Distance-based Collision Detection
Distance-Based Collision Detection is a collision detection method that determines potential intersections between objects by computing and comparing the minimum distance between their geometric representations against a threshold, distinguishing it from intersection-based or volume-based approaches through its reliance on distance metrics.
80
Publications
6.6K
Citations
202
Authors
84
Institutions
Publications per year
2017–2026
11
Parents
80
3D collision detection: a survey
Pablo Jiménez, Federico Thomas, Carme Torras · Computers & Graphics · 2001 · 558 citations · Full text
Computing, Computer Science, Physics +12
Collision Detection for Deformable Objects
M. Teschner, Stefan Kimmerle, Bruno Heidelberger et al. · Computer Graphics Forum · 2005 · 503 citations
Computing, Computer Science, Surgery +17
Brian Mirtich · ACM Transactions on Graphics · 1998 · 400 citations · Full text
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202
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University of North Carolina at Chapel Hill, United States
4 publications · 141 citations
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3
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3
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3
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1–5 of 202
84
University of Michigan
Ann Arbor, United States
5 h-index
10 publications
4.8K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
19 publications
675 citations
Rensselaer Polytechnic Institute
Troy, United States
3 h-index
9 publications
337 citations
University of Bonn
Bonn, Germany
3 h-index
3 publications
623 citations
Stanford University
Stanford, United States
3 h-index
6 publications
136 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
508 citations

Indian Institute of Science Bangalore
Bengaluru, India
2 h-index
2 publications
1.5K citations
National Chung Cheng University
Minxiong, Taiwan
2 h-index
6 publications
84 citations
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TOG · 4 publications · 585 citations
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2 publications · 70 citations
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3 publications · 124 citations
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3 publications · 45 citations
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2 publications · 519 citations
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