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Proceedings Paper

Navigation for wheel mobile robot based on EKF with global vision system
Author(s): Fan Xie; Shiyin Qin
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Paper Abstract

In this pper, a new approach to wheel mobile robot navigation with global vision system is proposed. The moving object detection method with GMM (Gaussian Mixture Model) based background modeling is applied to extract the moving object from the image captured by a wide angle camera fixed on ceiling. Through a mapping transformation, the position of robot in the real world can be measured and the Extended Klman Filter is employed to obtain more accurate navigation data. With a series of simulations and experiments, the validity of this approach to wheel mobile robot navigation is verified.

Paper Details

Date Published: 13 October 2008
PDF: 8 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71290U (13 October 2008); doi: 10.1117/12.807366
Show Author Affiliations
Fan Xie, Beijing Univ. of Aeronautics and Astronautics (China)
Shiyin Qin, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration

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