Self-collision Detection
Self-Collision Detection is a computational method in collision detection that identifies intersections or proximity violations between different parts of the same articulated or deformable body during motion simulation or robotic planning.
87
Publications
4.5K
Citations
242
Authors
107
Institutions
Publications per year
2017–2026
16
Parents
87
1–5 of 87
242
University of North Carolina at Chapel Hill, United States
10 publications · 619 citations
10
h-index
5
h-index
4
h-index
4
h-index
University of North Carolina at Chapel Hill, United States
4 publications · 203 citations
4
h-index
1–5 of 242
107
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
32 publications
2.3K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
3 publications
46 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
7 publications
582 citations

Ewha Womans University
Seoul, South Korea
3 h-index
9 publications
498 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
3 h-index
11 publications
210 citations
Walt Disney (United States)
Burbank, United States
3 h-index
3 publications
269 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
456 citations
The University of Tokyo
Tokyo, Japan
3 h-index
10 publications
608 citations
1–8 of 107
TOG · 11 publications · 743 citations
11
h-index
6 publications · 538 citations
6
h-index
2 publications · 24 citations
2
h-index
TVCG · 2 publications · 123 citations
2
h-index
2 publications · 69 citations
2
h-index
1–5