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Proceedings Paper

Self-positioning of a mobile robot using a vision system and image overlay with VRML
Author(s): Bang Hyun Kwon; Eun Ho Son; Sung Goo Yoo; Kil To Chong
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Paper Abstract

The research described a method for localizing a mobile robot in the working environment using a vision system and VRML. The robot identifies landmarks in the environment and carries out the self-positioning. The image-processing and neural network pattern matching techniques were employed to recognize landmarks placed in a robot working environment. The robot self-positioning using vision system was based on the well-known localization algorithm. After self-positioning, the 2D scene of the vision is overlaid with the VRML scene. How to realize the self-positioning was described. Also the result of overlapping between the 2D scene and VRML scene was shown. In addition, the advantage expected from overlapping both scenes described.

Paper Details

Date Published: 2 May 2006
PDF: 6 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60423U (2 May 2006); doi: 10.1117/12.664780
Show Author Affiliations
Bang Hyun Kwon, Chonbuk National Univ. (South Korea)
Eun Ho Son, Chonbuk National Univ. (South Korea)
Sung Goo Yoo, Chonbuk National Univ. (South Korea)
Kil To Chong, Chonbuk National Univ. (South Korea)

Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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