dataset paper

Paper introduces or describes a dataset.

641 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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Cooperative Driving and Collective Navigation Architectures for CCAVs: Contemporary Techniques, Simulators, Datasets, and Research Directions · 2026 · Ahiska, Kenan
Lifestyle and demographic characteristics linked to driving simple reaction time · 2026 · Asadamraji, Morteza et al.
A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al.
Driver Behavior Profiling Through Jerk Dynamics and Statistical IMU Descriptors ↗ · 2026 · Damian, Danut Dragos et al.
Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins et al.
Vocal Instability as a Sensitive Biomarker for Driving Stress: Decoupling Cognitive Load and Environmental Friction in a Real-World Dual-Task Protocol · 2026 · Doğan, Dağhan
An interactive enhanced driving dataset for autonomous driving ↗ · 2026 · Feng, Haojie et al.
An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al.
Turns and Downturns in Aging Drivers · 2026 · Hardt, Marie et al.
Comprehensive image dataset of flexible pavement: Alligator cracks and edge-breaks from national highway (N6) of urban areasZenodoZenodo ↗ · 2026 · Hossain, Md. Nayem et al.
SAFE-Drive: A Synergistic Adaptive Fusion Framework for Multimodal Driver Emotion Recognition in Real Driving Scenarios ↗ · 2026 · Huang, Yaning et al.
Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al.
Driver behavior classification for stop-n-go traffic via machine learning based driver model ↗ · 2026 · Kopeczi-Bocz, Akos T. et al.
CoDEA: A framework for extraction and augmentation of cooperative lane-changing scenarios from naturalistic driving data ↗ · 2026 · Li, Ye et al.
Data-Centric Autonomous Driving: A Data-Utilization Framework for Learning from Large-Scale Driving Logs ↗ · 2026 · Li, Yu et al.
Multimodal Phenotyping Dataset of Driving Fatigue ↗ · 2026 · Li, Jiayi et al.
Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al.
Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al.
Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data · 2026 · Papantoniou, Panagiotis et al.
Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al.
Exploring the Role of Driver Emotions and Physiology in Driving Risk Inference: A Multimodal Explainable AI Approach Using Instrumented Vehicle Data ↗ · 2026 · Vullapu, Sai Sesidhar et al.
OpenLKA: An Open Dataset of Lane Keeping Assist Systems in Real-World Driving from Recent Production Cars ↗ · 2026 · Wang, Yuhang et al.
Unsupervised Identification of Driving Styles from Naturalistic Driving Data Through a Context-Normalized Framework ↗ · 2026 · Xu, Cunzhi et al.
DriE-Cog dataset: A multimodal physiological–behavioural dataset for intelligent driving emergency response ↗ · 2026 · Zhang, Hongqiang et al.
Unsupervised Driving Behavior Primitive Inference via Hierarchical Segmentation and Context-Aware Clustering. ↗ · 2026 · Zhang L et al.
Identification of dynamic driving styles based on behavioral primitives. · 2026 · Zheng, X et al.
American Driving Survey: 2024 · 2025 · AAA Foundation for Traffic Safety
A strategic framework for road safety analysis in the connected and autonomous vehicle era ↗ · 2025 · Siddiqui, Abdul Basith et al.
Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
Metadata in the description of road scenarios for testing autonomous vehicles ↗ · 2025 · Rodak, Aleksandra
A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces ↗ · 2025 · Ammar, Sirine et al.
A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia ↗ · 2025 · Blake, Matthew et al.
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers · 2025 · Cao, Hangcheng et al.
Review and prospect of floating car data research in transportation ↗ · 2025 · Zhang, Chi et al.
MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
A Two-Stage Deep Contrastive and Ensemble Framework for Early Cognitive Impairment Recognition Using Vehicle Telematics ↗ · 2025 · Moshfeghi, Sonia et al.
Characterizing driver fingerprinting of new energy vehicles in risky scenarios: A naturalistic driving study ↗ · 2025 · Ding, Naikan et al.
RANCANG BANGUN SISTEM IDENTIFIKASI KELELAHAN BERDASARKAN DRIVING BEHAVIOUR ↗ · 2025 · Firdaus, Sukma et al.
Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al.
Video Quality Assessment Dataset with Advanced AI and QoE Metrics for TeleOperated Driving ↗ · 2025 · Frontelo, Ignacio Benito et al.
Comparability of driving automation crash databases ↗ · 2025 · Goodall, Noah J.
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets · 2025 · Guillermo, Roque, et al.
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation · 2025 · Roy, Parthib et al.
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset · 2025 · Zimmer, Walter et al.
Towards Vision Zero: The Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al.
Towards Vision Zero: The TUM Traffic Accid3nD Dataset ↗ · 2025 · Zimmer, Walter et al.
Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion ↗ · 2025 · Guan, Deyong et al.
Optimizing Test Case Sampling for Safety Validation of Automated Driving System with Naturalistic Driving Study · 2025 · Guo, Feng et al.
Situation Awareness for Driver-Centric Driving Style Adaptation ↗ · 2025 · Haselberger, Johann et al.
Enhanced Driver Profiling Through Clustering of Naturalistic Driving Data for Risk Evaluation and Insights ↗ · 2025 · Hermia, J. Janorious et al.
A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al.
Factors Affecting Driving Decisions and Vehicle Miles Traveled by Americans with Travel-Limiting Disabilities: Evidence from the 2022 National Household Travel Survey (NHTS) Data ↗ · 2025 · Ibukun, Oluwaseun et al.
A naturalistic trajectory dataset with dense interaction for autonomous driving ↗ · 2025 · Jiang, Xiyan et al.
A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al.
DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al.
Dataset for unflappable driving: UNFLAPSet ↗ · 2025 · Kim, SuBi et al.
The validity of the short driver behaviour questionnaire in varying road users groups in India: age, gender, and driving frequency ↗ · 2025 · Kshatriya, Rahul et al.
Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al.
Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota ↗ · 2025 · Li, Tianyi et al.
Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey ↗ · 2025 · Liu, Chenxi et al.
Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes · 2025 · Lu, Shengyu et al.
Follow the leader: a deep reinforcement learning framework for safe and efficient autonomous car-following ↗ · 2025 · Marín, Andrés L. et al.
SafeDriveMetrics - A Comprehensive Database for Visual, Cognitive, and Manual Distractions Using a Driving Simulator ↗ · 2025 · Mazumdar, Rahimul I. et al.
A Dataset for the Medical Support Vehicle Location–Allocation Problem ↗ · 2025 · Medina-Perez, Miguel et al.
DriveNet: A deep learning framework with attention mechanism for early driving maneuver prediction · 2025 · M'haouach, Mohamed et al.
Real-World Evaluation of Driver Cognitive Load Across Traffic Conditions Using Biometric Signals ↗ · 2025 · Nava, Alicia et al.
Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasks ↗ · 2025 · Nirabi, Ali et al.
Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset ↗ · 2025 · Puphal, Tim et al.
DriVQA: A gaze-based dataset for visual question answering in driving scenarios ↗ · 2025 · Rekanar, Kaavya et al.
Aerial video & trajectory dataset of vehicles on circular road ↗ · 2025 · Riehl, Kevin et al.
Evaluating the impact of music tempo on drivers and their performance using an artificial intelligence model: a multi-source data approach · 2025 · Shajari, Arian et al.
Factors influencing emotional driving: examining the impact of arousal on the interplay between age, personality, and driving behaviors · 2025 · Shangguan, Zhegong et al.
Evaluation of data collection and annotation approaches of driver gaze dataset ↗ · 2025 · Sharma, Pavan Kumar et al.
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-Critical Events Derived from Real-World Driving Data ↗ · 2025 · Shi, Liang et al.
Development of a framework for risky driving scenario identification, individual risk assessment, and group risk differences estimation using naturalistic driving data from the i-DREAMS project ↗ · 2025 · Song, Yanchao et al.
SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching · 2025 · Sumner, Emily et al.
Road Type Classification of Driving Data Using Neural Networks ↗ · 2025 · Tollner, Dávid et al.
Lane Change Inconsistencies in the highD Dataset ↗ · 2025 · Wang, Zhaohan et al.
VTD: Visual and Tactile Dataset for Driver State and Behavior Detection ↗ · 2025 · Wang, Jie et al.
Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis · 2025 · Helmi, Wibowo et al.
Model-Based Generation of Representative Rear-End Crash Scenarios Across the Full Severity Range Using Pre-Crash Data ↗ · 2025 · Wu, Jian et al.
RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information ↗ · 2025 · Wu, Xinzheng et al.
Collection duration of driving tracking data of older drivers ↗ · 2025 · Yamagishi, Misako
Driver Distraction Recognition Based on the Information Bottleneck Theory and Graph Convolutional Networks ↗ · 2025 · Zhang, Ji et al.
Corner Case Dataset for Autonomous Vehicle Testing Based on Naturalistic Driving Data ↗ · 2025 · Zhao, Jian et al.
Behavior-Aware Knowledge-Embedded Model for Driver Attention Prediction ↗ · 2025 · Zhou, Yuchen et al.
Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al.
AAA Longitudinal Research on Aging Drivers (LongROAD) Data User Guide · 2024 · AAA Foundation for Traffic Safety
American Driving Survey: 2023 · 2024 · AAA Foundation for Traffic Safety
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al.
Automatic extraction of relevant road infrastructure using connected vehicle data and deep learning model · 2024 · Adu-Gyamfi, Kojo Konadu
HopInAndAction: a benchmark for action recognition in the cockpit of a self-driving car driving outdoors ↗ · 2024 · Alex-Garnier, Tristan et al.
Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines · 2024 · Angkan, Prithila et al.
Modeling a Heavy-duty Vehicle Data Collection Process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress ↗ · 2024 · Biggs, Tyler et al.
Processing driving simulator data before statistical analysis by means of interpolation and an integral formula ↗ · 2024 · Ariën, Caroline et al.
Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model ↗ · 2024 · Cheng, Qimin et al.
Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems ↗ · 2024 · de Gelder, Erwin et al.
Practical Self-Supervised Contrastive Driver Maneuver Interaction Learning via Augmenting Inertial Measurement Unit Signals ↗ · 2024 · Deng, Yawen et al.
Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang
CAN-Modes: In-vehicle datasets generation and analysis in different driving situations ↗ · 2024 · Dos Santos Roque, Alexandre et al.
Using mobile devices for driving test assessment: a study of acceleration and GPS data ↗ · 2024 · Driessen, Tom et al.
DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding · 2024 · Duah, John Owusu et al.
Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition ↗ · 2024 · Gao, Hang et al.
Driver Activity Classification Using Generalizable Representations from Vision-Language Models · 2024 · Greer, Ross et al.
Exploring Driver Diversity in Post-Takeover Stabilization Based on Demographic Data ↗ · 2024 · Gruden, Timotej et al.
Data Handling: Good Practices in the Context of Naturalistic Driving Studies ↗ · 2024 · Haddad, Christelle Al et al.
Human-Like Behaviour for Automated Vehicles (HLB4AV) Naturalistic Driving Dataset ↗ · 2024 · Igneczi, Gergo Ferenc et al.
Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al.
A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al.
Extracting Scenarios for Automated Driving Systems: A Statistical Based Occupation-Grid Approach with Deep Semi-Supervised Learning* ↗ · 2024 · Kheriji, Walid et al.
DataSet for Unflappable Driving : UNFLAPSet ↗ · 2024 · Kim, SuBi et al.
myEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking Dataset ↗ · 2024 · Kumar, Bhaiya Vaibhaw et al.
A Naturalistic Driving Study for Lane Change Detection and Personalization · 2024 · Lakhkar, Radhika Anandrao et al.
Characterizing driver behavior using naturalistic driving data ↗ · 2024 · Lee, Jooyoung et al.
Driving-Related Cognitive Abilities Prediction Based on Transformer’s Multimodal Fusion Framework ↗ · 2024 · Li, Yifan et al.
Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al.
Spanish adaptation and validation of the Dula Dangerous Driving Index (DDDI) · 2024 · María T. Sánchez‐López et al.
Simulation-based driver scoring and profiling system ↗ · 2024 · Medarević, Jelena et al.
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al.
Novice Teen Driver Education Data Collection Guide · 2024 · NHTSA
Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles · 2024 · Ogle, Jennifer H et al.
Associations between taxi drivers aggressive driving behavior and sleep, cognitive function, and depression · 2024 · Ok, Jong Sun et al.
Driving Reality vs Simulator: Data Distinctions ↗ · 2024 · Piaseczna, Natalia et al.
Dual license plate recognition and visual features encoding for vehicle identification ↗ · 2024 · Ramajo-Ballester, Álvaro et al.
SceNDD++: An Enhanced Scenario-based Naturalistic Driving Dataset ↗ · 2024 · Ranjan, Nitya et al.
Disparities in Access to Driver Education for Teens as a Health and Mobility Equity Issue · 2024 · Ryerson, Megan S et al.
Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al.
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning · 2024 · Sachdeva, Enna et al.
Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al.
ROStopbox: A Human-Centered Vehicle Environment Data Acquisition System ↗ · 2024 · Schneider, Daniel et al.
Extracting Vehicle Trajectories from Partially Overlapping Roadside Radar ↗ · 2024 · Schrader, Maxwell et al.
Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al.
Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al.
Driving fingerprinting enhances drowsy driving detection: Tailoring to individual driver characteristics ↗ · 2024 · Sun, Yifan et al.
Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach ↗ · 2024 · Sun, Lichen et al.
Third Generation Simulation Data (TGSIM): A Closer Look at The Impacts of Automated Driving Systems on Human Behavior · 2024 · Talebpour, Alireza et al.
A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al.
A deep dive into enhancing sharing of naturalistic driving data through face deidentification ↗ · 2024 · Thapa, Surendrabikram et al.
Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities · 2024 · Usman, Sheikh Muhammad et al.
A Method of Generating a Composite Dataset for Monitoring of Non-Driving Related Tasks ↗ · 2024 · Wu, Xian et al.
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems ↗ · 2024 · Zhang, Chaopeng et al.
A Method of Intelligent Driving-Style Recognition Using Natural Driving Data ↗ · 2024 · Zhang, Siyang et al.
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios · 2024 · Zhang, Xiaofei et al.
Driver Identification Using Accelerometers Data and Optimized Dataset Construction: A Naturalistic Driving Study ↗ · 2024 · Zhou, Hongmei et al.
Event-related driver stress detection with smartphones in an urban environment: a naturalistic driving study ↗ · 2024 · Zhou, Xin et al.
Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data ↗ · 2024 · Ziakopoulos, Apostolos
Statistical Risk and Performance Analyses on Naturalistic Driving Trajectory Datasets for Traffic Modeling ↗ · 2024 · Zong, Ruixue et al.
American Driving Survey: 2022 · 2023 · AAA Foundation for Traffic Safety
Driving Behaviour Detection Using Smart Steering Wheel: Supervised and Unsupervised Classification ↗ · 2023 · Abarghooei, Arash et al.
Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets · 2023 · Abbink, David A.
Aberrant driving as mediator: driving anger patterns and crashes in taxi drivers · 2023 · Hussain, Zahid et al.
AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong
Predicting Driver Errors during Automated Vehicle Takeovers · 2023 · Alambeigi, Hananeh et al.
The Surface Accelerations Reference—A Large-Scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2023 · Ali, Gibran et al.
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning ↗ · 2023 · Ziakopoulos, Apostolos et al.
Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning ↗ · 2023 · Arumugam, Subramanian et al.
Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration ↗ · 2023 · Bosch, Esther et al.
Driver Behavior Classification: A Systematic Literature Review · 2023 · Bouhsissin, Soukaina et al.
A Systematic Review of Profiles of Speed and Lane Keeping for Driving Simulator Data · 2023 · Brown, Timothy et al.
WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection ↗ · 2023 · Bunting, Matt et al.
Driver Head Pose Detection From Naturalistic Driving Data ↗ · 2023 · Chai, Weiheng et al.
Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire ↗ · 2023 · Chen, Yao et al.
Privacy Concern and Acceptability of Driver Monitoring System · 2023 · Chu, Yueying et al.
Abnormal Driving Detection Using GPS Data · 2023 · Boateng, Charles et al.
Anomalous Behavior Detection in Trajectory Data of Older Drivers · 2023 · Ghoreishi, Seyedeh Gol Ara et al.
AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars ↗ · 2023 · Crispim-Junior, Carlos et al.
Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data · 2023 · Grethlein, David et al.
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score ↗ · 2023 · Di, Xuan et al.
MIMIC — Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data · 2023 · Edara, Praveen K. et al.
Multidisciplinary Initiative to Create and Integrate Realistic Artificial Datasets · 2023 · Edara, Praveen K. et al.
Expression of anger while driving - personality and self-consciousness in Chinese drivers · 2023 · Zhai, Chenzhao et al.
A combined framework of Biplots and Machine Learning for real-world driving volatility and emissions data interpretation ↗ · 2023 · Ferreira, Elisabete et al.
Driver Vigilance State Estimation Based on Multisource Data ↗ · 2023 · Guo, Zizheng et al.
Distracted Driver Detection and Driver Rating System using Deep Learning ↗ · 2023 · Gusain, Amit et al.
Clustering Method of Driving Scenes based on Road Shape by using Road Map Images ↗ · 2023 · Hashimoto, Kohjiro et al.
Construction of Typical Driving Cycle for an Electric Bus Route Based on Real-World Data ↗ · 2023 · Ji, Jinhua et al.
A dataset of Chinese drivers’ driving behaviors and socio-cultural factors related to driving ↗ · 2023 · Jin, Ruining et al.
Estimating Driver Personality Traits From On-Road Driving Data ↗ · 2023 · Kimura, Ryusei et al.
Exploring speeding behavior using naturalistic car driving data from smartphones ↗ · 2023 · Kontaxi, Armira et al.
DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al.
Global-Local-Feature-Fused Driver Speech Emotion Detection for Intelligent Cockpit in Automated Driving ↗ · 2023 · Li, Wenbo et al.
Open-Set Driver Identification System Based on Metric Learning with Driving Situation Awareness ↗ · 2023 · Lim, Jaebong et al.
Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data ↗ · 2023 · Lin, Huei-Yung et al.
DeepScenario: An Open Driving Scenario Dataset for Autonomous Driving System Testing ↗ · 2023 · Lu, Chengjie et al.
A dataset on the physiological state and behavior of drivers in conditionally automated driving ↗ · 2023 · Meteier, Quentin et al.
Identifying and managing data quality requirements: a design science study in the field of automated driving · 2023 · Pradhan, Shameer Kumar et al.
Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment ↗ · 2023 · Presta, Roberta et al.
An Approach for the Selection and Description of Elements Used to Define Driving Scenarios – Part II · 2023 · Rao, Sughosh J. et al.
Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric Data ↗ · 2023 · Rosique, Francisca et al.
Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques · 2023 · Ruiz Colmenares, Jon Ander et al.
Estimating Driver Personality Traits From On-Road Driving Data · 2023 · Kimura, Ryusei et al.
Uncovering Variability in Human Driving Behavior Through Automatic Extraction of Similar Traffic Scenes from Large Naturalistic Datasets ↗ · 2023 · Siebinga, Olger et al.
Analysis of Driver Behavior Questionnaire Variables on Driving Safety: Literature Review ↗ · 2023 · Sofyan, Diana Khairani et al.
Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard and scene perception ↗ · 2023 · Song, Jiali et al.
Road Hazard Stimuli: Annotated naturalistic road videos for studying hazard detection and scene perception · 2023 · Song, Jiali et al.
In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment · 2023 · Moshfeghi, Sonia et al.
Understanding Influences of Driving Fatigue on Driver Fingerprinting Identification Through Deep Learning ↗ · 2023 · Sun, Yifan et al.
Driver Maneuver Interaction Identification with Anomaly-Aware Federated Learning on Heterogeneous Feature Representations ↗ · 2023 · Tabatabaie, Mahan et al.
Validation of Driver Behavior Questionnaire on Nigerian Truck Drivers: A Structural Equation Modeling Approach · 2023 · Taiwo, Olusegun Austine et al.
How are drivers' stress levels and emotions associated with the driving context? A naturalistic study · 2023 · Tavakoli, Arash et al.