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

Cooperative Driving and Collective Navigation Architectures for CCAVs: Contemporary Techniques, Simulators, Datasets, and Research Directions · 2026 · Ahiska, Kenan
A vision-based mixed-reality framework for testing autonomous driving systems ↗ · 2026 · Argui, Imane
DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al.
A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al.
Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style ↗ · 2026 · Chen, Haitao et al.
Representational Alignment for Multimodal Distracted Driving Detection: Parameter-efficient Adaptation of a Unified Embedding Space ↗ · 2026 · Dontoh, Anthony et al.
MRDrive: An Open Source Mixed Reality Driving Simulator for Automotive User Research ↗ · 2026 · Ebel, Patrick et al.
Monitoring Driver Attention using Virtual Reality Headsets in the CARLA Simulator ↗ · 2026 · Eduardo, García-Huerta et al.
Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review. ↗ · 2026 · El Sahmarany, L et al.
Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving ↗ · 2026 · Fernandez-Matellan, Raul et al.
A Novel IMU-Based Aggressiveness Index for Driver Behavior Assessment Using Wearable Sensing ↗ · 2026 · Garrosa, María et al.
Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making · 2026 · Greer, Ross et al.
A Framework for Naturalistic Driving Assessment in People Living with Dementia ↗ · 2026 · Hettiarachchige, Ranuki Onara et al.
SAFE-Drive: A Synergistic Adaptive Fusion Framework for Multimodal Driver Emotion Recognition in Real Driving Scenarios ↗ · 2026 · Huang, Yaning et al.
Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al.
Psychological Empowerment on the Streets: Designing and Validating Multisensory Experiences in Simulated Autonomous Driving. ↗ · 2026 · Jeong E et al.
Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al.
A Study on Autonomous Driving Motion Sickness from the Perspective of Multimodal Human Signals ↗ · 2026 · Kim, Su Young et al.
Predictive Driver Monitoring Using Multimodal AI for Road Safety ↗ · 2026 · Kumar, Arvind et al.
MFCA-Net: A Multimodal Fusion Framework with Collaborative Attention for Driver Behavior Recognition ↗ · 2026 · Li, Mingyang et al.
A MULTIMODAL DRIVER-SAFETY SYSTEM TO SUPPORT TEEN DRIVERS USING COMPUTER VISION AND SENSOR FUSION ↗ · 2026 · Liu, Max et al.
Characterizing Driver Behavior during Emergency Vehicle Encounters: An Application of a VR Driving Simulator with Integrated Eye-Tracking ↗ · 2026 · Liu, Lanmin et al.
Advanced Driver Safety: A Steering Wheel Prototype for Real-Time Physiological and Kinematic Monitoring ↗ · 2026 · Šmondrk, Maroš et al.
Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al.
An Intelligent Safety Driver Device using Arduino Uno ↗ · 2026 · Prasad, Yalla Mohan Durga
An Experimental Setup for Collecting Physiological Data from Vehicle Drivers ↗ · 2026 · Radev, Hristo et al.
Evolutionary-Optimized Multimodal Driver RiskAssessment Using DE-Enhanced Cross-AttentionFusion of EEG and Telematics · 2026 · Raga Madhuri, Ch et al.
Driver Monitoring Systems: Advances, Challenges, and Future Directions in Noncontact Sensor Technologies: A Review ↗ · 2026 · Rahman, Anima et al.
Bayesian Multimodal Driver Readiness Estimation and Adaptive HMI for Safety-Critical Automated Driving ↗ · 2026 · Razm, Sobhan et al.
Driver Behavior in Mixed Traffic with Autonomous Vehicles ↗ · 2026 · Rezwana, Saki 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.
Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al.
Subjective driving experience recorded live: A naturalistic driving approach ↗ · 2026 · Simon, Katharina et al.
Current Status and Application Research of Advanced Driver Assistance Systems (ADAS) · 2026 · Tao, Zhen
Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges. ↗ · 2026 · Viktor P et al.
DriE-Cog dataset: A multimodal physiological–behavioural dataset for intelligent driving emergency response ↗ · 2026 · Zhang, Hongqiang et al.
Dangerous driving behavior detection method in vehicle intelligent cockpit based on transwindow multimodal fusion ↗ · 2026 · Zhao, Minghui et al.
Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis ↗ · 2026 · Du, Zitao et al.
Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
Multi-source enriched driving behavior models A driving simulator case study in Germany ↗ · 2025 · Al Haddad, Christelle et al.
Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire ↗ · 2025 · Bazilinskyy, Pavlo et al.
A Framework for Multi-Modal Driving Style Recognition Using Self-Supervised Contrastive Learning ↗ · 2025 · Boboc, Răzvan Gabriel et al.
Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al.
Dynamic Optimization of Adaptive Vehicle Lighting Systems: A Multimodal Assessment of Driver Performance and Well-being · 2025 · Chai, Ruizhuo et al.
YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al.
Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al.
Enhancing safe driving through real-time driver monitoring using triboelectric energy harvesting and deep transfer learning ↗ · 2025 · Cho, Hyunwoo et al.
MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
In-Vehicle Sensing Platform for the Inference of Older Drivers’ Mild Cognitive Condition ↗ · 2025 · Moshfeghi, Sonia et al.
Current Status and Challenges in Usability Evaluation Research on Human–Machine Interaction in Intelligent Vehicles: A Systematic Review ↗ · 2025 · Zhou, Datao et al.
A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al.
Towards Safer Mixed Traffic: A Deep Learning Approach to Autonomous Vehicle Detection and Driver Awareness ↗ · 2025 · El-Yabroudi, Mohammad et al.
Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al.
Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al.
Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion ↗ · 2025 · Guan, Deyong et al.
Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al.
Safety of Mixed Traffic · 2025 · Huang, Chunxi et al.
Sharing the Road ↗ · 2025 · He, Dengbo et al.
Systematic Review of Multimodal Fusion Strategies for Driver Fatigue Detection in Autonomous Vehicles · 2025 · Huang, Xiang
Enhanced Multi-Class Driver Behavior Detection in IoMT Environments Using Hybrid LSTM-GRU Model ↗ · 2025 · AlSalman, Hussain
Novelty Detection in Autonomous Driving: A Generative Multi-Modal Sensor Fusion Approach ↗ · 2025 · Iqbal, Hafsa et al.
Benchmarking the MQ-3 Gas Sensor for Alcohol Impairment Detection: Insights from a Driving Simulator Study ↗ · 2025 · Göbel, Jan-Philipp et al.
Multifaceted sensor-based approach for road quality assessment in the Indian road scenario ↗ · 2025 · Jawale, Anupama et al.
A Study of Mixed Platooning Considering Driver Perceptual Uncertainty ↗ · 2025 · Jiang, Junfeng et al.
Multimodal Data Fusion Architecture for Real-Time Physiological and Vehicular Signal Processing in Driving Contexts ↗ · 2025 · Jiménez Aguilar, Bryan Alexis et al.
A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al.
Analysis of a Driving Simulator’s Steering System for the Evaluation of Autonomous Vehicle Driving · 2025 · Dols, Juan F. et al.
Driver Drowsiness Detection with Smart IoTEnabled Edge-Cloud Computing ↗ · 2025 · Kadirvelu, G et al.
Classifying Advanced Driver Assistance System (ADAS) Activation from Multimodal Driving Data: A Real-World Study ↗ · 2025 · Lee, Gihun et al.
Optimization Strategy for Car Following and Lane Changing Models of CAV in Mixed Traffic Environments ↗ · 2025 · Li, Wanyue et al.
Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes · 2025 · Lu, Shengyu et al.
Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles · 2025 · Lu, Xiao et al.
Driver Training for Shared Autonomy Systems Using Mixed Reality · 2025 · Mangharam, Rahul et al.
Insights for the Future of Car Rental and Ridesharing: Driving Behavior Across Different Levels of Automation · 2025 · Meda, Pranav et al.
Comprehensive Evaluation of the Impacts of Mixed Traffic Conditions on Urban Networks ↗ · 2025 · YAVUZ, Mehmet Nedim et al.
Fast Lane - Exploring Human Behavior - Volume 21 · 2025 · NHTSA
Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al.
A Multi-Sensor Late Fusion Framework for Driver Cognitive State Detection ↗ · 2025 · Raafay Umar, S A et al.
Reflective PPG Sensor Measures Heart Rate Through Clothing During Driving ↗ · 2025 · Radomski, Adrian et al.
Development of a Networked Multi-Participant Driving Simulator with Synchronized EEG and Telemetry for Traffic Research ↗ · 2025 · Ramlall, Poorendra et al.
A Conceptual Framework for AI-based Explainable Driver Behavior in Human-in-the-loop Simulators ↗ · 2025 · Rebling, Patrick et al.
Assessing Fitness to Drive: an IoT-Based System Integrating Driver Emotions and Visual Distraction Metrics ↗ · 2025 · Rettori, Lucrezia et al.
Aerial video & trajectory dataset of vehicles on circular road ↗ · 2025 · Riehl, Kevin et al.
Demo: Driver Gaze-Aware Adaptive LiDAR Sensing for Advanced Driver Assistance Systems ↗ · 2025 · Scarì, Federico et al.
Identifying Negative Driver States that Share Commonalities for Interventions ↗ · 2025 · Seaman, Sean 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.
What Researchers Need from Driving Simulator Systems: A Thematic Analysis of Expert Interviews ↗ · 2025 · Li, Stacey et al.
Cooperative Driving Automation — Highway Driving Simulator Architecture: High-Level Architecture Design · 2025 · Stark, John et al.
Human&vehicle-in-the-loop test method in human factors research on automated vehicles: Conceptualization, realization, case-study, and lessons learned ↗ · 2025 · Steimle, Markus et al.
Safety Implications of Potential Advanced Driver Assistance Systems Sensor Degradation · 2025 · Stowe, Loren et al.
Noncontact Multimodal Sensing for Driver Distraction Detection via Behavioral-Physiological Fusion ↗ · 2025 · Sun, Yuheng et al.
Interface Design for Responsible Remote Driving: A Study on Technological Mediation · 2025 · Variati, Gabriella Emma 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.
RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information ↗ · 2025 · Wu, Xinzheng et al.
On-Device Multimodal Drowsy Vehicle Driver Detection and Alerting System ↗ · 2025 · Yoon, Jong-Seok et al.
A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS · 2025 · Zuhair Ghazi Zahid, Ali et al.
Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS · 2024 · Hasan, Aamir et al.
Technologies for detecting and monitoring drivers' states: A systematic review ↗ · 2024 · AL-Quraishi, Maged S. et al.
Driving Style and Traffic Prediction with Artificial Neural Networks Using On-Board Diagnostics and Smartphone Sensors ↗ · 2024 · Al-refai, Ghaith et al.
Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers · 2024 · Gomaa, Amr et al.
Autonomous Vehicles and Virtual Reality · 2024 · Kemeny, Andras
Driver heterogeneity in willingness to give control to conditional automation · 2024 · Ansar, Muhammad Sajjad et al.
Privacy, Security, and Reliability for Urban Ambient Sensing with Sensor-Rich Autonomous Vehicles ↗ · 2024 · Aoki, Shunsuke
Advancements in Mixed Reality for Autonomous Vehicle Testing and Advanced Driver Assistance Systems: A Survey · 2024 · Argui, Imane et al.
Exploring augmentation strategies in mixed reality for autonomous driving with depth cameras · 2024 · Argui, Imane et al.
Driving into the future: A scoping review of smartwatch use for real-time driver monitoring ↗ · 2024 · Barka, Roza Eleni et al.
It Is Not Always Just One Road User: Workshop on Multi-Agent Automotive Research ↗ · 2024 · Bazilinskyy, Pavlo et al.
A systematic review of the use of in-vehicle telematics in monitoring driving behaviours ↗ · 2024 · Boylan, James et al.
Portobello: Extending Driving Simulation from the Lab to the Road ↗ · 2024 · Bu, Fanjun et al.
Position and Intensity Sensing of a Large-Area Tactile Sensor for Hands-on Detection in Conditional Autonomous Driving ↗ · 2024 · Chen, Ying et al.
Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers · 2024 · Jan, Muhammad Tanveer et al.
Using the ISO detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways · 2024 · Biondi, FN et al.
Development of a System for Monitoring Driver Comfort via Smartphones ↗ · 2024 · De Palma, Luisa et al.
Assessing driver engagement in assisted driving: Insights from Pilot Evaluation, Focus Groups and driving simulator testing · 2024 · Deiana, Francesco et al.
Practical Self-Supervised Contrastive Driver Maneuver Interaction Learning via Augmenting Inertial Measurement Unit Signals ↗ · 2024 · Deng, Yawen 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.
Driver Distraction Detection Using Artificial Intelligence and Smart Devices · 2024 · Papatheocharous, Efi et al.
Sensor-enabled Calibration of VR-Integrated Co-Simulation Platforms for Enhanced Accuracy in Multi-modal Mobility Models · 2024 · Ergan, Semiha et al.
An advanced multimodal driver-assistance prototype for emergency-vehicle detection ↗ · 2024 · Gabrielli, Leonardo et al.
An Innovative System for Driver Monitoring and Vehicle Sound Interaction ↗ · 2024 · Generosi, Andrea et al.
Characterizing Heterogeneous Car-Following Behaviors of Human Drivers in Mixed Traffic · 2024 · Sun, Meng et al.
Descriptive and conceptual structure of naturalistic driving study research: A computational literature review ↗ · 2024 · Howell, Fletcher J. et al.
OLDER DRIVER REPORTS OF EXPERIENCE WITH SENSORS IN VEHICLES TO RECORD DRIVING BEHAVIOR ↗ · 2024 · Jackson, Kelley L. et al.
A Novel Experiment Design for Studying Multiple Cognitive Factors in Conditionally Automated Driving Contexts ↗ · 2024 · Jeevanandam, Sibibalan et al.
Smart, Green, Equitable, Safe, Complete Streets for All - Phase I: Development of a CAV Testbed-enhanced Smart Campus at Morgan State University · 2024 · Jeihani, Mansoureh et al.
New Brunswick Innovation Hub Smart Mobility Testing Ground · 2024 · Jin, Peter J. et al.
Evaluating Autonomous Vehicles’ Safety Benefits in Mixed Autonomy Scenarios · 2024 · Joe-Wong, Carlee et al.
Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al.
A Multi-Agent Driving-Simulation Approach for Characterizing Hazardous Vehicle Interactions between Autonomous Vehicles and Manual Vehicles ↗ · 2024 · Jung, Aram et al.
A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation · 2024 · Nobari, Khazar Dargahi et al.
Multimodal Driver Condition Monitoring System Operating in the Far-Infrared Spectrum ↗ · 2024 · Knapik, Mateusz et al.
Investigation of Driver Adaptations in a Mixed Traffic Environment · 2024 · Kondyli, Alexandra et al.
All You Need is Data: A Multimodal Approach in Understanding Driver Behavior ↗ · 2024 · Kwakye, Kelvin et al.
Driver anomalous driving behavior detection based on supervised contrastive learning ↗ · 2024 · Li, Zhonglun et al.
Towards Modelling Distracted Human Driving: Sensor Fusion and Driver Status Monitoring in a VR Simulator ↗ · 2024 · Liu, Jiacheng et al.
Safety Through Agility: Using Mixed Reality to Tune Shared Autonomy Systems · 2024 · Loeb, Helen
Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al.
AV4EV - Open-Source Autonomous Vehicle Software for Open-Standard Electric Vehicle Platforms · 2024 · Mangharam, Rahul
Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al.
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al.
Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance · 2024 · Murtaza, Mohsin et al.
Fast Lane - Exploring Human Behavior - Volume 19 · 2024 · NHTSA
The development of a driving simulator for driver’s response during obstacle avoidance task ↗ · 2024 · Ismail, Nursya Mimie Ayuny et al.
A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities · 2024 · Ogle, Jennifer H et al.
Driving Reality vs Simulator: Data Distinctions ↗ · 2024 · Piaseczna, Natalia et al.
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko
The effect of in‐vehicle agent embodiment on drivers' perceived usability and cognitive workload: Evidence from subjective reporting, ECG, and fNIRS ↗ · 2024 · Ren, Zenggen et al.
Leveraging Wearable Sensors in Virtual Reality Driving Simulators: A Review of Techniques and Applications ↗ · 2024 · Boboc, Răzvan Gabriel et al.
Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al.
An Overview of Machine Learning Algorithms to Reduce Driver Fatigue and Distraction-Related traffic Accidents ↗ · 2024 · Santos, Maykol et al.
Evaluation of Human Machine Interface for Vehicle – infrastructure Cooperative Driver Assistance ↗ · 2024 · SAWADA, Jun et al.
ROStopbox: A Human-Centered Vehicle Environment Data Acquisition System ↗ · 2024 · Schneider, Daniel et al.
Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al.
The HADRIAN novel human–machine interface prototype for automated driving: safety and impact assessment ↗ · 2024 · Sekadakis, Marios et al.
Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al.
Augmenting Driver Awareness and Performance through Haptics, Assistive Controls, and Environment Perception ↗ · 2024 · Shata, Abdelrahman Ali Adel et al.
Driving simulator validation studies: A systematic review ↗ · 2024 · Zhang, Siyang 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.
Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor ↗ · 2024 · TADA, Masahiro et al.
Multisource heterogeneous data fusion: multimodal modeling approach for intelligent safety driving assistance system ↗ · 2024 · Tong, Xiaochun et al.
Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities · 2024 · Usman, Sheikh Muhammad et al.
Rural Older Adult Driver Tailored Research-Integrated Plan (ROAD TRIP) · 2024 · Wotring, Brian M et al.
A Method of Generating a Composite Dataset for Monitoring of Non-Driving Related Tasks ↗ · 2024 · Wu, Xian et al.
Research on the Vehicle-Behavior Boundary of Intersection Traffic Based on Naturalistic Driving Data Study ↗ · 2024 · Wu, Biao et al.
AI-Driven Driver Behavior Assessment Through Vehicle and Health Monitoring for Safe Driving—A Survey ↗ · 2024 · Yaqoob, Shumayla et al.
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems ↗ · 2024 · Zhang, Chaopeng et al.
A Blind Driving System Leveraging Multimodal Feedback ↗ · 2024 · Zhang, Ruizhe 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.
Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review ↗ · 2024 · al-qaysi, ziadoon
Driving Behaviour Detection Using Smart Steering Wheel: Supervised and Unsupervised Classification ↗ · 2023 · Abarghooei, Arash et al.
AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong
Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al.
Application of naturalistic driving data: A systematic review and bibliometric analysis · 2023 · Alam, Md Rakibul et al.
Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks ↗ · 2023 · Aminosharieh Najafi, Taraneh et al.
Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study ↗ · 2023 · Zhou, Anye et al.
Building a Vision-Based Mixed-Reality Framework for Autonomous Driving Navigation · 2023 · Argui, Imane et al.
The effect of visual advanced driver assistance systems on a following human driver in a mixed-traffic condition · 2023 · Ariansyah, Dedy 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.
Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al.
Towards Sustainable Safe Driving: A Multimodal Fusion Method for Risk Level Recognition in Distracted Driving Status ↗ · 2023 · Chen, Huiqin et al.
Study protocol for “In-vehicle sensors to detect changes in cognition of older drivers” · 2023 · Tappen, Ruth M. et al.
AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars ↗ · 2023 · Crispim-Junior, Carlos et al.
Sensor Degradation Detection Algorithm for Automated Driving Systems · 2023 · Darab, Jonathan M et al.
Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review ↗ · 2023 · Papatheocharous, Efi et al.
Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al.
Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al.
Driving In Mixed Traffic: Will Increased Penetration Rates of Automated Vehicles Change Driver Behaviors? ↗ · 2023 · Ma, Zheng et al.
Exploring Mixed-Reality for Enhancing Driver Warning Systems: A Preliminary Study on Attention-Shifting Methods and Hazard Perception ↗ · 2023 · Ma, Shih-Yu et al.
Robust Multimodal and Multi-Object Tracking for Autonomous Driving Applications · 2023 · Perez, Marc et al.
Investigating and Developing Methods for Traditional Participant-based Data Collection with Remote Experimenters · 2023 · Miller, Marty
Exploratory Advanced Research (EAR) Program: Compendium of Papers from Funded Research Projects · 2023 · NHTSA
JOAN: a framework for human-automated vehicle interaction experiments in a virtual reality driving simulator · 2023 · Beckers, Niek et al.
A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs · 2023 · Linschmann, Onno et al.
Unsupervised Scalable Multimodal Driving Anomaly Detection ↗ · 2023 · Qiu, Yuning et al.
Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects ↗ · 2023 · Qu, You et al.