Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

A Survey of Traffic Sign Recognition

Authors
Ling Zhong, Yajie Yu, Zhijia Zhang
Corresponding Author
Ling Zhong
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.196How to use a DOI?
Keywords
Traffic sign recognition; Intelligent transportation systems; Traffic signs; SVM; Neural Networks
Abstract

As the main component of intelligent transportation systems, Traffic sign recognition system has been extensively studied in intelligent vehicles, military and unmanned vehicles and other projects. In this paper, firstly, it briefly introduced the traffic sign recognition research status and development background, and then according to different recognition review,it mainstreamd traffic sign recognition method, through comparative analysis of various methods,it summarized the in traffic sign recognition, and prospected the future direction of development.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/lemcs-15.2015.196
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.196How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ling Zhong
AU  - Yajie Yu
AU  - Zhijia Zhang
PY  - 2015/07
DA  - 2015/07
TI  - A Survey of Traffic Sign Recognition
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 995
EP  - 998
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.196
DO  - 10.2991/lemcs-15.2015.196
ID  - Zhong2015/07
ER  -