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dc.contributor.authorVagale, Anete
dc.contributor.authorBye, Robin Trulssen
dc.contributor.authorOucheikh, Rachid
dc.contributor.authorOsen, Ottar
dc.contributor.authorFossen, Thor I.
dc.date.accessioned2022-02-18T12:46:18Z
dc.date.available2022-02-18T12:46:18Z
dc.date.created2021-02-18T13:25:29Z
dc.date.issued2021
dc.identifier.citationJournal of Marine Science and Technology. 2021, .en_US
dc.identifier.issn0948-4280
dc.identifier.urihttps://hdl.handle.net/11250/2980063
dc.description.abstractArtificial intelligence is an enabling technology for autonomous surface vehicles, with methods such as evolutionary algorithms, artificial potential fields, fast marching methods, and many others becoming increasingly popular for solving problems such as path planning and collision avoidance. However, there currently is no unified way to evaluate the performance of different algorithms, for example with regard to safety or risk. This paper is a step in that direction and offers a comparative study of current state-of-the art path planning and collision avoidance algorithms for autonomous surface vehicles. Across 45 selected papers, we compare important performance properties of the proposed algorithms related to the vessel and the environment it is operating in. We also analyse how safety is incorporated, and what components constitute the objective function in these algorithms. Finally, we focus on comparing advantages and limitations of the 45 analysed papers. A key finding is the need for a unified platform for evaluating and comparing the performance of algorithms under a large set of possible real-world scenarios.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePath planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithmsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber17en_US
dc.source.journalJournal of Marine Science and Technologyen_US
dc.identifier.doi10.1007/s00773-020-00790-x
dc.identifier.cristin1891364
dc.relation.projectNorges forskningsråd: 2018-27en_US
dc.relation.projectNorges forskningsråd: 223254en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal