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임희철,Andrey Vavilin,조강현 제어로봇시스템학회 2008 제어로봇시스템학회 국내학술대회 논문집 Vol.2008 No.10
Road sign recognition (RSR) is one of the most important topics of using computer vision and pattern recognition in intelligent transportation systems. The road sign (RS) includes direction of road, place name, intersection and road number for understanding information of roads. In order to recognize a road sign efficiently, the location of the RS in most cases, must be detected in the initial step. In this paper an efficient method of RSR algorithm is proposed. In this method, 1) the road sign region is extracted by using color and shape, 2) characters of the road sign are segmented by using vertical and horizontal histograms, and 3) each character is recognized by using sum of absolute difference (SAD). In the proposed RSR method, by using color and geometrical properties, we detect candidates of road sign. Input images are obtained from mounted camera in vehicle. Candidate of road sign information segment by using position histogram for verifying candidate road sign. The RSR algorithm calculates SAD value using normalization of road sign and character size. The proposed method is very effective in complex environment.
임희철,장정수 朝鮮大學校 建設技術硏究所 1999 建設技術硏究 Vol.19 No.2
The objective of this publication is to present the state-of-art in inelastic dynamic and static approaches to the analysis and design of structures subjected to earthquakes. This emphasizes that the response of building structures in actual intense earthquakes in inelastic, and that such response can be realistically estimated only though inelastic dynamic analysis. Much of the discussion is focused on the controlled utilization of inelastic response in earthquake-resistant design of concrete structures.