Collision Detection
Collision Detection is a computational process in motion and path planning that determines whether two or more geometric objects in a spatial environment intersect or will intersect during movement, distinguishing it from related planning tasks by its focus on spatial feasibility and obstacle avoidance.
5.7K
Publications
296.4K
Citations
51.2K
Authors
3K
Institutions
Publications per year
2017–2026
1.7K
Parents
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The European Physical Journal C · 2012 · 4.6K citations · Full text
Matteo Cacciari, Gavin P. Salam, Grégory Soyez · 2013 · 2.5K citations
Spatial Planning: A Configuration Space Approach
Tomás Lozano‐Pérez · IEEE Transactions on Computers · 1983 · 2.1K citations
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University of North Carolina at Chapel Hill, United States
97 publications · 7.2K citations
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University of North Carolina at Chapel Hill, United States
55 publications · 5.3K citations
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Massachusetts Institute of Technology
Cambridge, United States
57 h-index
581 publications
72.2K citations

Centre National de la Recherche Scientifique
Paris, France
53 h-index
5.6K publications
658.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
50 h-index
274 publications
21.1K citations
University of California, Berkeley
Berkeley, United States
42 h-index
1.1K publications
112.4K citations
Stanford University
Stanford, United States
41 h-index
211 publications
31.7K citations
University of Michigan
Ann Arbor, United States
41 h-index
1K publications
132.5K citations

University of British Columbia
Vancouver, Canada
41 h-index
360 publications
37.8K citations

Sapienza University of Rome
Rome, Italy
41 h-index
503 publications
72.9K citations
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TOG · 68 publications · 6.6K citations
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77 publications · 7K citations
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63 publications · 4.4K citations
34
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49 publications · 3.8K citations
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IJRR · 42 publications · 12.9K citations
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