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http://dx.doi.org/10.9723/jksiis.2018.23.1.013

Implementation of Pattern Recognition Algorithm Using Line Scan Camera for Recognition of Path and Location of AGV  

Kim, Soo Hyun (대구대학교 대학원 정보통신공학과)
Lee, Hyung Gyu (대구대학교 정보통신공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.23, no.1, 2018 , pp. 13-21 More about this Journal
Abstract
AGVS (Automated Guided Vehicle System) is a core technology of logistics automation which automatically moves specific objects or goods within a certain work space. Conventional AGVS generally requires the in-door localization system and each AGV equips expensive sensors such as laser, magnetic, inertial sensors for the route recognition and automatic navigation. thus the high installation cost is inevitable and there are many restrictions on route(path) modification or expansion. To address this issue, in this paper, we propose a cost-effective and scalable AGV based on a light-weight pattern recognition technique. The proposed pattern recognition technology not only enables autonomous driving by recognizing the route(path), but also provides a technique for figuring out the loc ation of AGV itself by recognizing the simple patterns(bar-code like) installed on the route. This significantly reduces the cost of implementing AGVS as well as benefiting from route modification and expansion. In order to verify the effectiveness of the proposed technique, we first implement a pattern recognition algorithm on a light-weight MCU(Micro Control Unit), and then verify the results by implementing an MCU_controlled AGV prototype.
Keywords
AGVS; Pattern Recognition; Line Scan Camera; Recognition of the Location;
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Times Cited By KSCI : 4  (Citation Analysis)
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