Autonomous Driving Policy Continual Learning With One-Shot Disengagement Case
Author:
Affiliation:
1. School of Vehicle and Mobility, Tsinghua University, Beijing, China
2. Qiyuan Lab, Beijing, China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Tsinghua University-Toyota Joint Center
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10076483/09802733.pdf?arnumber=9802733
Reference36 articles.
1. Review of Microscopic Lane-Changing Models and Future Research Opportunities
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3. General Lane-Changing Model MOBIL for Car-Following Models
4. Design and Experiments of Safeguard Protected Preview Lane Keeping Control for Autonomous Vehicles
5. SimNet: Learning Reactive Self-driving Simulations from Real-world Observations
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