Title :
Lane detection based on hough transform and endpoints classification
Author :
He Mao ; Mei Xie
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Road boundary recognition is one of the key technologies of intelligent vehicle based on machine vision and lane lines can be used in road boundary identification. This paper proposes a lane line enhancement method based on the Gaussian distribution. After Hough transform, a method to classify the endpoints that belong to different lane lines and a way to show the lane lines are provided. The experiments results show that the method is effective and reliable.
Keywords :
Gaussian distribution; Hough transforms; automated highways; computer vision; edge detection; image classification; image enhancement; Gaussian distribution; Hough transform; endpoints classification; intelligent vehicle; lane detection; lane line enhancement method; lane lines; machine vision; road boundary identification; road boundary recognition; Abstracts; Helium; Transforms; Endpoints Classification; Gaussian Distribution; Hough Transform; Lane Detection; Linear Fitting;
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1684-2
DOI :
10.1109/ICWAMTIP.2012.6413455
