交通标志识别综述  

Overview of traffic sign recognition

作　　者：王晓云[1] 夏杰 刘凤丽[1] 郭金玉 WANG Xiaoyun;XIA Jie;LIU Fengi;GUO Jinyu(Shenyang University of Technology,School of Mechanical Engineering,Shenyang 110159,China;Shenyang University of Chemical Technology,School of Information Engineering,Shenyang 110142,China)

机构地区：[1]沈阳理工大学机械工程学院,辽宁沈阳110159 [2]沈阳化工大学信息工程学院,辽宁沈阳110142

出　　处：《长江信息通信》2023年第8期76-78,共3页Changjiang Information & Communications

基　　金：国家级重点实验室基金一般项目(2021JCJQLB055009);辽宁省教育厅科学研究经费项目(LJ2019007)。

摘　　要：准确且快速的交通标志识别系统是无人驾驶邻域所亟需解决的问题。而交通标志识别的过程主要为对交通标志的预处理以及检测识别。文章首先对交通标志预处理的重要性以及近年来预处理方法进行阐述,之后对交通标志检测和识别方法进行了综述,重点介绍了基于特征提取和深度学习的交通标志识别方法。最后对交通标志识别技术在现实应用中的不足做出总结。Accurate and fast traffic sign recognition system is a pressing problem for the unmanned neighborhood.The process of traffic sign recognition is mainly the pre-processing and detection of traffic signs.The article first explains the importance of traffic sign preprocessing and recent preprocessing methods,and then reviews traffic sign detection and recognition methods,focusing on traffic sign recognition methods based on feature extraction and deep learning.Finally,a summary of the shortcom-ings of traffic sign recognition technology in real-life applications is made.

关 键 词：交通标志识别系统 预处理 特征提取 深度学习 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U463.6[自动化与计算机技术—计算机科学与技术]