Paper
2 September 2009 A novel technique for vision-based UAV navigation
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Zhang, W. Liu, and Y. Wu "A novel technique for vision-based UAV navigation", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744303 (2 September 2009); https://doi.org/10.1117/12.827497
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Cited by 1 scholarly publication.
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KEYWORDS
Unmanned aerial vehicles

Video

Error analysis

Cameras

Reconstruction algorithms

Particle filters

Imaging systems

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