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Optical Flow를 이용한 측후방 차량인식 시스템 개발
성준용(Junyong Sung),이경복(Kuengbok Lee),한민홍(Minhong Han) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
We have developed rear-side vehicle recognition system using Optical Flow Algorithm. This system detect rapidly approaching vehicle at side lane. This vehicle recognition method understand vehicle region if Optical Flow is x-axis increasing direction at left back screen or x-axis decreasing direction at right back screen. we look for centroid axis at vehicle region. This system tell driver danger if rear side vehicle penetrate within established dangerous region. The experiments show that rear-side vehicle recognition using Optical Flow can be utilized as a device which assists safety driving by detecting rear side vehicle under warning the driver of dangerous situation during lane change.
안수진(Soojin An),이경복(Kuengbok Lee),한민홍(Minhong Han) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, we propose lane detection using Clustering as powerful algorithm. The process of land detection algorithm using Clustering that we are proposed has six steps bigly. first, divide the picture into right part and left part after the image imformations were received by camera then dedect each edge pixel through Sobel algorithm. second, make the clusters Using distance of pixel coordinates for removing noise. third, to eliminate noise, limited the cluster height. there again, formulate a straight line equation about all clusters. forth, find out every width between right side of clusters' pixel value and left side of cluster's pixel value after determine up-pixel value and low-pixel value on every cluster at last, according to difference virtual width between actual lane'width, judge true or false. we tested this algorithm various image such as the inside road and the northern river side road in Seoul. The percentage of correct lane detection is over 98%.