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Autonomous navigation system for unmanned surface vehicles

Bucknall, RWG; Liu, YC; Song, WW; (2014) Autonomous navigation system for unmanned surface vehicles. In: Proceedings of the 13th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT’14. (pp. pp. 123-135). COMPIT: Redworth, UK. Green open access

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Abstract

This paper presents work on the development of a real-time autonomous navigation system for Unmanned Surface Vehicles (USVs). The navigation system being developed is using an embedded hosting platform consisting of navigational data fusion processes together with algorithms used for path planning and collision avoidance when the USV is operating alone or in cooperation. An improved A* path planning algorithm based on rasterized map is developed for single USV operation; whereas the fast marching square algorithm is implemented for multiple USVs. Both algorithms have been tested using a practical simulation environment. The resulting trajectories are guaranteed to be the shortest collision-free path.

Type: Proceedings paper
Title: Autonomous navigation system for unmanned surface vehicles
Event: 13th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT’14
Location: Redworth
Dates: 12 May 2014 - 14 May 2014
Open access status: An open access version is available from UCL Discovery
Publisher version: http://data.hiper-conf.info/compit2014_redworth.pd...
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.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1460924
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