Paper
2 May 2006 Self-positioning of a mobile robot using a vision system and image overlay with VRML
Bang Hyun Kwon, Eun Ho Son, Sung Goo Yoo, Kil To Chong
Author Affiliations +
Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60423U (2006) https://doi.org/10.1117/12.664780
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bang Hyun Kwon, Eun Ho Son, Sung Goo Yoo, and Kil To Chong "Self-positioning of a mobile robot using a vision system and image overlay with VRML", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60423U (2 May 2006); https://doi.org/10.1117/12.664780
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KEYWORDS
Neural networks

Image processing

Pattern recognition

Java

Robot vision

Mobile robots

3D modeling

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