Model Predictive Collision Avoidance

Model Predictive Collision Avoidance is a collision avoidance maneuvering strategy that belongs to the class of model-based predictive control methods, distinguished by its use of dynamic system models and optimization over a receding horizon to determine optimal avoidance actions while explicitly accounting for constraints and future state predictions.

100

Publications

4.9K

Citations

305

Authors

123

Institutions

Publications per year

2017–2026

71

Authors

305

  1. TA
    Tor Arne Johansen

    Norwegian University of Science and Technology, Norway

    9 publications · 652 citations

    9

    h-index

  2. EB
    Edmund Brekke

    Norwegian University of Science and Technology, Norway

    7 publications · 339 citations

    7

    h-index

  3. BA
    Bassam Alrifaee

    RWTH Aachen University, Germany

    5 publications · 141 citations

    5

    h-index

  4. DK
    D. K. M. Kufoalor

    Norwegian University of Science and Technology, Norway

    4 publications · 212 citations

    4

    h-index

  5. HV
    Holger Voos

    University of Luxembourg, Luxembourg

    4 publications · 161 citations

    4

    h-index

1–5 of 305

Venues

  1. IFAC-PapersOnLine

    6 publications · 98 citations

    6

    h-index

  2. 6

    h-index

  3. IEEE Access

    4 publications · 73 citations

    4

    h-index

  4. IEEE Robotics and Automation Letters

    3 publications · 483 citations

    3

    h-index

  5. Journal of Intelligent & Robotic Systems

    3 publications · 137 citations

    3

    h-index

1–5