Paper
7 May 2003 Vision-based UAV navigation using 3D GIS data
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476705
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
In this paper, we describe a novel approach to vision based navigation. In this approach, an airplane's position at each sampling time is estimated through a two-step process. In the first step, the plane's 3D motion is estimated from the current and previous image frames to produce an initial estimate of the plane's position. In the second step, the error in the initial position estimate is corrected by using a test image generated from a digital elevation map of the flight area and the previous frame. Experimental results demonstrated the efficacy of this approach--the correction step reduces position estimation error and with it, the error does not increase with time.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Zhang and Weisong Liu "Vision-based UAV navigation using 3D GIS data", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476705
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Error analysis

3D image processing

Motion estimation

3D image reconstruction

Unmanned aerial vehicles

Geographic information systems

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