8 December 2011 L1-graph-based image matching approach for UAV navigation
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Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030X (2011) https://doi.org/10.1117/12.901989
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. B. Zhou, H. B. Zhou, J. W. Tian, J. W. Tian, D. Z. Zhang, D. Z. Zhang, "L1-graph-based image matching approach for UAV navigation", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030X (8 December 2011); doi: 10.1117/12.901989; https://doi.org/10.1117/12.901989
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