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박영수(Youngsu Park),박지훈(Jeehoon Park),이제원(Je-won Lee),김상우(Sang Woo Kim) 제어로봇시스템학회 2009 제어·로봇·시스템학회 논문지 Vol.15 No.5
This paper proposes an efficient method to locate the automated guided vehicle (AGY) into a specific parking position using artificial visual landmark and vision-based algorithm. The landmark has comer features and a HSI color arrangement for robustness against illuminant variation. The landmark is attached to left of a parking spot under a crane. For parking, an AGV detects the landmark with CCD camera fixed to the AGV using Harris comer detector and matching descriptors of the comer features. After detecting the landmark, the AGV tracks the landmark using pyramidal Lucas-Kanade feature tracker and a refinement process. Then, the AGV decreases its speed and aligns its longitudinal position with the center of the landmark. The experiments showed the AGV parked accurately at the parking spot with small standard deviation of error under bright illumination and dark illumination.
슬라브 제품 정보 인식을 위한 문자 분리 및 문자 인식 알고리즘 개발
최성후(SungHoo Choi),윤종필(Jong Pil Yun),박영수(YoungSu Park),박지훈(JeeHoon Park),구근휘(KeunHwi Koo),김상우(Sang Woo Kim) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.4
This paper describes about the printed character segmentation and recognition system for slabs in steel manufacturing process. To increase the recognition rate, it is important to improve success rate of character segmentation. Since Slabs' front area surface are not uniform and surface temperature is very high, marked characters not only undergo damages but also have much noise. On the other hand, since almost marked characters are very thick and the space between characters is only about 10 ~ 15 ㎜, there are many touching characters. Therefore appropriate character image preprocessing and segmentation algorithm is needed. In this paper we propose a multi-local thresholding method for damaged character restoration, a modified touching character segmentation algorithm for marked characters. Finally a effective Multi-Class SVM is used to recognize segmented characters.