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A real-time lane detection algorithm based on intelligent CCD parameters regulation

机译:基于智能CCD参数调节的实时车道检测算法

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摘要

Lane departure warning system (LDWS) has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method based on intelligent CCD parameters regulation. In order to improve the real-time capability of the system, a CCD parameters regulating method is proposed which enhances the contrast between lane line and road surfaces and reduces image noise, so it lays a good foundation for the following lane detection. Hough transform algorithm is improved by selection and classification of seed points. Finally the lane line is extracted through some restrictions. Experimental results verify the effectiveness of the proposed method, which improves not only real-time capability but also the accuracy of the system.
机译:车道偏离警告系统(LDWS)被认为是减轻驾驶员疲劳或注意力不集中造成的道路交通事故损害的有效方法。车道检测是LDWS的关键技术之一。为了克服算法复杂性与车辆车载系统实时性要求之间的矛盾,提出了一种基于智能CCD参数调节的车道检测新方法。为了提高系统的实时性,提出了一种CCD参数调节方法,可以提高车道线与路面的对比度,降低图像噪声,为后续车道检测奠定了良好的基础。通过对种子点的选择和分类改进了Hough变换算法。最后,通过一些限制提取车道线。实验结果证明了该方法的有效性,不仅提高了实时性,而且提高了系统的准确性。

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