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A Comparative Analysis of Lane Detection Techniques

by Amandeep Kaur, Tanupreet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 3
Year of Publication: 2015
Authors: Amandeep Kaur, Tanupreet Singh
10.5120/19645-1232

Amandeep Kaur, Tanupreet Singh . A Comparative Analysis of Lane Detection Techniques. International Journal of Computer Applications. 112, 3 ( February 2015), 16-19. DOI=10.5120/19645-1232

@article{ 10.5120/19645-1232,
author = { Amandeep Kaur, Tanupreet Singh },
title = { A Comparative Analysis of Lane Detection Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 3 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number3/19645-1232/ },
doi = { 10.5120/19645-1232 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:27.266584+05:30
%A Amandeep Kaur
%A Tanupreet Singh
%T A Comparative Analysis of Lane Detection Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 3
%P 16-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper comparison is drawn between the existing and proposed techniques of lane detection. Lane detection techniques are proved to be helpful in avoiding accidents on highways. The proposed system has a goal to detect the lane marks even in the presence of high level of noise in the input image. The proposed technique has proved itself as more efficient than that of existing technique.

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Index Terms

Computer Science
Information Sciences

Keywords

Lane detection Vanet.

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