LiU Electronic Press
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Author:
Conte, Gianpaolo (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
An Integrated UAV Navigation System Based on Aerial Image Matching
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
IEEE Aerospace Conference 2008,2008
Conference:
2008 IEEE Aerospace Conference
Publisher: IEEE
Series:
IEEE Aerospace Conference, ISSN 1095-323X
Pages:
3142-3151
Year of publ.:
2008
URI:
urn:nbn:se:liu:diva-44661
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-44661
ISBN:
978-1-4244-1487-1, 978-1-4244-1488-8
Local ID:
77249
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

The aim of this paper is to explore the possibility of using geo-referenced satellite or aerial images to augment an Unmanned Aerial Vehicle (UAV) navigation system in case of GPS failure. A vision based navigation system which combines inertial sensors, visual odometer and registration of a UAV on-board video to a given geo-referenced aerial image has been developed and tested on real flight-test data. The experimental results show that it is possible to extract useful position information from aerial imagery even when the UAV is flying at low altitude. It is shown that such information can be used in an automated way to compensate the drift of the UAV state estimation which occurs when only inertial sensors and visual odometer are used.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2013-09-17
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