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Efficient Lane Detection Using Histogram Based Segmentation  

남기환 (관동대학교)
배철수 (관동대학교)
Abstract
A vision system for Intelligent vehicles here. The system exploits the characteristics of the gray level histogram of the road to detect lane markers. Each lane maker is then analyzed using a decision tree, and finally the relations between lane markers are analyzed to create structures defining the lane boundaries. The resulting system also generates images that can be used ae preprocessing stages in lane detection, lane tracking or obstacle detection algorithm. The system runs in realtime ay rates of about 30Hz.
Keywords
차선검출;영상인식;히스토그램;결정트리;
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  • Reference
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