International Journal of Fuzzy Logic and Intelligent Systems

  • 제2권1호
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  • Pages.1-8
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  • 2002
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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A Study on Development of Visual Navigation System based on Neural Network Learning

  • Shin, Suk-Young (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Lee, Jang-Hee (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • You, Yang-Jun (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Kang, Hoon (School of Electrical and Electronic Engineering, Chung-Ang University)
  • 발행 : 2002.03.01
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초록

It has been integrated into several navigation systems. This paper shows that system recognizes difficult indoor roads without any specific marks such as painted guide line or tape. In this method the robot navigates with visual sensors, which uses visual information to navigate itself along the read. The Neural Network System was used to learn driving pattern and decide where to move. In this paper, I will present a vision-based process for AMR(Autonomous Mobile Robot) that is able to navigate on the indoor read with simple computation. We used a single USB-type web camera to construct smaller and cheaper navigation system instead of expensive CCD camera.

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참고문헌

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