Rule-based Collision Avoidance

Rule-Based Collision Avoidance is a collision avoidance control method that determines maneuvering decisions through predefined logical rules or conditions derived from regulatory guidelines, operational practices, or heuristic knowledge, distinguishing it from optimization- or learning-based approaches by its reliance on explicit, deterministic criteria.

25

Publications

896

Citations

78

Authors

37

Institutions

Publications per year

2017–2026

4

Authors

78

  1. TF
    Takeshi Furuhashi

    Nagoya University, Japan

    1 publications · 37 citations

    1

    h-index

  2. MA
    Matthias Althoff

    Technical University of Munich, Germany

    1 publications · 17 citations

    1

    h-index

  3. MM
    Marco Muselli

    Institute of Electronics, Computer and Telecommunication Engineering, Italy

    1 publications · 13 citations

    1

    h-index

  4. RL
    Reeann L. Enriquez

    University of Santo Tomas, Philippines

    1 publications · 16 citations

    1

    h-index

  5. PN
    Paul Newman

    University of Oxford, United Kingdom

    1 publications · 136 citations

    1

    h-index

1–5 of 78

Venues

  1. Journal of the Robotics Society of Japan

    2 publications · 56 citations

    2

    h-index

  2. Robotics and Autonomous Systems

    2 publications · 143 citations

    2

    h-index

  3. International Shipbuilding Progress

    1 publications · 88 citations

    1

    h-index

  4. Journal of Marine Science and Engineering

    1 publications · 17 citations

    1

    h-index

  5. IFAC Proceedings Volumes

    1 publications · 42 citations

    1

    h-index

1–5