Zheng Wang
Orcid: 0000-0002-7589-7954Affiliations:
- University of Tokyo, Institute of Industrial Science, Japan
According to our database1,
Zheng Wang
authored at least 40 papers
between 2016 and 2024.
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Bibliography
2024
Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving.
Int. J. Hum. Comput. Interact., February, 2024
Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving.
IEEE Trans. Intell. Transp. Syst., January, 2024
2023
Modeling Lateral Control Behaviors of Distracted Drivers for Haptic-Shared Steering System.
IEEE Trans. Intell. Transp. Syst., December, 2023
A Game Theoretical Chassis Domain Approach to Trajectory Tracking for Automated Vehicles.
IEEE Trans. Veh. Technol., November, 2023
Prediction Based Trajectory Planning for Safe Interactions Between Autonomous Vehicles and Moving Pedestrians in Shared Spaces.
IEEE Trans. Intell. Transp. Syst., October, 2023
Quantitative Evaluation Methodology for Chassis-Domain Dynamics Performance of Automated Vehicles.
IEEE Trans. Cybern., September, 2023
Fail-Safe Behavior and Motion Planning Incorporating Shared Control for Potential Driver Intervention.
IEEE Trans. Intell. Veh., July, 2023
Integrated Graphical Representation of Highway Scenarios to Improve Trajectory Prediction of Surrounding Vehicles.
IEEE Trans. Intell. Veh., February, 2023
A Predictive Model of a Driver's Target Trajectory Based on Estimated Driving Behaviors.
Sensors, February, 2023
The Impact of System Transparency on Passenger's Quality of Experience in Highly Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2022
Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study.
Dataset, May, 2022
Structural Transformer Improves Speed-Accuracy Trade-Off in Interactive Trajectory Prediction of Multiple Surrounding Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
Spatio-Temporal Image Representation and Deep-Learning-Based Decision Framework for Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
Indicator of Safety and Comfort Performance: Quantifying Different Driving Styles for Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
IEEE Trans. Intell. Veh., 2021
Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior.
Sensors, 2021
Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersections.
Int. J. Intell. Transp. Syst. Res., 2021
Evaluation of Driver Assistance System Presenting Information of Other Vehicles through Peripheral Vision at Unsignalized Intersections.
Int. J. Intell. Transp. Syst. Res., 2021
CoRR, 2021
A Classified Driver's Lane-Change Decision- Making Model Based on Fuzzy Inference for Highly Automated Driving.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021
Surface Electromyography-Controlled Vehicle Braking Assistance System Using Deep Learning.
Proceedings of the Advances in Human Aspects of Transportation, 2021
2020
Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving.
CoRR, 2020
Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance.
CoRR, 2020
Adaptive driver-automation shared steering control via forearm surface electromyography measurement.
CoRR, 2020
Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study.
CoRR, 2020
Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Relationship Between Gaze Behavior and Steering Performance for Driver-Automation Shared Control: A Driving Simulator Study.
IEEE Trans. Intell. Veh., 2019
Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface.
Sensors, 2019
Comfort-oriented Haptic Guidance Steering via Deep Reinforcement Learning for Individualized Lane Keeping Assist.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
2018
Effect of Haptic Guidance Steering on Lane Following Performance by Taking Account of Driver Reliance on the Assistance System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Longitudinal Control Strategy of Collision Avoidance Warning System for Intelligent Vehicle Considering Drivers and Environmental Factors.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
An Application of Particle Swarm Algorithms to optimize Hidden Markov Models for Driver Fatigue Identification.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Driver-Automation Shared Control: Modeling Driver Behavior by Taking Account of Reliance on Haptic Guidance Steering.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
A Driver-Automation Shared Control for Forward Collision Avoidance While Automation Failure.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018
2017
IEEE Trans. Hum. Mach. Syst., 2017
Analysis of driver visual attention when driving with different levels of haptic steering guidance.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
The effect of haptic guidance on driver steering performance during curve negotiation with limited visual feedback.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
2016
Evaluation of driver steering performance with haptic guidance under passive fatigued situation.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016