Model Predictive Collision Avoidance
Model Predictive Collision Avoidance is a collision avoidance maneuvering strategy that belongs to the class of model-based predictive control methods, distinguished by its use of dynamic system models and optimization over a receding horizon to determine optimal avoidance actions while explicitly accounting for constraints and future state predictions.
100
Publications
4.9K
Citations
305
Authors
123
Institutions
Publications per year
2017–2026
71
100
Tor Arne Johansen, Tristán Pérez, Andrea Cristofaro · IEEE Transactions on Intelligent Transportation Systems · 2016 · 347 citations · Full text
1–5 of 100
305
Norwegian University of Science and Technology, Norway
9 publications · 652 citations
9
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7
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5
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Norwegian University of Science and Technology, Norway
4 publications · 212 citations
4
h-index
4
h-index
1–5 of 305
123
Norwegian University of Science and Technology
Trondheim, Norway
11 h-index
34 publications
2.1K citations
University of California, Berkeley
Berkeley, United States
6 h-index
15 publications
973 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
13 publications
1.6K citations

Dalian Maritime University
Dalian, China
4 h-index
19 publications
947 citations
RWTH Aachen University
Aachen, Germany
4 h-index
20 publications
543 citations
University of Luxembourg
Luxembourg, Luxembourg
3 h-index
16 publications
836 citations
Ministry of Education of the People's Republic of China
Beijing, China
3 h-index
9 publications
122 citations
Wuhan University of Technology
Wuhan, China
3 h-index
12 publications
337 citations
1–8 of 123
6 publications · 98 citations
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6 publications · 641 citations
6
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4 publications · 73 citations
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3 publications · 483 citations
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3 publications · 137 citations
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