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Proceedings Paper

An embedded omnidirectional vision navigator for automatic guided vehicles
Author(s): Weijia Feng; Baofeng Zhang; Juha Röning; Zuoliang Cao; Xiaoning Zong
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Paper Abstract

Omnidirectional vision appears the definite significance since its advantage of acquiring full 360° horizontal field of vision information simultaneously. In this paper, an embedded original omnidirectional vision navigator (EOVN) based on fish-eye lens and embedded technology has been researched. Fish-eye lens is one of the special ways to establish omnidirectional vision. However, it appears with an unavoidable inherent and enormous distortion. A unique integrated navigation method which is conducted on the basis of targets tracking has been proposed. It is composed of multi-target recognition and tracking, distortion rectification, spatial location and navigation control. It is called RTRLN. In order to adapt to the different indoor and outdoor navigation environments, we implant mean-shift and dynamic threshold adjustment into the Particle Filter algorithm to improve the efficiency and robustness of tracking capability. RTRLN has been implanted in an independent development embedded platform. EOVN likes a smart crammer based on COMS+FPGA+DSP. It can guide various vehicles in outdoor environments by tracking the diverse marks hanging in the air. The experiments prove that the EOVN is particularly suitable for the guidance applications which need high requirements on precision and repeatability. The research achievements have a good actual applied inspection.

Paper Details

Date Published: 24 January 2011
PDF: 12 pages
Proc. SPIE 7878, Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques, 78780N (24 January 2011); doi: 10.1117/12.872281
Show Author Affiliations
Weijia Feng, Tianjin Univ. (China)
Baofeng Zhang, Tianjin Univ. (China)
Juha Röning, Univ. of Oulu (Finland)
Zuoliang Cao, Tianjin Univ. of Technology (China)
Xiaoning Zong, Tianjin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7878:
Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques
Juha Röning; David P. Casasent; Ernest L. Hall, Editor(s)

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