ShippingLab Autonomy

  • Blanke, Mogens (PI)
  • Galeazzi, Roberto (CoPI)
  • Dittmann, Kjeld (CoPI)
  • Hansen, Søren (CoPI)
  • Papageorgiou, Dimitrios (Supervisor)
  • Nalpantidis, Lazaros (Supervisor)
  • Schöller, Frederik Emil Thorsson Saabye (PhD Student)
  • Plenge-Feidenhans'l, Martin Krarup (PhD Student)
  • Hansen, Nicholas (PhD Student)
  • Andersen, Rasmus Hjorth (Project Participant)
  • Becktor, Jonathan Binner (PhD Student)
  • Enevoldsen, Thomas Thuesen (PhD Student)
  • Dagdilelis, Dimitrios (PhD Student)
  • Karstensen, Peter Iwer Hoedt (Project Participant)
  • Nielsen, Rasmus Esbjørn (Project Participant)
  • Garde, Jakob (Project Participant)
  • Ravn, Ole (Supervisor)
  • Christin, Luc Pierre Etienne (PI)
  • Nielsen, Rasmus Esbjørn (Project Participant)

    Project Details

    Description

    The Maritime Autonomy framework research at DTU Electrical Engineering, the Automation and Control Group, is supported by individual research projects:
    - Autonomy at Sea – public research consultancy for the Danish Maritime Authority. Sponsored by the Danish Maritime Fund ( PI: Professor Mogens Blanke)
    - Electronic Outlook – public research consultancy for Danish Maritime Authority, sponsored by the Danish Maritime Fund. (PI: Professor Mogens Blanke)
    - ASAN - Autonomous Situation Awareness for Navigation – Applied research on automated situation awareness. Sponsored by the Danish Maritime Fund. Orients Fund and the Lauritzen Foundation. (PI: Professor Mogens Blanke)
    - ShippingLab Autonomy – Sponsored by the Danish Innovation Fund (grand solutions - grant number 8090-00063A), the Danish Maritime Fund, Orients Fund and the Lauritzen Foundation. (PI: Professor Mogens Blanke)
    - SafeNav – public research consultancy for the Danish Maritime Authority, Sponsored by the Danish Maritime Fund. (PI: Associate Professor Roberto Galeazzi)

    The overall objective of ShippingLab Autonomy is to be able to demonstrate autonomy up to unmanned operation of a Danish vessel.
    We will achieve this objective by developing novel methods and algorithms for autonomous vessels where this is needed, and integrate with existing technology for navigation, steering, manoeuvring and berthing where this is possible.

    The detailed objectives include:
    - Demonstrate decision support as ad-on retrofit for vessel to enhance safety against grounding and collisions, and pave the way for temporarily unattended navigation
    - Demonstrate unmanned operation of harbour bus with built in safety in form of autonomous supervision that can enable shore assistance and remote manoeuvring control if needed.

    An open system architecture and interface standard will be defined, that will make vendors able to supply equipment and deliver services and enable modular validation and approval of modules for autonomous vessels in the future.

    Focus of the ShippingLab Autonomy work package will be twofold. One case will be retrofit of existing vessels with ad-on autonomy functionality. Benefits will include the possibility of temporally unmanned bridge and enhanced safety against grounding and collisions.

    Two other cases will focus on new-built electric ferries, where one-man operation shall be possible for a larger vessel, another will be a harbour bus with unmanned operation.

    Technology developed by innovative research in this research effort aims on enhancing the competitive edge of maritime suppliers located in Denmark.
    Short titleMarine Autonomy
    StatusFinished
    Effective start/end date01/04/201931/12/2022

    Collaborative partners

    • Technical University of Denmark (lead)
    • Svendborg International Maritime Academy (Project partner)
    • Wartsila Lyngsø Marine A/S (Project partner)
    • Danelec Marine ApS (Project partner)
    • Logimatic (Project partner)
    • DFDS (Project partner)
    • TUCO Marine ApS (Project partner)
    • Molslinjen (Project partner)
    • Center for Logistik og Samarbejde (Joint applicant)

    UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

    • SDG 14 - Life Below Water

    Keywords

    • Highly automated marine vessels
    • autonomous marine vessel
    • unmanned harbor bus
    • decision support
    • recilience
    • autonomous supervison
    • autonomous situation awareness
    • maritime safety
    • risk mitigation
    • remote monitoring
    • autonomous navigation
    • autonomous decision support
    • multi modal sensor fusion
    • recilience against mitigation ofcyber-physical risk

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