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http://dx.doi.org/10.9717/kmms.2012.15.11.1319

A Vision Based Guideline Interpretation Technique for AGV Navigation  

Byun, Sungmin (부산대학교 컴퓨터공학과)
Kim, Minhwan (부산대학교 컴퓨터공학과)
Publication Information
Abstract
AGVs are more and more utilized nowadays and magnetic guided AGVs are most widely used because their system has low cost and high speed. But this type of AGVs requires high infrastructure building cost and has poor flexibility of navigation path layout changing. Thus it is hard to applying this type of AGVs to a small quantity batch production system or a cooperative production system with many AGVs. In this paper, we propose a vision based guideline interpretation technique that uses the cheap, easily installable and changeable color tapes (or paint) as a guideline. So a vision-based AGV with color tapes is effectively applicable to the production systems. For easy setting and changing of AGV navigation path, we suggest an automatic method for interpreting a complex guideline layout including multi-branches and joins of branches. We also suggest a trace direction decision method for stable navigation of AGVs. Through several real-time navigation tests with an industrial AGV installed with the suggested technique, we confirmed that the technique is practically and stably applicable to real industrial field.
Keywords
Automated Guided Vehicle; Magnetic Guideline; Guideline Tracing AGV; Guideline Structure Analysis; Vision Based AGV Navigation System;
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Times Cited By KSCI : 1  (Citation Analysis)
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