[1]李军,钟鹏.OpenCV的车道线检测方法[J].华侨大学学报(自然科学版),2021,42(4):421-424.[doi:10.11830/ISSN.1000-5013.202009036]
　LI Jun,ZHONG Peng.Lane Line Detection Method Based on OpenCV[J].Journal of Huaqiao University(Natural Science),2021,42(4):421-424.[doi:10.11830/ISSN.1000-5013.202009036]
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OpenCV的车道线检测方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第42卷
期数:
2021年第4期
页码:
421-424
栏目:
出版日期:
2021-07-20

文章信息/Info

Title:
Lane Line Detection Method Based on OpenCV
文章编号:
1000-5013(2021)04-0421-04
作者:
李军;  钟鹏
重庆交通大学 机电与车辆工程学院, 重庆 400074
Author(s):
LI Jun;  ZHONG Peng
School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China
关键词:
车道线检测;  Canny边缘检测;  渐进概率Hough变换;  双边滤波
Keywords:
lane line detection;  Canny edge detection;  progressive probability Hough transform;  bilateral filtering
分类号:
U491.5;TP391.41
DOI:
10.11830/ISSN.1000-5013.202009036
文献标志码:
A
摘要:
基于开源计算机视觉库(OpenCV),提出一种轻量级的车道线检测方法.首先,对输入的原始图像进行灰度化处理,紧接着使用双边滤波滤除噪声,大幅度保留原始图像的边缘信息;然后,用Canny边缘检测提取图像边缘;最后,使用速度更快的渐进概率Hough变换(PPHT)识别车道线.仿真结果表明:预期检测车道线的效果较好.
Abstract:
Based on the open source computer vision library(OpenCV), a lightweight lane line detection method was proposed. First, the input original image was grayed, and next the noise was filtered out with bilateral filtering to greatly preserve the edge information of the original image. Then,the method of Canny edge detection was used to extract the edge of the image. Finally, a faster progressive probability Hough transform(PPHT)was adopted to recognize lane lines. The simulation results show that the effect of expected lane detection is better.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2020-09-18
通信作者: 李军(1964-),男,教授,博士,主要从事发动机排放与控制、新能源汽车和智能车辆控制的研究.E-mail:cqleejun@163.com.
基金项目: 重庆市重点实验室资助项目(CSTC2015yfpt-zdsys30001)
更新日期/Last Update: 2021-07-20