Parallel Automaton Representation of Marine Crafts’ COLREGs-based Manoeuvering Behaviours

Dimitrios Papageorgiou, Mogens Blanke, Marie Lützen, Mette Bennedsen, John Mogensen, Søren Hansen

    Research output: Contribution to journalJournal articleResearchpeer-review

    131 Downloads (Orbit)

    Abstract

    With international rules of navigation, the IMO COLREGS, describing the regulatory behaviours of marine vessels relative to each other, correct interpretation of situations is instrumental to the successful navigation at sea. This becomes even more crucial when temporal unattended bridge or fully unmanned navigation is aimed at. Based on a breakdown of COLREG rules, this paper presents a framework for representation of manoeuvering behaviours, that are expected when all vessels obey the rules. Our analysis is based on discrete-event systems theory and the proposed framework consists of sets of finite automata, segregating situation assessment
    from decision making. An intermediate supervisory layer coordinates the communication of these automata modules. The framework is tested in simulation environment using a realistic scenario.
    Original languageEnglish
    Book seriesIFAC-PapersOnLine
    Volume52
    Issue number21
    Pages (from-to)103-110
    ISSN2405-8963
    DOIs
    Publication statusPublished - 2019
    Event12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019) - KAIST, Daejeon, Korea, Republic of
    Duration: 18 Sept 201920 Sept 2019

    Conference

    Conference12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2019)
    LocationKAIST
    Country/TerritoryKorea, Republic of
    CityDaejeon
    Period18/09/201920/09/2019

    Keywords

    • Autonomous vessels
    • Situation assessment
    • Discrete-event systems
    • Finite-state automata
    • COLREGs representation
    • Collision avoidance

    Fingerprint

    Dive into the research topics of 'Parallel Automaton Representation of Marine Crafts’ COLREGs-based Manoeuvering Behaviours'. Together they form a unique fingerprint.
    • ShippingLab Autonomy

      Blanke, M. (PI), Galeazzi, R. (CoPI), Dittmann, K. (CoPI), Hansen, S. (CoPI), Papageorgiou, D. (Supervisor), Nalpantidis, L. (Supervisor), Schöller, F. E. T. S. (PhD Student), Plenge-Feidenhans'l, M. K. (PhD Student), Hansen, N. (PhD Student), Andersen, R. H. (Project Participant), Becktor, J. B. (PhD Student), Enevoldsen, T. T. (PhD Student), Dagdilelis, D. (PhD Student), Karstensen, P. I. H. (Project Participant), Nielsen, R. E. (Project Participant), Garde, J. (Project Participant), Ravn, O. (Supervisor), Christin, L. P. E. (PI) & Nielsen, R. E. (Project Participant)

      01/04/201931/12/2022

      Project: Research

    • ASAN: Autonomous Situation Awareness for Navigation

      Blanke, M. (PI), Hansen, S. (Project Participant), Papageorgiou, D. (Project Participant) & Stets, J. D. (Project Participant)

      01/12/201831/03/2021

      Project: Research

    Cite this