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Ship anti-grounding with a maritime autonomous surface ship and digital twin of Port of Hamburg

  • James Riordan
  • , Manfred Constapel
  • , Petar Trslic
  • , Gerard Dooly
  • , Johannes Oeffner
  • , Vincent. Schneider

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    44 Downloads (Pure)

    Abstract

    We present the virtual demonstration of a novel ship Anti-Grounding Service in a digital twinned use case scenario in the Port of Hamburg. The scenario is generated from real bathymetry survey data collected in the Port. The virtual model of a Maritime Autonomous Surface Ship travels the route ahead of merchant ships on approach to the Port and is integrated with a real-time high-resolution Multibeam SONAR Simulator that synthesizes underkeel survey data. The automated data processing workflow detects potential grounding hazards in the synthetic survey data and provides a real-time update of the Port nautical chart, which is presented in the Electronic Chart Display and Information System of a Ship Handling Simulator. Our method is the first to consider Multibeam SONAR equipped Maritime Autonomous Surface Ship platforms for provision of ship Anti-Grounding Services. The results validate the full-scale simulation and automated hazard detection workflow and incorporate tests conducted with certified mariners (N=10) to address human factors of introducing new technologies into safety critical situations. The key contributions of this work are summarized as: 1) Validation of Maritime Autonomous Surface Ships as an Anti-Grounding Service delivery platform; 2) Demonstration of a Digital Twin for hydrography survey and bottom hazard detection; and 3) Experimental validation with certified mariners of the anti-grounding service Human-Computer Interface on the ship bridge.
    Original languageEnglish
    Title of host publicationOCEANS 2023 - Limerick
    PublisherIEEE
    Number of pages8
    ISBN (Electronic)9798350332261
    ISBN (Print)9798350332278
    DOIs
    Publication statusPublished - 12 Sept 2023

    Keywords

    • digital twin
    • safety
    • navigation
    • simulation
    • autonomous
    • unmanned vehicle
    • SONAR
    • hydrography
    • ports
    • merchant ship

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