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

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conference contribution
posted on 2024-01-23, 13:09 authored by James Riordan, Manfred Constapel, Petar TrslicPetar Trslic, Gerard DoolyGerard Dooly, Johannes Oeffner, Vincent Schneider

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 antigrounding service Human-Computer Interface on the ship bridge.

Funding

Joint project: MarTERA - RoboVaaS - Robotic Vessels as-a-Service, project: Test environment for operation, development and demonstration

Federal Ministry for Economic Affairs and Energy

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History

Publication

OCEANS 2023, pp. 1-8

Publisher

IEEE

Other Funding information

The RoboVaaS project received funding from the German Federal Ministry of Economic Affairs and Energy under support code 03SX463A, Universities and Research (MIUR) and Marine Institute Ireland under the Marine Research Programme by the Irish Government and co-funded by the European Commission under the framework of ERA-NET Cofund MarTERA in conjunction with JPI Oceans.

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  • (9) Industry, Innovation and Infrastructure

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