Potential Game-Based Decision-Making for Autonomous Driving
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO, USA
2. Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA
3. Ford Research and Innovation Center, Dearborn, MI, USA
Funder
Ford-University of Michigan Alliance Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10202228/10101707.pdf?arnumber=10101707
Reference48 articles.
1. Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles
2. Kinematic and dynamic vehicle models for autonomous driving control design
3. A Game Theoretic Model Predictive Controller With Aggressiveness Estimation for Mandatory Lane Change
4. Game-Theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
5. Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
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