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  4. Ship Anti-Grounding with a Maritime Autonomous Surface Ship and Digital Twin of Port of Hamburg
 
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2023
Conference Paper
Title

Ship Anti-Grounding with a Maritime Autonomous Surface Ship and Digital Twin of Port of Hamburg

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.
Author(s)
Riordan, James
Constapel, Manfred
Fraunhofer-Institut für Materialfluss und Logistik IML  
Trslic, Petar
Dooly, Gerard
Oeffner, Johannes  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Schneider, Vincent Emanuel
Fraunhofer-Institut für Materialfluss und Logistik IML  
Mainwork
OCEANS 2023 Limerick  
Conference
OCEANS Conference & Exposition 2023  
Open Access
DOI
10.1109/OCEANSLimerick52467.2023.10244492
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Materialfluss und Logistik IML  
Keyword(s)
  • digital twin

  • safety

  • navigation

  • simulation

  • autonomous

  • unmanned vehicle

  • SONAR

  • hydrography

  • ports

  • merchant ship

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