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dc.contributor.authorHagen, Inger Berge
dc.contributor.authorKufoalor, D. Kwame Minde
dc.contributor.authorBrekke, Edmund Førland
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2019-03-29T07:49:57Z
dc.date.available2019-03-29T07:49:57Z
dc.date.created2018-06-04T13:03:22Z
dc.date.issued2018
dc.identifier.citationIEEE International Conference on Robotics and Automation. 2018, 7618-7623.nb_NO
dc.identifier.issn2152-4092
dc.identifier.urihttp://hdl.handle.net/11250/2592313
dc.description.abstractThis paper presents a viable approach for incorporating collision avoidance strategies into existing guidance and control systems on marine vessels. We propose a method that facilitates the use of simulation-based Model Predictive Control (MPC) for collision avoidance (COLAV) on marine vessels. Any COLAV strategy to be applied in real traffic must adhere to the international regulations for preventing collisions at sea (COLREGS). The proposed MPC COLAV method does not rely on an accurate model of the guidance system to achieve vessel behaviors that are compliant with the COLREGS. Rather, it depends on transitional costs in the MPC objective for collision avoidance maneuvers that are being executed by the marine vessel. Hence, it is straightforward to implement the MPC COLAV on different vessels without specific knowledge of the vessel's guidance strategy. Moreover, it offers the possibility to switch between different (possibly application specific) guidance strategies on the same vessel while running the same MPC COLAV algorithm. We present results from full scale experiments that show the viability of our method in different collision avoidance scenarios.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.titleMPC-based Collision Avoidance Strategy for Existing Marine Vessel Guidance Systemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber7618-7623nb_NO
dc.source.journalIEEE International Conference on Robotics and Automationnb_NO
dc.identifier.doi10.1109/ICRA.2018.8463182
dc.identifier.cristin1588775
dc.relation.projectNorges forskningsråd: 244116nb_NO
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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