Obstacle Detection
Obstacle Detection is a computational perception task within autonomous vehicle systems that identifies and localizes objects or entities in the vehicle’s environment that may impede its intended path, distinguishing it from general scene understanding by focusing specifically on potential physical hazards requiring avoidance.
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2017–2026
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla et al. · 2020 · 3K citations
Stanley: The robot that won the DARPA Grand Challenge
Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp et al. · Journal of Field Robotics · 2006 · 2.1K citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
50 h-index
309 publications
69.8K citations

Centre National de la Recherche Scientifique
Paris, France
31 h-index
185 publications
10.6K citations
University of Michigan
Ann Arbor, United States
27 h-index
105 publications
19.8K citations
Jet Propulsion Laboratory
Pasadena, United States
27 h-index
121 publications
8.2K citations
Tsinghua University
Beijing, China
27 h-index
126 publications
8.3K citations

University of Parma
Parma, Italy
27 h-index
149 publications
11.2K citations

Chinese Academy of Sciences
Beijing, China
25 h-index
111 publications
6K citations
Stanford University
Stanford, United States
25 h-index
67 publications
51.6K citations
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101 publications · 8.3K citations
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65 publications · 5.5K citations
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66 publications · 4.3K citations
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111 publications · 4.8K citations
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JFR · 36 publications · 6.2K citations
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