dc.contributor.author | Fossen, Sindre | |
dc.contributor.author | Fossen, Thor I. | |
dc.date.accessioned | 2019-02-11T09:09:26Z | |
dc.date.available | 2019-02-11T09:09:26Z | |
dc.date.created | 2018-11-11T17:46:50Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Modeling, Identification and Control. 2018, 39 (4), 233-244. | nb_NO |
dc.identifier.issn | 0332-7353 | |
dc.identifier.uri | http://hdl.handle.net/11250/2584706 | |
dc.description.abstract | This paper addresses the problem of ship motion estimation using live data from Automatic Identification Systems (AIS). A globally exponentially stable observer for visualization and motion prediction of ships has been designed. Instead of using the extended Kalman filter (EKF) to deal with the kinematic nonlinearities the eXogenous Kalman Filter (XKF) is applied and by this global stability properties are proven. The proposed observer was validated using live AIS data from the Trondheim harbor in Norway and it was demonstrated that the observer tracks ships in real time. It was also demonstrated that the observer can predict the future motion of ships. The motion prediction capabilities are very useful for decision-support systems since this can be used to improve situational awareness e.g. for manned and unmanned autonomous ships that operate in common waters. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Norsk Forening for Automatisering (Norwegian Society of Automatic Control) | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | eXogenous Kalman Filter (XKF) for Visualization and Motion Prediction of Ships using Live Automatic Identification Systems (AIS) Data | nb_NO |
dc.title.alternative | eXogenous Kalman Filter (XKF) for Visualization and Motion Prediction of Ships using Live Automatic Identification Systems (AIS) Data | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 233-244 | nb_NO |
dc.source.volume | 39 | nb_NO |
dc.source.journal | Modeling, Identification and Control | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.4173/mic.2018.4.1 | |
dc.identifier.cristin | 1629127 | |
dc.relation.project | Norges forskningsråd: 223254 | nb_NO |
dc.description.localcode | © 2018 Norwegian Society of Automatic Control. All articles in MIC are published with the Creative Commons Attribution 3.0 Unported (CC BY 3.0) license. See: http://creativecommons.org/licenses/by/3.0/. | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |