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Proceedings Paper

Vision navigation for UAV based on scene matching
Author(s): Xiang Li; Yang Shang; Ang Su; Wang Hou; Xiao-chun Liu; Xian-wei Zhu; Xia Yang; Hong-liang Zhang; Qi-feng Yu
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Paper Abstract

As a rising navigation technology, vision navigation has many advantages, such as passive measurement, antiinterference, no accumulation of error and comprehensive parameters, etc. It shows a promising application prospects in autonomous navigation for UAV. Based on an efficient, reliable and accurate scene matching, a vision altimeter and 3-D position estimation method are proposed. By matching multiple points between aerial image and reference image, it estimates UAV's position and height according to photogrammetry. To measure UAV's velocity, a mapless speed measurement method which tracks ground features between image sequences is introduced. Flight tests had shown the effectiveness and accuracy of our methods.

Paper Details

Date Published: 24 May 2012
PDF: 7 pages
Proc. SPIE 8388, Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV, 838806 (24 May 2012); doi: 10.1117/12.918867
Show Author Affiliations
Xiang Li, National Univ. of Defense Technology (China)
Aerospace Flight Dynamics Lab. (China)
Yang Shang, National Univ. of Defense Technology (China)
Ang Su, National Univ. of Defense Technology (China)
Wang Hou, National Univ. of Defense Technology (China)
Xiao-chun Liu, National Univ. of Defense Technology (China)
Xian-wei Zhu, National Univ. of Defense Technology (China)
Xia Yang, National Univ. of Defense Technology (China)
Hong-liang Zhang, National Univ. of Defense Technology (China)
Qi-feng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8388:
Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV
Edward M. Carapezza, Editor(s)

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