A Vision Based Target Detection System for Docking of an Autonomous Underwater Vehicle
Maire, Frederic D., Prasser, David, Dunbabin, Matthew, & Dawson, Megan (2009) A Vision Based Target Detection System for Docking of an Autonomous Underwater Vehicle. In Proceedings of the 2009 Australasion Conference on Robotics and Automation, Australian Robotics and Automation Association, University of Sydney, Sydney.
This paper describes the development and preliminary
experimental evaluation of a visionbased
docking system to allow an Autonomous
Underwater Vehicle (AUV) to identify and attach
itself to a set of uniquely identifiable targets.
These targets, docking poles, are detected
using Haar rectangular features and rotation
of integral images. A non-holonomic controller
allows the Starbug AUV to orient itself with
respect to the target whilst maintaining visual
contact during the manoeuvre. Experimental
results show the proposed vision system is capable
of robustly identifying a pair of docking
poles simultaneously in a variety of orientations
and lighting conditions. Experiments in an outdoor
pool show that this vision system enables
the AUV to dock autonomously from a distance
of up to 4m with relatively low visibility.
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|Item Type:||Conference Paper|
|Keywords:||computer vision, submarine, underwater autonomous vehicle, docking|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Schools > School of Information Technology
|Copyright Owner:||Copyright 2009 Australian Robotics and Automation Association|
|Deposited On:||11 Dec 2009 10:27|
|Last Modified:||01 Mar 2012 00:05|
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