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Proceedings Paper

Navigation system based on machine vision of multiple reference markers
Author(s): Xiaopeng Su; Wenbo Dong; Zhenyu Wang; Yuanyuan Zhou
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Paper Abstract

The position and attitude measurement of space object is a key problem in the field of real-time navigation, modern control and motion tracking. As a non-contact position and attitude estimation method, machine vision position and attitude estimation has the advantages of simple structure and convenient measurement. This paper presents a vision positioning system and method based on multiple reference markers. The camera moving along the object continuously collects images containing reference markers from the camera's field of view.The spatial position information of reference mark is determined in advance, and the position and direction of moving target are calculated according to location and attitude algorithm. The main contribution of this paper: first, a plurality of reference markers is arranged in the range of moving objects so as to enlarge the range of visual positioning; second, when more than one reference marker appears in the field of view, it is possible to improve the positioning accuracy by selecting the marker of the larger contour area or the marker of the distance closer to the imaging plane principal point; third, we use the decoder to transform the reference marker into digital number. This method can improve the robustness of the system.

Paper Details

Date Published: 15 November 2017
PDF: 9 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053V (15 November 2017); doi: 10.1117/12.2295880
Show Author Affiliations
Xiaopeng Su, North China Electric Power Univ. (China)
Wenbo Dong, Technology and Engineering Ctr. for Space Utilization (China)
Key Lab. for Space Utilization (China)
Zhenyu Wang, North China Electric Power Univ. (China)
Yuanyuan Zhou, Technology and Engineering Ctr. for Space Utilization (China)
Key Lab. for Space Utilization (China)

Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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