Collision Avoidance Under Uncertainty
Collision Avoidance Under Uncertainty is a methodological framework within the domain of collision avoidance that specifically addresses the challenge of preventing collisions in dynamic environments where sensor measurements, state estimates, or environmental conditions are subject to stochasticity, incompleteness, or imprecision.
76
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3.4K
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215
Authors
104
Institutions
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2017–2026
33
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Jrg Hillenbrand, A. Spieker, Kristian Kroschel · IEEE Transactions on Intelligent Transportation Systems · 2006 · 227 citations
Engineering, Automotive Engineering, Systems Engineering +14
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Gregory Kahn, Adam Villaflor, Vitchyr H. Pong et al. · arXiv (Cornell University) · 2017 · 227 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
6 h-index
14 publications
1.4K citations
Wuhan University of Technology
Wuhan, China
4 h-index
18 publications
1.1K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
5 publications
363 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
347 citations
Daimler (Germany)
Stuttgart, Germany
3 h-index
6 publications
570 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
8 publications
477 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
103 citations
MIT Lincoln Laboratory
Lexington, United States
2 h-index
4 publications
376 citations
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Repository · 4 publications · 299 citations
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2 publications · 31 citations
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2 publications · 137 citations
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ITIVBL · 2 publications · 79 citations
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2 publications · 156 citations
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