{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T13:23:39Z","timestamp":1780493019808,"version":"3.54.1"},"reference-count":35,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T00:00:00Z","timestamp":1497916800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>It is essential for the marine navigator conducting maneuvers of his ship at sea to know future positions of himself and target ships in a specific time span to effectively solve collision situations. This article presents an algorithm of ship movement trajectory prediction, which, through data fusion, takes into account measurements of the ship\u2019s current position from a number of doubled autonomous devices. This increases the reliability and accuracy of prediction. The algorithm has been implemented in NAVDEC, a navigation decision support system and practically used on board ships.<\/jats:p>","DOI":"10.3390\/s17061432","type":"journal-article","created":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T10:15:38Z","timestamp":1497953738000},"page":"1432","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":84,"title":["The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion"],"prefix":"10.3390","volume":"17","author":[{"given":"Piotr","family":"Borkowski","sequence":"first","affiliation":[{"name":"Maritime University of Szczecin, Wa\u0142y Chrobrego 1, Szczecin 70500, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6771","DOI":"10.3390\/s110706771","article-title":"Data fusion algorithms for multiple inertial measurement units","volume":"11","author":"Bancroft","year":"2011","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1049\/iet-rsn.2016.0409","article-title":"Proposal of neural approach to maritime radar and automatic identification system tracks association","volume":"11","author":"Kazimierski","year":"2017","journal-title":"IET Radar Sonar Navig."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1017\/S0373463315000405","article-title":"Radar and automatic identification system track fusion in an electronic chart display and information system","volume":"68","author":"Kazimierski","year":"2015","journal-title":"J. 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