Liu, Y;
Song, R;
Bucknall, R;
(2019)
Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS.
Cybernetics and Systems
, 50
(6)
pp. 539-555.
10.1080/01969722.2019.1630566.
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Abstract
With the increasing interest in autonomous shipping technology, to ensure ship’s safety it is vital to equip the ship with a navigational algorithm to continuously track the moving vessels in the area of interest and subsequently avoid any collisions. To address this problem, in this paper, an intelligent and robust tracking algorithm using the Kalman filter (KF) and Interacting Multiple Model (IMM) scheme has therefore been designed. The algorithm is able to provide accurate motion information of other ships in constrained environments using least navigational information. The capability of the proposed algorithm has been tested and verified in a number of computer-based simulations.
| Type: | Article |
|---|---|
| Title: | Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/01969722.2019.1630566 |
| Publisher version: | https://doi.org/10.1080/01969722.2019.1630566 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Interacting multiple model, Kalman filter, maritime navigation, automatic identification system |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10077441 |
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