Collision Avoidance System Testing

Collision Avoidance System Testing is a systematic methodology within safety systems testing that evaluates the performance, reliability, and responsiveness of collision avoidance technologies by assessing their ability to detect, predict, and mitigate potential collisions under controlled and real-world operational scenarios.

151

Publications

4.4K

Citations

501

Authors

155

Institutions

Publications per year

2017–2026

40

Authors

501

  1. MJ
    Mykel J. Kochenderfer

    Stanford University, United States

    7 publications · 262 citations

    7

    h-index

  2. OJ
    Ole J. Mengshoel

    Carnegie Mellon University, United States

    4 publications · 150 citations

    4

    h-index

  3. AB
    Arthur Barfield

    United States Air Force Research Laboratory, United States

    4 publications · 95 citations

    4

    h-index

  4. RL
    Ritchie Lee

    Carnegie Mellon University, United States

    4 publications · 150 citations

    4

    h-index

  5. DR
    Durand R. Begault

    Ames Research Center, United States

    4 publications · 210 citations

    4

    h-index

1–5 of 501

Venues

  1. Ocean Engineering

    4 publications · 148 citations

    5

    h-index

  2. 4

    h-index

  3. 3

    h-index

  4. 2

    h-index

  5. 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)

    Conference · 2 publications · 84 citations

    2

    h-index

1–5