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Paper introduces a tool, method, or platform (e.g., DReyeVR).

1588 papers carry this method tag, of 19870 that declare a method at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Performance Analysis of a Nonlinear Full Vehicle Model Using Double-Lane Change Maneuvers: A Comparison with CarSim ↗ · 2026 · Abd Kadir, Zulkiffli
Neuro-symbolic deep reinforcement learning for safe urban driving using low-cost sensors. ↗ · 2026 · Albilani, Mohamad
Collective Perception Virtual Safety Validation in Urban Environments: Scenarios, Tools, Metrics · 2026 · Bolovinou, Anastasia et al.
Iot-Enabled Real-Time Driver Monitoring System for Drowsiness and Alcohol Detection Using Arduino and OpenCV · 2026 · Rani, B Usha et al.
Comprehnsive Measurement and Evidential Evaluation of Driver Drowsiness and Alertness Warning System ↗ · 2026 · Balasubrahmanyan, Chappagadda et al.
REAL TIME DRIVER ALERTNESS MONITORING USING MACHINE LEARNING · 2026 · B.GNANESHWAR et al.
A Trend-Guided Testing Framework Balancing Risk and Coverage to Accelerate Autonomous Vehicle Safety Validation ↗ · 2026 · Bian, Jiang et al.
Evaluating User Experience and Simulator Sickness in a Driving Simulator Evaluation of a Traffic-Support Mobile Application ↗ · 2026 · Burger, Gregor et al.
ODD and Behavior-Based Approach to Scenario Coverage for Automated Driving Systems Testing ↗ · 2026 · Chodowiec, Emil et al.
Driver Behavior Profiling Through Jerk Dynamics and Statistical IMU Descriptors ↗ · 2026 · Damian, Danut Dragos et al.
MRDrive: An Open Source Mixed Reality Driving Simulator for Automotive User Research ↗ · 2026 · Ebel, Patrick et al.
On-Demand All-Red Interval (ODAR): Evaluation and Implementation in Software-in-the-Loop Simulation ↗ · 2026 · Erdağı, İsmet Gökşad et al.
Connected and Automated Vehicle Scenario Manager Graphical User Interface ↗ · 2026 · Fedotenkov, Alexey et al.
Intelligent Tutoring in a Driving Simulator: Enhancing Driving Proficiency With AI-Driven Skill Assessment and Personalized Coaching Generation ↗ · 2026 · Gan, Wenbin et al.
A Novel IMU-Based Aggressiveness Index for Driver Behavior Assessment Using Wearable Sensing ↗ · 2026 · Garrosa, María et al.
A novel EEG-driven multidimensional modelling of the Driver Performance Envelope for a user-centred human-vehicle interaction · 2026 · Giorgi, Andrea et al.
Global stability of vehicle-with-driver dynamics via Sum-of-Squares programming ↗ · 2026 · Gulisano, Martino et al.
A fatigue driving detection method based on driver posture and facial state analysis ↗ · 2026 · Hao, Yuting et al.
A Hybrid Optimal Acceleration Evaluation Model for Automated Driving Based on Importance Sampling Method ↗ · 2026 · Jiang, Haobin et al.
Reliability and Validity of the Japanese Adelaide Driving Self-Efficacy Scale in Community-Dwelling Drivers ↗ · 2026 · Kagino, Shohei et al.
Vision-Based Driver Alertness Monitoring Using LSTM-Based Cognitive Drift Analysis and Post- Detection Verification ↗ · 2026 · Kavitha, D.N.S.B et al.
Drowseguard Ai: Driver Drowsiness Detection System ↗ · 2026 · Kompalli, Udayasri et al.
Driver behavior classification for stop-n-go traffic via machine learning based driver model ↗ · 2026 · Kopeczi-Bocz, Akos T. et al.
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.
Research on Driver Drowsiness and Distraction Detection System ↗ · 2026 · Lade, Eshwari
Driving impairment in patients with movement disorders: examining the Baylor driving questionnaire by objective driving assessment ↗ · 2026 · Lenka, Abhishek et al.
Topological Analysis of OpenDRIVE Models for Advanced Autonomous Vehicle Simulations ↗ · 2026 · Lógó, J. M. et al.
CoDEA: A framework for extraction and augmentation of cooperative lane-changing scenarios from naturalistic driving data ↗ · 2026 · Li, Ye et al.
A MULTIMODAL DRIVER-SAFETY SYSTEM TO SUPPORT TEEN DRIVERS USING COMPUTER VISION AND SENSOR FUSION ↗ · 2026 · Liu, Max et al.
Research on Distracted and Fatigue-Related Driving Behavior Detection Based on YOLOv12-LAD ↗ · 2026 · Liu, Xiyao et al.
A HYBRID EDGE-AI FRAMEWORK FOR LOW-COST DRIVER DROWSINESS DETECTION USING EAR AND MOBILENETV2 IN NIGERIAN DRIVING ENVIRONMENTS ↗ · 2026 · LUWANI, ISHAYA et al.
A Survey and Empirical Benchmarking of Grading Methods for Interactive Autonomous Driving Scenarios ↗ · 2026 · Ma, Runpu et al.
Field Data Evaluation and Prototype Implementation for Real-Time Video Quality Assessment in Remote Driving ↗ · 2026 · Makino, Kiminobu et al.
RoadGuard: A Real-time Mobile-based road-hazard detection, warning, and hazard-aware route recommendation system for road users and vehicles ↗ · 2026 · Mashrafi, Ali Sadman et al.
Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya
Driving behavior recognition and scoring: A Bayesian approach to driving simulator data analytics ↗ · 2026 · Pourghasemi, Mohammad et al.
Real-Time Distracted Driver Detection on Embedded Edge Devices Using Multi-Region CNN Embeddings ↗ · 2026 · Mohan, Rushil
Advanced Driver Safety: A Steering Wheel Prototype for Real-Time Physiological and Kinematic Monitoring ↗ · 2026 · Šmondrk, Maroš et al.
LiteDriveNet for driver distraction classification using a lightweight multi-scale convolutional neural network ↗ · 2026 · Namachivayam, Abirami et al.
Saxton Transportation Operations Laboratory Web-Based and Open-Source Tools for Connected and Automated Vehicle (CAV) Research and Deployment [fact sheet] · 2026 · NHTSA
Dual-Mode Model Predictive Motion Cueing ↗ · 2026 · Nicolai, Tim et al.
Driver Drowsiness Detection and Prevention using You Only Look Once (YOLO) ↗ · 2026 · Pathak, Divyansh et al.
An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al.
Test case sampling optimization for safety validation of automated driving systems · 2026 · Qian, Chen et al.
Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al.
Prevention of Road Accident by Implementing the Driver Drowsiness Detection and Driver Alert System · 2026 · Raju, S. Razaul Karim et al.
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.
Smart Drowsiness Detection for Safe Driving ↗ · 2026 · Ritik, Ravi Shankar, Yogesh, Rahul Kumar et al.
Development and validation of a sensor-integrated smart driving test system for automated, scalable, and objective driver performance evaluation. · 2026 · Sabry, ES et al.
A reproducible framework for road-view driver behaviour analysis using lane stability and vehicle interaction ↗ · 2026 · Sadu, Chandra Vamsi et al.
DriveJudge: Tool-Grounded Evaluation of Generative Driving Simulations with Vision–Language Models ↗ · 2026 · Scharffe, Matthieu et al.
Preventive Driver Analysis System for Highway Hypnosis ↗ · 2026 · Sevdik, Bilge
Virtual Validation of ADAS Algorithms Using Driver-in-the-Loop Simulation ↗ · 2026 · Sharma, Chinmaya et al.
Enhancing Road Safety through Deep Learning Approach for Driver Distraction and Drowsiness Detection ↗ · 2026 · Shenbagaraman, Madhumita et al.
WINDSHIELD, MOBILE PHONE, AND SEAT BELT DETECTION USING YOLOV11 FOR DRIVER MONITORING SYSTEMS ↗ · 2026 · SOULMANA, Billal et al.
INTELLIGENT MANAGING THE DRIVING STYLE OF THE ADR DRIVER IN REAL TIME ↗ · 2026 · Stefanovic, M. et al.
Thermal-Based Driver Monitoring in an Automotive Environment Using a Mobile Camera: A Feasibility Study ↗ · 2026 · Stoyanov, Yordan
A Trajectory Data-Driven Personalized Autonomous Driving Decision System for Driving Simulators ↗ · 2026 · Sun, Wenpeng et al.
Scenario-Driven Reinforcement Learning Method for Autonomous Driving Inspired by Item Response Theory ↗ · 2026 · Sun, Chengju et al.
DrivNet: Adaptive driving behavior prediction for improving the safety of multimodal transportation in autonomous vehicle systems ↗ · 2026 · Theivadas, J Robert et al.
Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G.
Automatic Test Method of Driver Monitoring System (DMS) Based on Video Injection ↗ · 2026 · Wang, Fengjiao et al.
Driver Distraction Detection Based on Large Kernel Convolution and Attention Mechanism ↗ · 2026 · Wang, Tao et al.
Practical validation of synthetic pre-crash scenarios ↗ · 2026 · Wu, Jian et al.
M2SimVR: Multi-modal Mobility Simulation with VR, E-Scooter, Driving Simulator, SUMO, and Unity Integration ↗ · 2026 · Yang, Zhiwei et al.
A driving visibility index for evaluating urban road driving safety based on point cloud data ↗ · 2026 · Zhang, Zhirong et al.
Advancements and Insights in Assessing Cognitive Load During Driving: A Comprehensive Narrative Review ↗ · 2026 · Zhang, Peijiang et al.
AN INTELLIGENT DRIVING SIMULATION SYSTEM TO IMPROVE HAZARD RESPONSE TRAINING USING UNITY, LOGITECH WHEEL INPUT, AND LLM APIS ↗ · 2026 · Zhou, Haoran et al.
Verification and Calibration of Microscopic Traffic Simulation Using NDS and Video Data for Alternative Intersections and Freeway Merge and Diverge Areas · 2026 · Zhou, Huaguo et al.
Harnessing Transfer Learning for Multimodal Driver Drowsiness Detection: CNN-Based Pretrained Models ↗ · 2025 · Ahmad, Khubab et al.
An Intelligent Driver Tracking and Driving Analysis Reporting System ↗ · 2025 · Akalan, Ferhat et al.
Validation of Automated Driving Systems using Automation in Multi-sensor simulation ↗ · 2025 · Amargianos, Alexandros et al.
Unobtrusive Multimodal Monitoring of Physiological Signals for Driver State Analysis ↗ · 2025 · Amidei, Andrea et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Accident Prevention System for Drivers Safety · 2025 · Garje, Avantika
HAAR CASCADE ALGORITHM FOR MICROSLEEP DETECTION ↗ · 2025 · Awang, Norkhushaini et al.
Real-Time In-Cabin Monitoring of Driver Fatigue Levels ↗ · 2025 · Balint, Robert et al.
HOG-LMPCA: A Lightweight Model for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al.
Optimization-Based Scenario Space Sampling for Performance Boundary Estimation of Driver Reference Models ↗ · 2025 · Beckmann, Jobst et al.
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al.
Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al.
A Framework for Multi-Modal Driving Style Recognition Using Self-Supervised Contrastive Learning ↗ · 2025 · Boboc, Răzvan Gabriel et al.
Adaptive Driver Vigilance Surveillance System · 2025 · Bodhale, U.N. et al.
Driver Drowsiness Detection and Adaptive Braking System ↗ · 2025 · Borgohain, Chanakya et al.
Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al.
AI Based Driver Fattigue and Distraction Detection ↗ · 2025 · Shrutika Bothe et al.
Low-Cost Eye-Tracking Fixation Analysis for Driver Monitoring Systems Using Kalman Filtering and OPTICS Clustering ↗ · 2025 · Brandstetter, Jonas et al.
Gamified Smartphone App Engagement: Comparative Analysis of Belgian and UK Car Drivers in the i-DREAMS Project ↗ · 2025 · Brijs, Kris et al.
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers · 2025 · Cao, Hangcheng et al.
YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al.
Real-Time Closed-Loop E2E Driving: Dataset Refinement and Causal Reasoning in Digital-Twin Evaluation ↗ · 2025 · Chang, Haechul et al.
Developing a Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Pipeline for Vulnerable Road User Safety ↗ · 2025 · Chen, Haochong et al.
Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion ↗ · 2025 · Chen, Chengming et al.
Lifeline: A Traffic Jam, Road Safety, and Driver Assistant Smartphone Application With Driving License Application and Fitness Checking Features ↗ · 2025 · Chowdhury, Mahfuzulhoq et al.
An Open-Source Platform for Integrated Visualization, Analysis of Vehicle Dynamics and Driving Style ↗ · 2025 · Colmenares, Jon Ander Ruiz et al.
Human-Centered In-Vehicle Sensing Systems for Identifying Driving Pattern from Cognitive Decline Through Quantitative Analysis ↗ · 2025 · Moshfeghi, Sonia et al.
Quad-Tree-Based Driver Classification Using Deep Learning for Mild Cognitive Impairment Detection ↗ · 2025 · Ghoreishi, Seyedeh Gol Ara et al.
Building Reliable Sim Driving Agents by Scaling Self-Play · 2025 · Cornelisse, Daphne et al.
Classification of driving simulators validation: A case study using an immersive driving simulator ↗ · 2025 · Andriola, César et al.
Virtual Witness: Advancing Road Safety Through Automated Incident Detection and Analysis ↗ · 2025 · Deb, Anindita et al.
Real-Time Driver Vigilance Assessment Using Yolo and Deep Learning ↗ · 2025 · Dept of AD, East West Institute of Technology, Bengaluru et al.
Driver Drowsiness Detection System Using Machine Learning ↗ · 2025 · Dwivedi, Himanshi et al.
ISO 26262 RAMS Design of a Jetson Nano-Based Prototype for Non-Contact Vital Signs and Driver Fatigue Monitoring ↗ · 2025 · El Boussaki, Hoda et al.
Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al.
Vibe Coding in Practice: Building a Driving Simulator Without Expert Programming Skills · 2025 · Fortes-Ferreira, Margarida et al.
Driver Driving Monitoring System Based on STM32 ↗ · 2025 · Fu, Tong et al.
Drowsiness Detection and Alarming System · 2025 · Girijannavar, Laxmi R et al.
ITS4SDC at the ICST 2025 Tool Competition - Self-Driving Car Testing Track ↗ · 2025 · Güllü, Ali et al.
Enhancement of ADAS with Driver-Specific Gaze Profiling Algorithm—Pilot Case Study ↗ · 2025 · Gogola, Marián et al.
Open-Source Fleet Supervision for Real-World Multi-Vehicle Autonomous Driving ↗ · 2025 · Gontscharow, Martin et al.
Generative AI for Autonomous Driving: Frontiers and Opportunities · 2025 · Wang, Yuping et al.
Optimizing Test Case Sampling for Safety Validation of Automated Driving System with Naturalistic Driving Study · 2025 · Guo, Feng et al.
DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al.
Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder ↗ · 2025 · Hassam, Dhulfekar Dhurgham et al.
Rule-Based Detection of Turns and Curves in Naturalistic Driving Using GPS and Gyroscope Data ↗ · 2025 · Hassanin, Omar et al.
A Differential 2D Gaussian Ellipse-Based Eye Movement Analysis · 2025 · Zhang, Jiahao et al.
Pilot Application of Biometric-Based Vehicle Occupancy Detection on Managed Lanes for Congestion Reduction · 2025 · Hendricks, Sara J. et al.
The Dashboard of Remote Monitoring System for Driver Fatigue ↗ · 2025 · Hidayat, Ramanda Nur et al.
A Preliminary Investigation into the Design of Driver Evaluator Using a Physics-Assisted Machine Learning Technique ↗ · 2025 · Hou, Mingke et al.
An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators ↗ · 2025 · Huang, Xiaowei et al.
DIVP®'s Digitalization for ADS/ADAS Safety Assurance ↗ · 2025 · Inoue, Hideo
Multifaceted sensor-based approach for road quality assessment in the Indian road scenario ↗ · 2025 · Jawale, Anupama et al.
Simulation-Based Logical Scenario Generation and Analysis Methodology for Evaluation of Autonomous Driving Systems ↗ · 2025 · Jeon, Jongwon et al.
A naturalistic trajectory dataset with dense interaction for autonomous driving ↗ · 2025 · Jiang, Xiyan et al.
Route-Preview Adaptive Model Predictive Motion Cueing for Driving Simulators ↗ · 2025 · Jiang, Xue et al.
DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al.
Analysis of a Driving Simulator’s Steering System for the Evaluation of Autonomous Vehicle Driving · 2025 · Dols, Juan F. et al.
A Study on the Methodology to Develop Virtual Drive Environment for Autonomous Driving Evaluation ↗ · 2025 · Kang, Wonyul et al.
Pydre: A Python package for driving simulation data reduction ↗ · 2025 · Kerwin, Thomas
Scenario-Based Testing of Automated Driving Functions Using Sampling and Iterative Optimization in a Modular Framework ↗ · 2025 · Kirchengast, Martin et al.
Application of neural networks in vehicle simulation as a substitute for driver models ↗ · 2025 · Koller, Tamás et al.
Driver Intention Monitoring System for SDV Applications ↗ · 2025 · Koppolu, Pavani et al.
Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ↗ · 2025 · Kumar, Mithun et al.
Monitoring Driver Alertness with OpenCV and Machine Learning ↗ · 2025 · Kumar, Amareswar et al.
A Study on Evaluation Methods for Autonomous Driving Safety in DDT Fallback ↗ · 2025 · Lee, Myungsu et al.
Instant Inverse Modeling of Stochastic Driving Behavior With Deep Reinforcement Learning ↗ · 2025 · Lee, Dongsu et al.
Adaptive Driver Takeover Algorithm Based on TPB-Extended Framework: Algorithm Validation and Performance Analysis ↗ · 2025 · Li, Ruiwei et al.
Automated driving index study ↗ · 2025 · Li, Na et al.
Enhanced Broad-Learning-Based Dangerous Driving Action Recognition on Skeletal Data for Driver Monitoring Systems ↗ · 2025 · Li, Pu et al.
Fatigue Driving Detection by Fusing Neural Network and Physiological Indicator ↗ · 2025 · Li, Muze
Performance evaluation strategy of autonomous driving algorithms based on driving simulator ↗ · 2025 · Li, Mingfeng et al.
REViVe: Development of a reactive environmental vigilance in-vehicle system to mitigate drowsiness-induced inattention during automated driving ↗ · 2025 · Lim, Chiho et al.
Computer Vision-Based Driver Behavior Analysis and Fatigue Detection System for Advanced Driver Assistance ↗ · 2025 · Liu, Litao et al.
Rapid detection of driver steering and braking errors in extreme driving environments ↗ · 2025 · Liu, Yangyi et al.
ResNet50 Architecture and AttenD Algorithm-based Driver Distraction Detection Method ↗ · 2025 · Liu, Xiaoyang et al.
A “digital twin” traffic simulation tool for network-wide real-time traffic monitoring and management ↗ · 2025 · Lu, Weike et al.
Automated CMV Inspection Demonstrations and Evaluations · 2025 · Ma, Jiaqi et al.
Social network analysis in driver monitoring systems: understanding the impact of predictive models on driver safety ↗ · 2025 · Madhumita, S. et al.
Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion ↗ · 2025 · Malik, Meenakshi et al.
Generation of Multiple Types of Driving Scenarios with Variational Autoencoders for Autonomous Driving ↗ · 2025 · Mammen, Manasa Mariam et al.
Driver Training for Shared Autonomy Systems Using Mixed Reality · 2025 · Mangharam, Rahul et al.
Development of a 6-DoF Driving Simulator with an Open-Source Architecture for Automated Driving Research and Standardized Testing ↗ · 2025 · Meiners, Martin et al.
Development of a 6-DoF Driving Simulator with an Open-Source Architecture for Automated Driving Research and Standardized Testing ↗ · 2025 · Meiners, Martin et al.
Use of Predictive Road Safety Analytics: Integrating Internal and External Driving and Journey Management Data with Power BI ↗ · 2025 · Mendoza, David
Real-Time Driver Behavior Detection for Alert Using Bootstrapped Cross-Validation and Optimized Resnet-50 ↗ · 2025 · Mohsin, Ahmed Raza et al.
Evaluation of the Reality Gap in End-to-End Driving: A Controlled Study Using Indoor Positioning System ↗ · 2025 · Mészáros, László et al.
Mobile and Web Tools for Analyzing Driver Mental States in Simulated Tests ↗ · 2025 · Nagy, Viktor et al.
Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection ↗ · 2025 · Nakagama, Yutaro et al.
Generative Narrative-Driven Game Mechanics for Procedural Driving Simulators ↗ · 2025 · Rodrigues, Nelson et al.
Practical Considerations in Building a Simulation-Based Driver Monitoring Evaluation System: Focus on Virtual Driver Generation* ↗ · 2025 · Oh, C. et al.
SOFTWARE PART OVERVIEW FOR THE AUTOMATED SYSTEM OF MONITORING THE DRIVER'S HEALTH CONDITION ↗ · 2025 · Oles Honchar Dnipro National University et al.
Driver Drowsiness Detection for Accident Prevention ↗ · 2025 · Pallavi M et al.
Road Safety by Detecting Drowsiness while Driving using Machine Learning · 2025 · Pardhi, Piyush
Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease ↗ · 2025 · Parhizi, Behdad et al.
A Systematic Literature Review on Safety of the Intended Functionality for Automated Driving Systems · 2025 · Patel, Milin et al.
Evaluation of the Effectiveness of Driver Training in the Use of Advanced Driver Assistance Systems ↗ · 2025 · Pełka, Małgorzata et al.
Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset ↗ · 2025 · Puphal, Tim et al.
Development of a Networked Multi-Participant Driving Simulator with Synchronized EEG and Telemetry for Traffic Research ↗ · 2025 · Ramlall, Poorendra et al.
MOEI Drive: An iOS App for Real-Time Driving Behavior Monitoring and Eco-Driving Promotion ↗ · 2025 · Rashid, Amna et al.
Automated methods of detecting driver distractions ↗ · 2025 · Reimer, Bryan
DriVQA: A gaze-based dataset for visual question answering in driving scenarios ↗ · 2025 · Rekanar, Kaavya et al.
Increasing Accessibility of Driver Training Through Scholarships and Technological Intervention · 2025 · Ryerson, Megan S et al.
PENERAPAN ALGORITMA DECISION TREE PADA WEBSITE ANALISIS PROFILE TRUCK DRIVER BERBASIS AI ↗ · 2025 · Safiq Alfiansyah, Nanda et al.
Driving Drowsiness Detection and Proactive Safety Using Deep Learning LSTM multimodal of Vision and Vehicle Signals ↗ · 2025 · Sanikal, Vijayachandar
Driving Assistance Based on an Online-Updated Personalized Driver Model ↗ · 2025 · Seki, Suzuka et al.
A Framework for Evaluating Driving Patterns of Automated Vehicle Based on On-Road Driving Records ↗ · 2025 · Seo, Younghoon et al.
XILS Credibility Assessment and Scenario Representativeness Methodology Based on Geometric Similarity Analysis for Autonomous Driving Systems ↗ · 2025 · Han, Seungjae et al.
Autonix: Real-Time Driver Drowsiness and Crash Detection System · 2025 · Shaikh, Maizah et al.
Real-Time Driver Drowsiness and Distraction Detection Using Google ML Kit on Android Platforms ↗ · 2025 · Sharma, Shilpy et al.
Design of Data Driven Automated Driving Control Algorithm for Enhanced Human Acceptance ↗ · 2025 · Shin, Donghoon et al.
Validation of a Critical Driving Scenario Identification Algorithm for Automated Driving Functions Using Real and Synthetic Object Lists ↗ · 2025 · Simon, Kevin et al.
Intelligent Driver Phone Distraction Alert System ↗ · 2025 · Muttanna Fakkirappa Singadi et al.
Driver Drowsiness Detection Using CNN and HAAR ↗ · 2025 · Singh, Gaurav et al.
Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál
Lightweight Attention-based Temporal Modeling of Key Facial Features for Driver Fatigue Detection in Intelligent Driver Monitoring Systems ↗ · 2025 · Song, Bailing et al.
Cooperative Driving Automation — Highway Driving Simulator Architecture: High-Level Architecture Design · 2025 · Stark, John et al.
Beyond Breathalyzers: Towards Pre-Driving Sobriety Testing with a Driver Monitoring Camera · 2025 · Stent, Simon et al.
Driver Tracking in Automotive Environment Using Mobile Thermal Camera ↗ · 2025 · Stoyanov, Yordan
Design of Gaze Evaluation System in Driving Using Eye Tracking and Object Detection ↗ · 2025 · Thakulla, Jagat et al.
Road Type Classification of Driving Data Using Neural Networks ↗ · 2025 · Tollner, Dávid et al.
"Goals for Driver Education" Model as a Guide for Safe Driving Education and Training in Algeria ↗ · 2025 · Touil, Adel
Calibration of the Intelligent Driver Model (IDM) at the Microscopic Level ↗ · 2025 · Vasconcelos, Luís et al.
Enhanced safety for SDV through Camera-based Driver drowsiness detection ↗ · 2025 · Vijayasudhan, G et al.
Assessing the Effectiveness of a Dynamic Driving Simulator for ADAS Development—A Back-to-Back Subjective Validation Study on Lateral Guidance Systems ↗ · 2025 · Wei, Sijie et al.
Optimizing Computational Efficiency of MPC-Based Motion Cueing Algorithm for Vehicle Driving Simulators ↗ · 2025 · Xue, Hengyu et al.
Effectiveness evaluation of connected and automated vehicles’ driving loop: Node weights and driving reliability ↗ · 2025 · Yan, Junlian et al.
SimLKAS: a simulation-based framework for the verification and validation of lane keeping assistance systems ↗ · 2025 · Yang, Tianjia et al.
Design of the New Foot Psychomotor Vigilance Test (PVT) for Screening Driving Ability ↗ · 2025 · Yoshida, Yutaka et al.
Real-Time Fatigue Detection in Simulated Driving Using Facial Landmark-Based Deep Metrics ↗ · 2025 · Yueyang, He et al.