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http://dx.doi.org/10.3745/KTCCS.2013.2.10.427

A Moving Path Control of an Automatic Guided Vehicle Using Relative Distance Fingerprinting  

Hong, Youn Sik (인천대학교 컴퓨터공학부)
Kim, Da Jung (인천대학교 모바일컴퓨팅연구실)
Hong, Sang Hyun (인천대학교 모바일컴퓨팅연구실)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.2, no.10, 2013 , pp. 427-436 More about this Journal
Abstract
In this paper, a method of moving path control of an automatic guided vehicle in an indoor environment through recognition of marker images using vision sensors is presented. The existing AGV moving control system using infrared-ray sensors and landmarks have faced at two critical problems. Since there are many windows in a crematorium, they are going to let in too much sunlight in the main hall which is the moving area of AGVs. Sunlight affects the correct recognition of landmarks due to refraction and/or reflection of sunlight. The second one is that a crematorium has a narrow indoor environment compared to typical industrial fields. Particularly when an AVG changes its direction to enter the designated furnace the information provided by guided sensors cannot be utilized to estimate its location because the rotating space is too narrow to get them. To resolve the occurrences of such circumstances that cannot access sensing data in a WSN environment, a relative distance from marker to an AGV will be used as fingerprinting used for location estimation. Compared to the existing fingerprinting method which uses RSS, our proposed method may result in a higher reliable estimation of location. Our experimental results show that the proposed method proves the correctness and applicability. In addition, our proposed approach will be applied to the AGV system in the crematorium so that it can transport a dead body safely from the loading place to its rightful destination.
Keywords
Automatic Guided Vehicle; Indoor Position Tracking; Marker Recognition; Relative Distance Fingerprinting; Moving Path Control;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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