A Survey of Traffic Sign Recognition

被引：0

作者：

Zhong, Ling ^{[1
]}

Zhang, Zhijia ^{[1
]}

Yu, Yajie ^{[2
]}

机构：

[1] ShenYang Univ Technol, Sch Software, Shenyang, Liaoning, Peoples R China

[2] ShenYang Univ Technol, Sch Informat Sci & Engn, Shenyang, Liaoning, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) | 2015年 / 117卷

关键词：

Traffic sign recognition; intelligent transportation systems; traffic signs; SVM; Neural Networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：995 / 998

页数：4

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