现代电子技术2024，Vol.47Issue(7)：61-65,5.DOI:10.16652/j.issn.1004-373x.2024.07.010
基于传统边缘算子的车道线识别研究
Research on lane line recognition based on traditional edge operators
摘要
Abstract
Lane line recognition and detection technology is one of the key technologies for achieving autonomous driving of automobiles.Using low-level image feature extraction technology to achieve edge detection is one of the best methods for lane line recognition.Since the traditional lane line detection is prone to false detection and missed detection,and its detection efficiency is low,after the preprocessing of denoising and filtering,the obtained lane line images under the conditions of structured road are subjected to ROI(region of interest)extraction.On the basis of the traditional edge detection operator edge extraction method,it is found that Roberts and other operators have insufficient detail edge extraction in the detection results in case of considering environmental factors.By comparison,it is found that the Canny operator edge detection method improved by Hough transform can not only effectively improve the accuracy of the detection results,but also increase the running speed.This method can effectively avoid the large detection error of traditional edge detection methods,and has strong robustness and anti-interference.关键词
车道线检测/图像处理/Canny算子/边缘检测/ROI提取/Hough变换Key words
lane line detection/image processing/Canny operator/edge detection/ROI extraction/Hough transform分类
电子信息工程引用本文复制引用
李志远,王光辉..基于传统边缘算子的车道线识别研究[J].现代电子技术,2024,47(7):61-65,5.基金项目
湖北省教育厅科学研究计划指导性项目(B2022395) （B2022395）
汽车动力传动与电子控制湖北省重点实验室项目(ZDK1202102,ZDK12023B04) （ZDK1202102,ZDK12023B04）
