交通标志的检测与识别研究综述

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摘要车辆的增多造成了交通事故的多发,智能技术有利于解决这一问题,交通标志牌识别系统应运而生。TSR通过对道路上的交通标志牌准确检测和识别,有效提示驾驶员规范和安全行驶,减少交通事故的发生。本文归纳总结近几年学者们的研究成果,利用交通标志牌的特征和有效的方法对其进行高效检测和识别,提高检测和识别的实时性和准确性。

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	孙颖
	葛平淑
	刘德全

关键词 ：交通标志检测, 交通标志识别, 深度学习

Abstract：Nowadays, the number of vehicles is increasing gradually, which aggravates the occurrence of traffic accidents. At the same time, Traffic Sign Recognition (TSR) system came into our lives. TSR can prompt and instruct the drivers to drive in a standard and safe way through accurate detection and recognition of traffic signs on the road, reducing the occurrence of traffic accidents. In this paper, the research results of scholars are summarized and analyzed in detail. How to use the characteristics of traffic signs and effective methods to detect and identify them efficiently can improve the timeliness and accuracy of detecting and identifying traffic signs.

Key words： traffic sign detection traffic sign recognition deep learning

收稿日期: 2019-05-05

PACS:

TP391.4

基金资助:国家自然科学基金项目(51975089,51575079);中国博士后科学基金项目(2018M641688)。

通讯作者: 葛平淑(1983-),女,山东五莲人,讲师,博士,主要从事智能车辆控制、汽车安全辅助驾驶技术研究,E-mail:gps@dlnu.edu.cn。

作者简介: 孙颖(1992－),女,辽宁丹东人,大连民族大学机电工程学院硕士研究生,主要从事智能交通系统、交通标志检测与识别研究。

引用本文:

孙颖,葛平淑,刘德全. 交通标志的检测与识别研究综述[J]. 大连民族大学学报, 2019, 21(5): 412-417. SUN Ying, GE Ping-shu, LIU De-quan. A Review on Traffic Sign Detection and Recognition. Journal of Dalian Nationalities University, 2019, 21(5): 412-417.

链接本文:

http://xb.dlnu.edu.cn/CN/ 或 http://xb.dlnu.edu.cn/CN/Y2019/V21/I5/412

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