Liu, W;
Liu, Y;
Song, R;
Bucknall, R;
(2015)
The design of an autonomous maritime navigation system for unmanned surface vehicles.
In: Bertram, Volker, (ed.)
Proceedings of 14th International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT).
Technische Universität Hamburg: Hamburg, Germany.
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Abstract
This paper presents the development of an autonomous maritime navigation system for unmanned surface vehicles (USVs). In the autonomous system various maritime navigational devices are connected to obtain necessary navigational information but with uncertainties. To improve signal accuracy as well as robustness, a novel multi-sensor data fusion algorithm is proposed and developed. Then, a new predictive path planning algorithm is employed to provide an advisory collision-free trajectory. Practical trials and computer based simulations are carried out to prove the effectiveness of the developed system
| Type: | Proceedings paper |
|---|---|
| Title: | The design of an autonomous maritime navigation system for unmanned surface vehicles |
| Event: | 14th International Conference on Computer Applications and Information Technology in the Maritime Industries |
| Location: | Ulrichshusen/Germany |
| Dates: | 11 May 2015 - 14 May 2015 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://data.hiper-conf.info/compit2015_ulrichshuse... |
| 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/1573501 |
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