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http://dx.doi.org/10.5573/ieie.2014.51.1.116

An Adaptive Road ROI Determination Algorithm for Lane Detection  

Lee, Chanho (School of Electronic Engr., Soongsil University)
Ding, Dajun (School of Electronic Engr., Soongsil University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.1, 2014 , pp. 116-125 More about this Journal
Abstract
Road conditions can provide important information for driving safety in driving assistance systems. The input images usually include unnecessary information and they need to be analyzed only in a region of interest (ROI) to reduce the amount of computation. In this paper, a vision-based road ROI determination algorithm is proposed to detect the road region using the positional information of a vanishing point and line segments. The line segments are detected using Canny's edge detection and Hough transform. The vanishing point is traced by a Kalman filter to reduce the false detection due to noises. The road ROI can be determined automatically and adaptively in every frame after initialization. The proposed method is implemented using C++ and the OpenCV library, and the road ROIs are obtained from various video images of black boxes. The results show that the proposed algorithm is robust.
Keywords
ROI; vanishing point; Road detection; Lane detection; Kalman filter;
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Times Cited By KSCI : 1  (Citation Analysis)
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