Dynamic Intersection Detection

Dynamic Intersection Detection is an algorithmic framework within computational geometry that specifically enables the real-time identification and tracking of intersecting geometric entities in a continuously changing environment, distinguished from static or batch intersection detection methods by its incremental update mechanism and temporal coherence exploitation.

11

Publications

770

Citations

30

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

30

  1. MC
    Ming C. Lin

    University of North Carolina at Chapel Hill, United States

    1 publications · 234 citations

    1

    h-index

  2. BP
    B. P. Isarankura

    University of Washington, United States

    1 publications · 13 citations

    1

    h-index

  3. MH
    Masayo Harada

    Tokyo Medical and Dental University, Japan

    1 publications · 44 citations

    1

    h-index

  4. MP
    Mian Pan

    Hangzhou Dianzi University, China

    1 publications · 35 citations

    1

    h-index

  5. HN
    Hans-Hellmut Nagel

    Karlsruhe Institute of Technology, Germany

    1 publications · 12 citations

    1

    h-index

1–5 of 30

Venues

  1. Journal of Mechanical Design

    1 publications · 13 citations

    1

    h-index

  2. Computers & Graphics

    1 publications · 108 citations

    1

    h-index

  3. Sensors

    1 publications · 35 citations

    1

    h-index

  4. UC Berkeley

    Repository · 1 publications · 234 citations

    1

    h-index

  5. 1

    h-index

1–5