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Abstract
Unmanned surface vehicles are becoming increasingly vital tools in a variety of maritime applications. Unfortunately, their usability is severely constrained by the lack of a reliable obstacle detection and avoidance system. In this article, one such experimental platform is proposed, which performs obstacle detection, risk assessment and path planning (avoidance) tasks autonomously in an integrated manner. The detection system is based on a vision-LIDAR (light detection and ranging) system, whereas a heuristic path planner is utilised. A unique property of the path planner is its compliance with the marine collision regulations. It is demonstrated through hardware-in-the-loop simulations that the proposed system can be useful for both uninhabited and manned vessels.
Original language | English |
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Pages (from-to) | 108-121 |
Number of pages | 14 |
Journal | Institution of Mechanical Engineers. Proceedings. Part M: Journal of Engineering for the Maritime Environment |
Volume | 228 |
Issue number | 2 |
Early online date | 05 Nov 2013 |
DOIs | |
Publication status | Published - 14 May 2014 |
Bibliographical note
Special issue on Unmanned Marine VehiclesFingerprint
Dive into the research topics of 'An automatic COLREGs-compliant obstacle avoidance system for an unmanned surface vehicle'. Together they form a unique fingerprint.Projects
- 1 Finished
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R1172ELE: COLREGs-based evasive decision making in maritime vehicles
Naeem, W. (PI)
01/08/2010 → 02/01/2012
Project: Research