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Lane Detection Algorithm using Morphology and Color Information  

Bae, Chan-Su (University of Ulsan, School of Electrical Eng.)
Lee, Jong-Hwa (University of Ulsan, School of Electrical Eng.)
Cho, Sang-Bock (University of Ulsan, School of Electrical Eng.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SD / v.48, no.6, 2011 , pp. 15-24 More about this Journal
Abstract
As increase awareness of intelligent vehicle systems, many kinds of lane detection algorithm have been proposed. General boundary extraction method can bring good result in detection of lane on the road. But a shadow on the road, or other boundaries, such as horizontal lines can be detected. The method using morphological operations was used to extract information about Lane. By applying HSV color model for color information of lane, the candidate of the lane can be extracted. In this paper, the lane detection region was set by Hough transformation using the candidate of the lane. By extracting lane markings on the lane detection region, lane detection method can bring good result.
Keywords
Lane Detection; Morphology; HSV Color Model; Tracking Lanes; Hough Transform;
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