Open Access

Vision-Based Unmanned Aerial Vehicle Navigation Using Geo-Referenced Information

EURASIP Journal on Advances in Signal Processing20092009:387308

https://doi.org/10.1155/2009/387308

Received: 31 July 2008

Accepted: 23 April 2009

Published: 7 June 2009

Abstract

This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation system with a passive video camera in order to cope with long-term GPS outages. The paper proposes a vision-based navigation architecture which combines inertial sensors, visual odometry, and registration of the on-board video to a geo-referenced aerial image. The vision-aided navigation system developed is capable of providing high-rate and drift-free state estimation for UAV autonomous navigation without the GPS system. Due to the use of image-to-map registration for absolute position calculation, drift-free position performance depends on the structural characteristics of the terrain. Experimental evaluation of the approach based on offline flight data is provided. In addition the architecture proposed has been implemented on-board an experimental UAV helicopter platform and tested during vision-based autonomous flights.

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Authors’ Affiliations

(1)
Artificial Intelligence and Integrated Computer System Division, Department of Computer and Information Science, Linköping University

Copyright

© G. Conte and P. Doherty. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.