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http://dx.doi.org/10.7471/ikeee.2012.16.4.349

Efficient Real-time Lane Detection Algorithm Using V-ROI  

Dajun, Ding (Dept. of Electronic Engineering, Soongsil University)
Lee, Chanho (School of Electronic Engineering, Soongsil University)
Publication Information
Journal of IKEEE / v.16, no.4, 2012 , pp. 349-355 More about this Journal
Abstract
Information technology improves convenience, safety, and performance of automobiles. Recently, a lot of algorithms are studied to provide safety and environment information for driving, and lane detection algorithm is one of them. In this paper, we propose a lane detection algorithm that reduces the amount of calculation by reducing region of interest (ROI) after preprocessing. The proposed algorithm reduces the area of ROI a lot by determining the candidate regions near lane boundaries as V-ROI so that the amount of calculation is reduced. In addition, the amount of calculation can be maintained almost the same regardless of the resolutions of the input images by compressing the images since the lane detection algorithm does not require high resolution. The proposed algorithm is implemented using C++ and OpenCV library and is verified to work at 30 fps for realtime operation.
Keywords
pattern recognition; ROI; smart car; OpenCV; lane detection;
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