摘要
道路检测是汽车智能辅助驾驶系统中的一个子系统 ,包括道路分割和弯道识别等子任务。对摄像机摄录的图像进行处理 ,分割提取出分道线 ,再根据分道线的走向识别出车道的转向 (左弯、右弯 ) ,这对报告道路的转向以及粗略定位前方车辆有很重要的意义。考虑到系统的实时性要求 ,算法必须具有很低的时间复杂度。通过大量的现场实验 ,提出了一种有效的基于区域生长和曲线拟合的弯道识别算法 。
Road detection is a sub-system of vehicle intelligent auxiliary drive system, which includes such sub-projects as road segmentation and road recognition. The image from CCD camera is processed, and road line is abstracted from it through image process. Then the direction of the road, such as left or right, can be identified according to the road line. Because of the special requirement, i.e. the rigid real-time requirement, the algorithm adopted must have the very low time cost. Through many experiments, a kind of recognition algorithm is proposed based on region-growing process and curve fitting, which was verified to have good effect.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第7期24-27,共4页
Journal of Chongqing University
基金
国家自然科学基金资助项目 (696740 12 )
关键词
智能驾驶
计算机视觉
图像分割
道路识别
intelligent drive
computer vision
image segmentation
road recognition
