Wenjun Wang

Orcid: 0000-0003-2890-6878

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Wenjun Wang authored at least 15 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation.
IEEE Trans. Intell. Transp. Syst., October, 2023

A Literature Review on Additional Semantic Information Conveyed from Driving Automation Systems to Drivers through Advanced In-Vehicle HMI Just Before, During, and Right After Takeover Request.
Int. J. Hum. Comput. Interact., June, 2023

A Human-Centered Comprehensive Measure of Take-Over Performance Based on Multiple Objective Metrics.
IEEE Trans. Intell. Transp. Syst., April, 2023

2022
Indirect Shared Control Through Non-Zero Sum Differential Game for Cooperative Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Exploring Behavioral Patterns of Lane Change Maneuvers for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

An Adaptive Time Budget Adjustment Strategy Based on a Take-Over Performance Model for Passive Fatigue.
IEEE Trans. Hum. Mach. Syst., 2022

Takeover Directly or Gradually? Comparison of Single Stage and Dual Stage Human-Machine Interface on Drivers' Visual Behaviors and Subjective Ratings over Cognitive Demand, Motoric Demand, and Time Demand.
Proceedings of the BDE 2022: 4th International Conference on Big Data Engineering, Beijing, China, May 26, 2022

2021
Influence of the Relative Position of Surrounding Traffic on Drivers' Take-Over Performance.
Proceedings of the Advances in Human Aspects of Transportation, 2021

2020
Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network.
IEEE Trans. Intell. Transp. Syst., 2020

Influence of Passive Fatigue and Take-Over Request Lead Time on Drivers' Take-Over Performance.
Proceedings of the Advances in Human Aspects of Transportation, 2020

2016
Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway.
IEEE Trans. Intell. Transp. Syst., 2016

Detection of driver cognitive distraction: An SVM based real-time algorithm and its comparison study in typical driving scenarios.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015
The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Lane change maneuver recognition via vehicle state and driver operation signals - Results from naturalistic driving data.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Driving Maneuvers Analysis Using Naturalistic Highway Driving Data.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015


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