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http://dx.doi.org/10.5391/JKIIS.2011.21.3.383

Accuracy Improvement of Laser Navigation System using FIS and Reliability  

Jung, Eun-Kook (부산대학교 로봇협동과정)
Kim, Jung-Min (부산대학교 전자전기공학과)
Jung, Kyung-Hoon (부산대학교 로봇협동과정)
Kim, Sung-Shin (부산대학교 전자전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.3, 2011 , pp. 383-388 More about this Journal
Abstract
This paper presents to study the accuracy improvement of the laser navigation using FIS(fuzzy inference system) and the reliability. As wireless guidance system, the top-mounted laser with the laser navigation can rotate $360^{\circ}$ with phototransistor or other optical sensors that read the return signal from reflectors mounted at the perimeter of the workspace. The type of major existing guidance systems is a wire guidance system. Because they have high accuracy and fast response time, they are used to most industries. However, their installation cost is very expensive and maintenance is very difficult because their sensors are placed approximately 1 inch below the ground or embedded in the floor. To solve those problems, the laser navigation was developed as a wire guidance system. It does not need to reconstruct a floor or ground. And it can reduce costs of installation and maintenance because changing the layout is easy. However, it is difficult to apply to an industrial field because it is easily affected by disturbances which cause loss and damage of data, and has slow respond time. Therefore, we study the accuracy improvement of the laser navigation. The proposed method is a correction method using reliability of the laser navigation. here, reliability is calculated by FIS which is designed with the analyzed characteristics of the laser navigation. For performance comparison, we use original position data form the laser navigation and position data corrected by original reliability from the laser navigation. In experimental result, we verified that the performance of the proposed method compared the others is improved by about 50% or more.
Keywords
fuzzy inference system; reliability; laser navigation; localization; guidance system;
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