Seminar on "Adaptive Decision-making of Autonomous Driving Vehicles"
Adaptive Decision-making of Autonomous Driving Vehicles
Jinjun Shan, Ph.D. & Professor
York University, Canada
Time: 2:30pm-4pm, February 25, 2025
Place: The Lewis and Julia P. Kiernan Conference Room, 202 ECEC, NJIT
Host: Mengchu Zhou, Ph.D. & Dist. Professor
For autonomous driving vehicles (ADVs), decision-making is crucial for safe and efficient driving. However, ADVs face significant challenges in coexisting with human road users, making fast and optimal driving decisions, and operating in unknown traffic environments with only incomplete information. Unsignalized intersection and lane-changing scenarios are particularly representative of such challenges, which involves complex dynamic interactions. ADVs need to assess and predict the driving preferences of nearby vehicles to optimize and adaptively adjust their own driving policies while considering uncertainties arising from incomplete observations. In this talk, recent developments on adaptive decision-making based on game-theory and learning-based methods will be presented.
Biography
Prof. Jinjun Shan is a Full Professor at the Department of Earth and Space Science and Engineering, York University, Canada. He received his Ph.D. degree from Harbin Institute of Technology, China, in 2002. His research progress is demonstrated through over 220 peer-reviewed publications and 2 issued patents. Prof. Shan’s accomplishments in research and engineering education have enabled him to receive such prestigious recognitions as the Fellow of Canadian Academy of Engineering (CAE), the Fellow of Engineering Institute of Canada (EIC), the Fellow of American Astronautical Society (AAS), and a member of European Academy of Sciences and Arts (EASA). He is the founding director of Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab) at York University.
Date and Time
Location
Hosts
Registration
- Date: 25 Feb 2025
- Time: 02:30 PM to 04:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- Starts 25 January 2025 12:00 AM
- Ends 25 February 2025 02:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge