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http://dx.doi.org/10.7467/KSAE.2013.21.1.051

A Study on Image Processing Algorithms for Improving Lane Detectability at Night Based on Camera  

Kim, Heungryong (Advanced Development Team, SL Corporation)
Lee, Seonbong (Department of Mechanical & Automotive Engineering, Keimyung University)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.21, no.1, 2013 , pp. 51-60 More about this Journal
Abstract
In this paper, to control the existing headlamp control system using steering wheel angle more efficiently and more actively, image processing algorithm which improved the detection rate of lane at night based on camera was suggested. And to recognize road lane more clearly in the conditions of low illumination, new algorithms were developed in the aspects of improving brightness, extracting clear lane edge and using the characteristics of lane. Through this research, it turned out that lane detection ability by using the normalized stretching, angular mask and expected-area scan have good performance in the night compare to existing algorithms.
Keywords
Image processing algorithm; Lane detection; Mask; Histogram stretching;
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