Predictive Collision Detection

Predictive Collision Detection is a computational method in human-robot interaction that, as a subset of collision avoidance systems, distinguishes itself by anticipatorily identifying potential collisions through forward-looking models of human and robot motion dynamics rather than relying solely on current positional proximity.

12

Publications

359

Citations

39

Authors

15

Institutions

Publications per year

2017–2026

5

Authors

39

  1. HY
    Hwasoo Yeo

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 83 citations

    2

    h-index

  2. SH
    Sang Hyun Lee

    University of Michigan, United States

    2 publications · 99 citations

    2

    h-index

  3. BN
    Byeongjoon Noh

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 83 citations

    2

    h-index

  4. SR
    Sverker Runeson

    Uppsala University, Sweden

    1 publications · 65 citations

    1

    h-index

  5. OK
    Oje Kwon

    Pusan National University, South Korea

    1 publications · 17 citations

    1

    h-index

1–5 of 39

Venues

  1. Perception & Psychophysics

    1 publications · 65 citations

    1

    h-index

  2. ETRI Journal

    1 publications · 25 citations

    1

    h-index

  3. IEEE Virtual Reality Conference

    Conference · 1 publications · 10 citations

    1

    h-index

  4. Accident Analysis & Prevention

    1 publications · 39 citations

    1

    h-index

  5. 1

    h-index

1–5