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dc.contributor.authorHaugen, Joakim
dc.contributor.authorImsland, Lars Struen
dc.date.accessioned2014-12-30T17:46:47Z
dc.date.accessioned2016-04-12T13:49:42Z
dc.date.available2014-12-30T17:46:47Z
dc.date.available2016-04-12T13:49:42Z
dc.date.issued2014
dc.identifier.citationModeling, Identification and Control 2014, 35(4):279-291nb_NO
dc.identifier.issn0332-7353
dc.identifier.urihttp://hdl.handle.net/11250/2385320
dc.description.abstractOne of the tasks in ice defense is to gather information about the surrounding ice environment using various sensor platforms. In this manuscript we identify two monitoring tasks known in literature, namely dynamic coverage and target tracking, and motivate how these tasks are relevant in ice defense using RPAS. An optimization-based path planning concept is outlined for solving these tasks. A path planner for the target tracking problem is elaborated in more detail and a hybrid experiment, which consists of both a real fixed-wing aircraft and simulated objects, is included to show the applicability of the proposed framework.nb_NO
dc.language.isoengnb_NO
dc.publisherNorsk Forening for Automatiseringnb_NO
dc.relation.urihttp://www.mic-journal.no/PDF/2014/MIC-2014-4-5.pdf
dc.rightsNavngivelse 3.0 Norge*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/no/*
dc.titleAutonomous Aerial Ice Observation for Ice Defensenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2014-12-30T17:46:47Z
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Teknisk kybernetikk: 553nb_NO
dc.subject.nsiVDP::Technology: 500::Information and communication technology: 550::Technical cybernetics: 553nb_NO
dc.source.volume35nb_NO
dc.source.journalModeling, Identification and Controlnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.4173/mic.2014.4.5
dc.identifier.cristin1189346
dc.subject.keywordArktisk teknologi / Arctic Technology
dc.subject.keywordDrone / Drone
dc.subject.keywordIsforvaltning / Ice Management
dc.subject.keywordMiljøovervåkning / Environmental monitoring
dc.description.localcode(c) 2014 Norwegian Society of Automatic Control. Creative Commons Attribution 3.0 Unported (CC BY 3.0) license. See: http://creativecommons.org/licenses/by/3.0/.nb_NO


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