Thabit*
  124. Evaluating inattention behaviour of Indian bus drivers using AI-powered driver monitoring systems ↗ · 2026 · Thakur, Dev Singh et al.
  125. Driver state monitoring and assisted intervention based on deep learning ↗ · 2026 · Thanh, Nguyen Le Chau et al.
  126. Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G.
  127. Ocular-Behavioral Metrics for Driver State Classification for Indian Driving Contexts: KSS-Based Evaluation, Conformance and Implementation Challenges ↗ · 2026 · Verma, Harshal et al.
  128. Wearable biosensor monitoring of driver fatigue in intelligent transport systems: A systematic review and IoT framework · 2026 · Vovk, Yaroslav et al.
  129. Automatic Test Method of Driver Monitoring System (DMS) Based on Video Injection ↗ · 2026 · Wang, Fengjiao et al.
  130. Driver Distraction Detection Based on Large Kernel Convolution and Attention Mechanism ↗ · 2026 · Wang, Tao et al.
  131. DrowsyDG-Phys: Generalizable driver drowsiness estimation in conditional automated vehicles using physiological signals ↗ · 2026 · Wang, Jiyao et al.
  132. Fatigued Driving Detection Algorithm Based on Improved YOLOv8 ↗ · 2026 · Wen, Ya et al.
  133. Driver distraction detection method based on YOLOv11s ↗ · 2026 · Xia, Xinghua et al.
  134. Confidence-driven adaptive time window for real-time driver fatigue detection in Level 2-3 autonomous vehicles: a multi-dataset validation study · 2026 · Xie, Wantong et al.
  135. Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation ↗ · 2026 · Yar, Hikmat et al.
  136. YOLO-Drive: Robust Driver Distraction Recognition under Fine-Grained and Overlapping Behaviors ↗ · 2026 · Yu, Zhichao et al.
  137. Assessing Driver Distraction From Unmanned Aerial Vehicles and Under‐Bridge Inspection Trucks: A Driving Simulator Study Using Eye Tracker and EEG ↗ · 2026 · Kusha, Zainab Afzali et al.
  138. 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.
  139. Dangerous driving behavior detection method in vehicle intelligent cockpit based on transwindow multimodal fusion ↗ · 2026 · Zhao, Minghui et al.
  140. Deformable Pyramid Sparse Transformer for Semi-Supervised Driver Distraction Detection ↗ · 2026 · Zhao, Qiang et al.
  141. Hybrid-Aligned Domain Adaptation for Driver Distraction Recognition ↗ · 2026 · Zhou, Ximing et al.
  142. SE-Driven Dynamic Convolution for Adaptive EEG-Based Driver Fatigue Detection Across Spectral, Spatial, and Temporal Domains ↗ · 2026 · Zhou, Tianle et al.
  143. Design a Driver Fatigue Intelligent Monitoring Cap Based on the Fusion of EEG and Blink Signals ↗ · 2026 · Rui Zhu et al.
  144. Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
  145. Vision-Based Driver Drowsiness and Distraction Detection through Behavioral Indicators of Fatigue ↗ · 2025 · Adhikari, Manoj et al.
  146. The Combined Effect of Alcohol and Sleepiness on Eye Tracking Features: Implications for Driver Monitoring Systems ↗ · 2025 · Ahlström, Christer et al.
  147. Harnessing Transfer Learning for Multimodal Driver Drowsiness Detection: CNN-Based Pretrained Models ↗ · 2025 · Ahmad, Khubab et al.
  148. Monitoring Pilot Driving Status based on Facial Features and Physiological Signals under a Single-pilot Flight Mode ↗ · 2025 · Ai, Jingfei
  149. Deep Learning Based Driver Drowsiness Detection in Real Time Environment - An Enhanced Approach ↗ · 2025 · Ajay, Ashin et al.
  150. An Intelligent Driver Tracking and Driving Analysis Reporting System ↗ · 2025 · Akalan, Ferhat et al.
  151. Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement ↗ · 2025 · Akhmedov, Farkhod et al.
  152. Real-time driver activity detection using advanced deep learning models ↗ · 2025 · AL Emran, Md. et al.
  153. A biometric-based intelligent monitoring system for early detection and prevention of driver fatigue and distraction ↗ · 2025 · Alaqbawe, Sakher et al.
  154. An Active Learning and Deep Attention Framework for Robust Driver Emotion Recognition ↗ · 2025 · Al-dabbagh, Bashar Sami Nayyef et al.
  155. Multimodal Fusion of Heart Rate and Gaze Data For Real-Time Driver Monitoring in Naturalistic Driving ↗ · 2025 · Alhumaily, Basim et al.
  156. A Facial-Expression-Aware Edge AI System for Driver Safety Monitoring ↗ · 2025 · Almodhwahi, Maram A. et al.
  157. Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al.
  158. Driver Drowsiness Detection System using Machine Learning Approaches ↗ · 2025 · Anupriya, Anupriya et al.
  159. Real-Time Distracted Driver Detection and Monitoring using Computer Vision ↗ · 2025 · Anusha, K. et al.
  160. Universal Driver Alertness and Monitoring System : A Compact, Camera-Based Real-Time Safety System for All Vehicles ↗ · 2025 · Anwar, Muhammad Arsal et al.
  161. Multi‐Fatigue Feature Selection and Fuzzy Logic‐Based Intelligent Driver Drowsiness Detection ↗ · 2025 · Arava, Mohan et al.
  162. Dynamic cross-domain transfer learning for driver fatigue monitoring: multi-modal sensor fusion with adaptive real-time personalizations ↗ · 2025 · Aravinth, S. S. et al.
  163. Predicting Driving State, Intent to Merge and Working Memory Load from Eye-Tracking Data Collected in a Driving Simulator Study ↗ · 2025 · Arndt, Rimo Aron
  164. Accident Detection and Driver Drowsiness Detection System ↗ · 2025 · Ashtekar, Om et al.
  165. Driver Monitoring System ↗ · 2025 · author et al.
  166. Accident Prevention System for Drivers Safety · 2025 · Garje, Avantika
  167. Real-Time Driver Fatigue Detection and Alert System ↗ · 2025 · Avşar, Murat et al.
  168. HAAR CASCADE ALGORITHM FOR MICROSLEEP DETECTION ↗ · 2025 · Awang, Norkhushaini et al.
  169. Guardian of Awake Journeys: A Real-Time Drowsiness Monitoring System for Automotive Drivers ↗ · 2025 · Babu, S. Dilli et al.
  170. Research on Driver Fatigue and Distraction Detection Method Based on YOLOv8 Algorithm ↗ · 2025 · Bai, Jing et al.
  171. 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.
  172. Real-Time In-Cabin Monitoring of Driver Fatigue Levels ↗ · 2025 · Balint, Robert et al.
  173. Edge-AttentionNet: Sobel-Enhanced Attention Network for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al.
  174. HOG-LMPCA: A Lightweight Model for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al.
  175. Advanced Driver Assistance Systems for Driver Health and Fatigue Monitoring Using Camera, Biometric Sensors, Telematics and Machine Learning ↗ · 2025 · Bhargav, Matavalam
  176. Eye Gaze Tracking Alarm System For Driver Distraction Detection ↗ · 2025 · Bhavya, S et al.
  177. Eff-DANet: An Efficient Attention-enhanced Deep-learning based Model for an Automated Driver Monitoring System ↗ · 2025 · Bhoyan, Fuyad Hasan et al.
  178. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al.
  179. Adaptive Driver Vigilance Monitoring System for Enhanced Road Safety · 2025 · Bodhale, U. N. et al.
  180. Adaptive Driver Vigilance Surveillance System · 2025 · Bodhale, U.N. et al.
  181. Low-Cost Eye-Tracking Fixation Analysis for Driver Monitoring Systems Using Kalman Filtering and OPTICS Clustering ↗ · 2025 · Brandstetter, Jonas et al.
  182. Driver Drowsiness and Fatigue Detection: An Investigation of Techniques and Challenges ↗ · 2025 · Cai, Kaiyeung
  183. Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al.
  184. YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al.
  185. Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al.
  186. Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving ↗ · 2025 · Chen, Pei-Ru et al.
  187. Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion ↗ · 2025 · Chen, Chengming et al.
  188. VLM-DM: Visual Language Models for Multitask Domain Adaptation in Driver Monitoring ↗ · 2025 · Chi, Haozhuang et al.
  189. Enhancing safe driving through real-time driver monitoring using triboelectric energy harvesting and deep transfer learning ↗ · 2025 · Cho, Hyunwoo et al.
  190. MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
  191. Preventing Accidents Through Fatigue Detection An Intelligent Driver Alertness System ↗ · 2025 · Computer Science Department, JSS College of Arts Commerce and Science Ooty-Road, Mysuru. et al.
  192. Driver Drowsiness detection using Convolutional Neural Network ↗ · 2025 · Department of Computer Science and Engineering Chandigarh University, Mohali, Punjab et al.
  193. Real-Time Driver Vigilance Assessment Using Yolo and Deep Learning ↗ · 2025 · Dept of AD, East West Institute of Technology, Bengaluru et al.
  194. Driver Drowsiness Detection System ↗ · 2025 · Deshmukh, Pranjali
  195. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al.
  196. Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention ↗ · 2025 · Duongthang, Long
  197. Driver Drowsiness Detection System Using Machine Learning ↗ · 2025 · Dwivedi, Himanshi et al.
  198. CogniDrive: A HAAR-Cascade Approach for Smart Driver Monitoring and Safety ↗ · 2025 · E, Anitha et al.
  199. Drowsiness Detection System for Vehicles Using Raspberry PI ↗ · 2025 · EM, Athul Krishna
  200. A Comprehensive Examination of Machine Learning and Deep Learning Techniques for Driver Distraction Recognition ↗ · 2025 · Fan, Ruijie