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Proceedings Paper

L1-graph-based image matching approach for UAV navigation
Author(s): H. B. Zhou; J. W. Tian; D. Z. Zhang
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Paper Abstract

Keywords: Unmanned Aerial Vehicles (UAVs) are been increasingly used in civilian and military domains. Vision-aided inertial navigation system in UAV is studied by more and more researchers for it's non-contact, high accuracy and stability. In this paper, an L1-Graph-based image matching approach, which constructs neighbouring system based on sparse representation, is proposed for monocular motion vision measurement. Then, a scheme for amending the outputs of inertial sensor for the velocity measurement is designed, which fuse the outputs from the downward-looking velocity measurement and inertial sensor by Kalman filter. Experiments show this design form an accurate navigation solution.

Paper Details

Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030X (8 December 2011); doi: 10.1117/12.901989
Show Author Affiliations
H. B. Zhou, Huazhong Univ. of Science and Technology (China)
J. W. Tian, Huazhong Univ. of Science and Technology (China)
D. Z. Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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