Optimization-based Collision Avoidance

Optimization-Based Collision Avoidance is a collision avoidance method that formulates the problem of preventing unwanted encounters between entities as an optimization task, where safety constraints and performance objectives are jointly minimized or balanced to determine optimal avoidance maneuvers.

152

Publications

6.9K

Citations

411

Authors

179

Institutions

Publications per year

2017–2026

77

Authors

411

  1. MJ
    Mykel J. Kochenderfer

    Stanford University, United States

    7 publications · 576 citations

    7

    h-index

  2. JC
    James Chryssanthacopoulos

    Columbia University, United States

    5 publications · 151 citations

    5

    h-index

  3. LF
    Laureano F. Escudero

    Universidad Rey Juan Carlos, Spain

    4 publications · 223 citations

    4

    h-index

  4. AA
    Antonio Alonso‐Ayuso

    Universidad Rey Juan Carlos, Spain

    4 publications · 223 citations

    4

    h-index

  5. FJ
    F. Javier Martín-Campo

    Universidad Complutense de Madrid, Spain

    4 publications · 223 citations

    4

    h-index

1–5 of 411

Venues

  1. Ocean Engineering

    8 publications · 314 citations

    8

    h-index

  2. 7

    h-index

  3. Journal of Guidance Control and Dynamics

    4 publications · 262 citations

    4

    h-index

  4. Robotics and Autonomous Systems

    4 publications · 84 citations

    4

    h-index

  5. Journal of Marine Science and Engineering

    3 publications · 75 citations

    3

    h-index

1–5