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

Authors

242

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    10 publications · 619 citations

    10

    h-index

  2. DL
    Doug L. James

    Cornell University, United States

    5 publications · 327 citations

    5

    h-index

  3. MÁ
    Miguel Á. Otaduy

    Universidad Rey Juan Carlos, Spain

    4 publications · 148 citations

    4

    h-index

  4. MC
    Ming C. Lin

    University of North Carolina at Chapel Hill, United States

    4 publications · 203 citations

    4

    h-index

  5. NK
    Naga K. Govindaraju

    University of North Carolina at Chapel Hill, United States

    4 publications · 203 citations

    4

    h-index

1–5 of 242

Venues

  1. ACM Transactions on Graphics

    TOG · 11 publications · 743 citations

    11

    h-index

  2. Computer Graphics Forum

    6 publications · 538 citations

    6

    h-index

  3. Sensors

    2 publications · 24 citations

    2

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 123 citations

    2

    h-index

  5. International Journal of Humanoid Robotics

    2 publications · 69 citations

    2

    h-index

1–5