计算机与数字工程2019，Vol.47Issue(3)：678-681,4.DOI:10.3969/j.issn.1672-9722.2019.03.039
基于反透视变换的车道线检测算法
Lane Detection Algorithm Based on Inverse Perspective Mapping
刘萍 1孙耀航1
作者信息
- 1. 陆军军官学院计算中心 合肥 230031
- 折叠
摘要
Abstract
Based on the automatic driving needs when auto-drive cars are driving on the roads,this paper has invented a lane detection algorithm based on inverse perspective mapping. First,the image with optimum threshold value is processed,to gain the binary image and remove the noise. Then,the image is converted to overlook image by conducting inverse perspective mapping. Next,linear disturb is eliminated by K-means clustering algorithm. Last,the discrete parts of lanes are connected. The experiments show that this method is able to guide the auto-drive cars on the road.关键词
二值图像/最优阈值法/反透视变换/K-均值聚类算法/道路模型Key words
binary image/optimum threshold value/inverse perspective mapping/K-means clustering image/road models分类
信息技术与安全科学引用本文复制引用
刘萍,孙耀航..基于反透视变换的车道线检测算法[J].计算机与数字工程,2019,47(3):678-681,4.
