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Adaptive Traffic Light Detection using Color Spaces

by Aradhana Verma, C.S. Yadav, Pradeep Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Number 4
Year of Publication: 2017
Authors: Aradhana Verma, C.S. Yadav, Pradeep Kumar
10.5120/ijca2017915291

Aradhana Verma, C.S. Yadav, Pradeep Kumar . Adaptive Traffic Light Detection using Color Spaces. International Journal of Computer Applications. 173, 4 ( Sep 2017), 33-34. DOI=10.5120/ijca2017915291

@article{ 10.5120/ijca2017915291,
author = { Aradhana Verma, C.S. Yadav, Pradeep Kumar },
title = { Adaptive Traffic Light Detection using Color Spaces },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 173 },
number = { 4 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 33-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume173/number4/28326-2017915291/ },
doi = { 10.5120/ijca2017915291 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:23.316951+05:30
%A Aradhana Verma
%A C.S. Yadav
%A Pradeep Kumar
%T Adaptive Traffic Light Detection using Color Spaces
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 4
%P 33-34
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a color space based algorithm for traffic signal light detection for the modules used in Advanced Driver Assistance Systems (ADAS). The autonomous vehicle has been a topic for the discussions among the computer science engineers for several years. Traffic Signal Light Detection algorithm is based on color space theory which efficiently detects the color of traffic light during day time as well as night time i.e. weather invariant..

References
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Index Terms

Computer Science
Information Sciences

Keywords

ADAS Autonomous Vehicle Theory TSLD Color Space

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