A Multi-Vehicle Game-Theoretic Framework for Decision Making and Planning of Autonomous Vehicles in Mixed Traffic
Author:
Affiliation:
1. School of Mechanical Engineering, Southeast University, Nanjing, China
2. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China
3. School of Vehicle and Mobility, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10356741/10268996.pdf?arnumber=10268996
Reference48 articles.
1. Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
2. Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning
3. Mixed-Integer Motion Planning on German Roads Within the Apollo Driving Stack
4. Current challenges in autonomous driving
5. Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
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