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dc.contributor.authorFossen, Sindre
dc.contributor.authorFossen, Thor I.
dc.date.accessioned2019-04-02T06:50:39Z
dc.date.available2019-04-02T06:50:39Z
dc.date.created2019-01-10T10:46:25Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-2085-4
dc.identifier.urihttp://hdl.handle.net/11250/2592802
dc.description.abstractThis paper addresses the problem of ship motion estimation using live data from Automatic Identification Systems (AIS) and extended Kalman filter (EKF) design. AIS data are transmitted from ships globally and a very-high frequency (VHF) AIS receiver picks up the signals as coded ASCII characters in a format specified by the National Marine Electronics Association (NMEA). Hence, the AIS sentences must be decoded using a parser to obtain real-time ship position, course and speed measurements. The state estimates are intended for collision detection and real-time visualization, which are important features of modern decision-support systems. The EKF is validated using live AIS data from the Trondheim harbor in Norway and it is demonstrated that the estimator can track ships in real time. It is also demonstrated that the EKF can predict the future motion of ships and different evasive maneuvers were analyzed in a collision avoidance scenario. Index Terms—Kalman filter, state estimation, motion prediction, collision detection, unmanned surface vehicles, shipsnb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartofProceedings of the European Conference on Electrical Engineering and Computer Science
dc.titleExtended Kalman Filter Design and Motion Prediction of Ships using Live Automatic Identification System (AIS) Datanb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.cristin1653844
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.unitcode194,63,55,0
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for IKT og realfag
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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