user

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
收藏
页码：995 / 998
页数：4
相关论文
共 50 条
  • [1] A SURVEY OF TRAFFIC SIGN RECOGNITION
    Fu, Meng-Yin
    Huang, Yuan-Shui
    [J]. PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, : 119 - 124
  • [2] Traffic Sign Recognition: A Survey
    Sanyal, Banhi
    Mohapatra, Ramesh Kumar
    Dash, Ratnakar
    [J]. 2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), 2020,
  • [3] Traffic Sign Detection and Recognition for Intelligent Transportation Systems: A Survey
    Luo, Shuanghu
    Yu, Ling
    Bi, Zhongqin
    Li, Yongbin
    [J]. JOURNAL OF INTERNET TECHNOLOGY, 2020, 21 (06): : 1773 - 1784
  • [4] A Survey of the Inadequacies in Traffic Sign Recognition Systems for Autonomous Vehicles
    Magnussen, Angelica F.
    Le, Nathan
    Hu, Linghuan
    Wong, W. Eric
    [J]. Wong, w. Eric (ewong@utdallas.edu), 1600, Totem Publishers Ltd (16): : 1588 - 1597
  • [5] A Survey of Traffic Sign Recognition Systems Based on Convolutional Neural Networks
    Hussain, Syed
    Abualkibash, Munther
    Tout, Samir
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 570 - 573
  • [6] Computer Vision Model for Traffic Sign Recognition and Detection-A Survey
    Sindhu, O. S. S. V.
    Paul, P. Victer
    [J]. ICCCE 2018, 2019, 500 : 679 - 689
  • [7] A Comprehensive Survey and Analysis of Traffic Sign Recognition Systems with Hardware Implementation
    Triki, Nesrine
    Karray, Mohamed
    Ksantini, Mohamed
    [J]. IEEE Access, 2024, 12 : 144069 - 144081
  • [8] Rectangular traffic sign recognition
    Ballerini, R
    Cinque, L
    Lombardi, L
    Marmo, R
    [J]. IMAGE ANALYSIS AND PROCESSING - ICIAP 2005, PROCEEDINGS, 2005, 3617 : 1101 - 1108
  • [9] Towards Reliable Traffic Sign Recognition
    Hoeferlin, Benjamin
    Zimmermann, Klaus
    [J]. 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 324 - 329
  • [10] Traffic Sign Recognition by Fuzzy Sets
    Fleyeh, Hasan
    [J]. 2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2008, : 283 - 288
12345