Autonomous Vehicle Avoidance is a methodological framework within obstacle avoidance that specifically enables self-driving vehicles to detect, assess, and dynamically circumvent obstacles in real-time without human intervention.
255
Publications
14.8K
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894
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298
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Publications per year
2017–2026
144
Parents
Publications
255
Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson, Joshua Anhalt, Drew Bagnell et al. · Journal of Field Robotics · 2008 · 1.5K citations · Full text
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Authors
894
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1–5 of 894
Institutions
298
Carnegie Mellon University
Pittsburgh, United States
8 h-index
50 publications
48.6K citations
Centre National de la Recherche Scientifique
Paris, France
8 h-index
18 publications
952 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
13 publications
1.5K citations
Seoul National University
Seoul, South Korea
5 h-index
10 publications
299 citations
University of Michigan
Ann Arbor, United States
5 h-index
12 publications
5.7K citations
Stanford University
Stanford, United States
4 h-index
10 publications
1.6K citations
Beijing Institute of Technology
Beijing, China
4 h-index
11 publications
313 citations
ETH Zurich
Zurich, Switzerland
3 h-index
35 publications
7.6K citations
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- IEEE Transactions on Intelligent Transportation Systems
7 publications · 764 citations
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- IEEE Access
4 publications · 115 citations
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- SAE technical papers on CD-ROM/SAE technical paper series
4 publications · 62 citations
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- Ocean Engineering
5 publications · 342 citations
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
5 publications · 122 citations
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