基于改进概率霍夫变换算法的车道检测方法研究  

Research of Lane Detection Based on Progressive Probabilistic Hough Transform

作　　者：戴渊明[1] 张翔[1] 王再富[2] 

机构地区：[1]杭州电子科技大学计算机应用技术研究所,浙江杭州310018 [2]杭州电子科技大学科技处,浙江杭州310018

出　　处：《杭州电子科技大学学报（自然科学版）》2006年第5期91-95,共5页Journal of Hangzhou Dianzi University：Natural Sciences

基　　金：浙江省科技厅重点科研国际合作项目(2006C24002)

摘　　要：为了提高车道检测的实时性,提出了一种基于改进的概率霍夫变换算法的车道检测方法。改进的概率霍夫变换算法的特点是用设定累加器阈值的方法减少了检测直线的运算量,通过随机取点映射到参数空间使最长直线被最早检测到的概率最大,比现有车道检测方法中普遍采用的标准霍夫变换算法更具实时性。实际路面图像的对比处理结果证明了该检测方法的实时性、精确性和鲁棒性。To improve the real - time ability of lane detection, this paper presents a lane detection method based on progressive probability Hough transform. The progressive probability Hough transform sets an accumulator threshold to reduce the calculation quantity of line exaction, selects edge - point randomly so that the most obvious line would be detected first usually. It has better real- time ability than standard Hough transform, which is used commonly in existing lane detection methods. The experiment results of lane detection from images of real road scenes show the accuracy, robustness and real - time ability of the proposed method.

关 键 词：车道检测 霍夫变换 实时 

分 类 号：TN391.41[电子电信—物理电子学]