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dc.contributor.authorPedersen, Tomen_GB
dc.contributor.authorGlomsrud, Jonen_GB
dc.contributor.authorRuud, Else-Line Maleneen_GB
dc.contributor.authorSimonsen, Aleksanderen_GB
dc.contributor.authorSandrib, Jarleen_GB
dc.contributor.authorEriksen, Bjørn-Olav Holtungen_GB
dc.date.accessioned2021-01-18T07:43:43Z
dc.date.accessioned2021-02-05T07:36:56Z
dc.date.available2021-01-18T07:43:43Z
dc.date.available2021-02-05T07:36:56Z
dc.date.issued2020-09
dc.identifier.citationPedersen, Glomsrud, Ruud EM, Simonsen AS, Sandrib J, Eriksen BO. Towards simulation-based verification of autonomous navigation systems. Safety Science. 2020;129en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/2826
dc.descriptionPedersen, Tom; Glomsrud, Jon; Ruud, Else-Line Malene; Simonsen, Aleksander; Sandrib, Jarle; Eriksen, Bjørn-Olav Holtung. Towards simulation-based verification of autonomous navigation systems. Safety Science 2020 ;Volum 129en_GB
dc.description.abstractAutonomous ships are expected to change water-based transport of both cargo and people, and large investments are being made internationally. There are many reasons for such transformation and interest, including shifting transport of goods from road to sea, reducing ship manning costs, reduced dangerous exposure for crew, and reduced environmental impact. Situational awareness (SA) systems and Autonomous navigation systems (ANS) are key elements of autonomous ships. Safe deployment of ANS will not be feasible based on real-life testing only, but will require large-scale, systematic simulation-based testing in addition to assurance of the development process. DNV GL proposes to use a digital twin, meaning a digital representation of key elements of the autonomous ship as a key tool for simulation-based testing. The digital twin contains comprehensive mathematical models of the ship and its equipment, including all sensors and actuators. The complete simulation-based test system complementing the digital twin should consist of a virtual world to simulate environmental conditions, geographical information and interaction with other maritime traffic. Finally, the test system must include a test management system that controls simulation of the digital twin and the virtual world, generates test scenarios as well as evaluates the test scenario results. An automatic scenario generation tool should search for low ANS performance, and ultimately establish sufficient coverage of the possible scenario space. The test scenario evaluation should automatically consider safety, conformance to collision regulations at sea (COLREG), and possibly also the efficiency of the ship navigation. This paper presents a comprehensive prototype of a test system for ANS. Key topics are simulation-based testing, interfacing the simulator and ANS, cooperation with ANS manufacturers, dynamic test scenario generation, automatic assessment towards COLREG and experiences from the cooperation with The Norwegian Defense Establishment (FFI).en_GB
dc.language.isoenen_GB
dc.subjectAutonomien_GB
dc.subjectSimuleringen_GB
dc.subjectScenarioeren_GB
dc.titleTowards simulation-based verification of autonomous navigation systemsen_GB
dc.typeArticleen_GB
dc.date.updated2021-01-18T07:43:42Z
dc.identifier.cristinID1837531
dc.identifier.doi10.1016/j.ssci.2020.104799
dc.source.issn0925-7535
dc.source.issn1879-1042
dc.type.documentJournal article
dc.relation.journalSafety Science


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