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Proceedings Paper

Research on omnidirectional motion of AGV based on vision guidance
Author(s): Jian Bao; Zai Luo; Dong Li
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Paper Abstract

This topic mainly studies the navigation parameters obtained by image processing technology to achieve omnidirectional mobile AGV autonomous navigation. The camera is mounted on the bottom of the body of the AGV and captures the black tape path on the ground. Image preprocessing is performed, including image graying, improved CANNY algorithm edge detection, morphological processing, and so on. Then the Hough transform is used to detect the path of the preprocessed image. Finally, a straight line is selected to obtain the effective edge line, and the navigation deviation parameters are extracted. Experimental results show that the effectiveness of the guidance techniques in this paper has achieved the expected results.

Paper Details

Date Published: 7 March 2019
PDF: 8 pages
Proc. SPIE 11053, Tenth International Symposium on Precision Engineering Measurements and Instrumentation, 1105335 (7 March 2019); doi: 10.1117/12.2512102
Show Author Affiliations
Jian Bao, China Jiliang Univ. (China)
Zai Luo, China Jiliang Univ. (China)
Dong Li, China Jiliang Univ. (China)

Published in SPIE Proceedings Vol. 11053:
Tenth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Jie Lin, Editor(s)

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