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Proceedings Paper

A novel technique for vision-based UAV navigation
Author(s): J. Zhang; W. Liu; Y. Wu
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Paper Abstract

In this paper, we describe a novel technique for vision based UAV (unmanned aerial vehicle) navigation. In this technique, the navigation (position estimation) problem is formulated as a tracking problem and solved by a particle filter. The state and observation models of the particle filter are established based on a stereo analysis of the image sequence generated by the UAV's video camera in connection with a DEM (digital elevation map) of the area of the flight, which helps to control estimation error accumulation. The efficacy of this technique is demonstrated by simulation experimental results.

Paper Details

Date Published: 2 September 2009
PDF: 9 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744303 (2 September 2009); doi: 10.1117/12.827497
Show Author Affiliations
J. Zhang, Univ. of Wisconsin-Milwaukee (United States)
W. Liu, Univ. of Wisconsin-Milwaukee (United States)
Y. Wu, Univ. of Wisconsin-Milwaukee (United States)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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