Vehicle Path Planning
Vehicle Path Planning is a computational framework within the kinematics of vehicle motion that determines an optimal, collision-free trajectory for a vehicle from an initial to a target configuration, distinguished by its integration of dynamic constraints, environmental obstacles, and mission objectives.
2.2K
Publications
123.5K
Citations
6K
Authors
1.4K
Institutions
Publications per year
2017–2026
1.1K
Parents
2.2K
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
Junior: The Stanford entry in the Urban Challenge
Michael Montemerlo, Jan Becker, Suhrid Bhat et al. · Journal of Field Robotics · 2008 · 1K citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
35 h-index
139 publications
33.8K citations
Tsinghua University
Beijing, China
34 h-index
124 publications
8.2K citations
Carnegie Mellon University
Pittsburgh, United States
30 h-index
147 publications
55.8K citations

Beijing Institute of Technology
Beijing, China
30 h-index
183 publications
8.2K citations
University of California, Berkeley
Berkeley, United States
28 h-index
104 publications
7.1K citations
Technical University of Munich
Munich, Germany
27 h-index
126 publications
6.9K citations

Beihang University
Beijing, China
24 h-index
88 publications
7.4K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
84 publications
3.8K citations
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77 publications · 6.2K citations
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58 publications · 3.5K citations
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ITIVBL · 46 publications · 5.7K citations
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32 publications · 2K citations
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33 publications · 1.2K citations
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