计算机科学与探索2012，Vol.6Issue(10)：919-926,8.DOI:10.3778/j.issn.1673-9418.2012.10.007
缩微交通环境下的车道标识线检测
Lane Detection in Micro-Traffic Environment
摘要
Abstract
In order to realize the lane detection in a micro-traffic environment, this paper proposes a lane detection method based on mathematical morphology and probabilistic Hough transform. Firstly, the road images are preprocessed with a grayscale dilation and erosion operation to filter light. Then, an adaptive threshold binarization algorithm is used to extract the lines from the gray images. Finally, a probabilistic Hough transform is employed to detect lanes. The experimental results show that the proposed method can detect the lane accurately and has good robustness.关键词
缩微智能车/车道标识线检测/数学形态学/二值化/概率霍夫变换Key words
miniature intelligent vehicle/ lane detection/ mathematical morphology/ binarization/ probabilistic Hough transform分类
信息技术与安全科学引用本文复制引用
储卫东,王国胤,王进..缩微交通环境下的车道标识线检测[J].计算机科学与探索,2012,6(10):919-926,8.基金项目
The National Natural Science Foundation of China under Grant No.61073146(国家自然科学基金). （国家自然科学基金）
