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Robust Lane Detection Method in Varying Road Conditions  

Kim, Byeoung-Su (Dept. of Electronics Computer Engineering, Hanyang University)
Kim, Whoi-Yul (Dept. of Electronics Computer Engineering, Hanyang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.49, no.1, 2012 , pp. 88-93 More about this Journal
Abstract
Lane detection methods using camera, which are part of the driver assistance system, have been developed due to the growth of the vehicle technologies. However, lane detection methods are often failed by varying road conditions such as rainy weather and degraded lanes. This paper proposes a method for lane detection which is robust in varying road condition. Lane candidates are extracted by intensity comparison and lane detection filter. Hough transform is applied to compute the lane pair using lane candidates which is straight line in image. Then, a curved lane is calculated by using B-Snake algorithm. Also, weighting value is computed using previous lane detection result to detect the lanes even in varying road conditions such as degraded/missed lanes. Experimental results proved that the proposed method can detect the lane even in challenging road conditions because of weighting process.
Keywords
Lane detection; intelligent vehicle; machine vision;
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