DocumentCode
2977830
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
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
125
Lastpage
127
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Active Media Technology and Information Processing (ICWAMTIP), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1684-2
Type
conf
DOI
10.1109/ICWAMTIP.2012.6413455
Filename
6413455
Link To Document