一种移动车辆遮挡下的车道线检测方法

针对存在移动车辆遮挡等强干扰的情况,提出了一种基于轮廓筛选的车道线检测方法.首先基于轮廓角度和像素数目滤除非车道轮廓进而实现特征点粗提取,然后提取像素点的位置信息,通过设计一种基于相对距离与梯度的自适应双阈值筛选法进行车道线特征点的精提取,进而拟合车道线.实验结果表明,该算法具有较强的抗遮挡能力,且满足实时性要求.

Lane line detection algorithm under moving vehicle occlusion

A lane line detection algorithm based on contour filtering is proposed for strong interference such as mobile vehicle occlusion. Firstly, the non Lane contour is filtered based on the contour angle and the number of pixels, and then an adaptive double threshold filtering method based on relative distance and gradient is designed to extract the feature points of lane line, and then the lane line is fitted. Experimental results show that the algorithm has strong anti occlusion ability and meets the real-time requirements.