Adaptive Collision Avoidance

Adaptive Collision Avoidance is a collision avoidance control method that dynamically adjusts its strategies in response to real-time changes in environmental conditions and system uncertainties, distinguishing itself from static or rule-based approaches through its capacity for online learning and performance optimization.

69

Publications

2.9K

Citations

229

Authors

108

Institutions

Publications per year

2017–2026

34

Authors

229

  1. MJ
    Mykel J. Kochenderfer

    Stanford University, United States

    4 publications · 126 citations

    4

    h-index

  2. SM
    Seungwuk Moon

    Seoul National University, South Korea

    3 publications · 356 citations

    3

    h-index

  3. KY
    Kyongsu Yi

    Seoul National University, South Korea

    3 publications · 356 citations

    3

    h-index

  4. JS
    Jaideep Srivastava

    University of Minnesota, United States

    2 publications · 261 citations

    2

    h-index

  5. WL
    Wonjun Lee

    Korea University, South Korea

    2 publications · 261 citations

    2

    h-index

1–5 of 229

Venues

  1. IEEE Access

    4 publications · 116 citations

    4

    h-index

  2. Accident Analysis & Prevention

    3 publications · 106 citations

    3

    h-index

  3. Ocean Engineering

    3 publications · 67 citations

    3

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 261 citations

    2

    h-index

  5. 2

    h-index

1–5