Linear model based lane mark identification algorithm
Shi Xiao-feng · Jisuanji yingyong yanjiu · 2012
In order to meet the requirements of the real-time and robustness of lane mark identification algorithm,this paper proposed a lane mark identification algorithm.Turning the color image into grayscale,filtering out noise by median filter and extracting the lane mark edge by steerable filter were introduced firstly.To determine the initial direction angle of the filter,the image was divided into interest regions and the algorithm of edge distribution function(EDF) was used.Then,put forward the identification algorithm based on gradient weighted Hough transform.Finally,performed the real-time tracking of the lane mark by establishing trapezoid areas of interest,and verified the validity of the proposed method by experiments by using several videos.The results show that the combination of steerable filter and gradient weighted Hough transform simplifies the information characteristics of the lane mark estimation,which also greatly reduces the execution time and makes the robustness of the algorithm greatly improved.