Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1997.11a
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- Pages.141-144
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- 1997
Navigation Sign Recognition in Indoor enviroments Using Fuzzy Inference
퍼지추론을 이용한 실내환경에서의 주행신호인식
Abstract
This paper presents a method of navigation sign recognition in indoor environments using a fuzzy inference for an autonomous mobile robot. In order to adapt to image deformation of a navigation sign resulted from variations of view-points and distances, a multi-labeled template matching(MLTM) method and a dynamic area search method(DASM) are proposed. The DASM is proposed to detect correct feature points among incorrect feature points. Finally sugeno-style fuzzy inference are adopted for recognizing the navigation sign.
Keywords
- Behavior based control architecture;
- Navigation Sign;
- Multi-labeled template;
- Dynamic search area;
- Fuzzy inference