Separating Axis Theorem

Separating Axis Theorem is a geometric principle in collision detection that states two convex shapes are disjoint if and only if there exists a separating axis along which their projections do not overlap.

19

Publications

520

Citations

51

Authors

33

Institutions

Publications per year

2017–2026

7

Authors

51

  1. FL
    Ferenc Lombai

    Hungarian Academy of Sciences, Hungary

    2 publications · 35 citations

    2

    h-index

  2. GS
    Gábor Szederkényi

    HUN-REN Institute for Computer Science and Control, Hungary

    2 publications · 35 citations

    2

    h-index

  3. LZ
    Longquan Zhou

    Shandong University of Science and Technology, China

    1 publications · 24 citations

    1

    h-index

  4. HK
    Hasnat Khurshid

    National University of Sciences and Technology, Pakistan

    1 publications · 19 citations

    1

    h-index

  5. CA
    Carlos A. Moreira

    Universitat Politècnica de Catalunya, Spain

    1 publications · 33 citations

    1

    h-index

1–5 of 51

Venues

  1. 1

    h-index

  2. Journal of Mathematical Sciences

    1 publications · 12 citations

    1

    h-index

  3. Journal of Integrative Agriculture

    JIA · 1 publications · 19 citations

    1

    h-index

  4. Mathematical Problems in Engineering

    MPE · 1 publications · 19 citations

    1

    h-index

  5. Perception & Psychophysics

    1 publications · 20 citations

    1

    h-index

1–5