Game-theoretic Collision Avoidance
Game-Theoretic Collision Avoidance is a collision avoidance control strategy that belongs to the class of game-theoretic decision-making frameworks, distinguished by its explicit modeling of multi-agent interactions as strategic games in which each agent’s maneuvering policy is optimized with respect to both safety constraints and the anticipated actions of others.
66
Publications
3.1K
Citations
165
Authors
77
Institutions
Publications per year
2017–2026
37
66
On Optimal Guidance for Homing Missiles
S. Gutman · Journal of Guidance and Control · 1979 · 214 citations
Shoucai Jing, Fei Hui, Xiangmo Zhao et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 177 citations · Full text
Engineering, Automotive Engineering, Transportation Planning +17
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Stanford University
Stanford, United States
7 h-index
21 publications
1.3K citations

Vaughn College of Aeronautics and Technology
New York, United States
6 h-index
14 publications
926 citations

Imperial College London
London, United Kingdom
4 h-index
8 publications
493 citations
Tsinghua University
Beijing, China
3 h-index
12 publications
239 citations
University of Arizona
Tucson, United States
3 h-index
5 publications
76 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
142 citations

University of Rome Tor Vergata
Rome, Italy
3 h-index
4 publications
486 citations
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
65 citations
1–8 of 77
3 publications · 200 citations
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3 publications · 137 citations
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2 publications · 63 citations
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2 publications · 214 citations
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2 publications · 107 citations
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