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

Authors

51.2K

  1. DM
    Dinesh Manocha

    University of North Carolina at Chapel Hill, United States

    97 publications · 7.2K citations

    49

    h-index

  2. MC
    Ming C. Lin

    University of North Carolina at Chapel Hill, United States

    55 publications · 5.3K citations

    37

    h-index

  3. LM
    L. Masetti

    European Organization for Nuclear Research, Switzerland

    40 publications · 4.2K citations

    29

    h-index

  4. GI
    G. Iacobucci

    Argonne National Laboratory, United States

    38 publications · 4.1K citations

    28

    h-index

  5. GC
    G. Chiodini

    University of Oklahoma, United States

    38 publications · 4.1K citations

    28

    h-index

1–5 of 51.2K

Venues

  1. ACM Transactions on Graphics

    TOG · 68 publications · 6.6K citations

    42

    h-index

  2. 41

    h-index

  3. Ocean Engineering

    63 publications · 4.4K citations

    34

    h-index

  4. Accident Analysis & Prevention

    49 publications · 3.8K citations

    33

    h-index

  5. The International Journal of Robotics Research

    IJRR · 42 publications · 12.9K citations

    31

    h-index

1–5