[1]汤智超,苏琳,何超,等. 导盲机器人的交通标志视觉识别技术研究[J].计算机技术与发展,2014,24(09):23-27.
　TANG Zhi-chao,SU Lin,HEChao,et al. Research on Traffic Sign Visual Recognition Technology of Guiding Robot[J].,2014,24(09):23-27.
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 导盲机器人的交通标志视觉识别技术研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年09期
页码:
23-27
栏目:
智能、算法、系统工程
出版日期:
2014-09-10

文章信息/Info

Title:
 Research on Traffic Sign Visual Recognition Technology of Guiding Robot
文章编号:
1673-629X（2014）09-0023-05
作者:
 汤智超; 苏琳; 何超; 胡仁杰
 东南大学 电气工程学院
Author(s):
 TANG Zhi-chao; SU Lin; HEChao; HU Ren-jie
关键词:
 ; Matlab; 交通标志识别; 道路指引; 图像处理
Keywords:
 ; Matlab; traffic sign recognition; road guide; image processing
分类号:
TP39
文献标志码:
A
摘要:
 导盲机器人是当今研究热点问题之一，交通标志识别技术是导盲机器人中的重要技术环节。无法在复杂交通情况下高精度识别交通标志是阻碍导盲机器人投入使用的最大难题。在分析研究了已有交通标志识别技术的基础上，通过Matlab中的图像处理函数，创新性地在两个色度空间同时对图像进行填充与分割、膨胀与腐蚀、k-means聚类等一系列操作处理，辅以长宽比、面积限制、平行等几何条件的限定，准确识别了红绿灯、盲道以及人行道等交通标志。
Abstract:
 The research of guiding robot is one of the hottest topics today,and traffic sign recognition is an important technology in the de-sign of guiding robot. The prime difficulty to hinder the guiding robots putting into use is failed to recognize the traffic sign accurately un-der the complicated traffic circumstances. Based on researching and analyzing the previous traffic sign recognition technologies,through image processing functions in Matlab,creatively using two kinds of color space and executing operations such as image filling and seg-mentation,expansion and corrosion,k-means cluster and so on,combined with the limit of geometric condition such as length-width ratio and area limitation,realize the recognition of the traffic lights,the blind sides,the zebra cross.

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更新日期/Last Update: 2015-04-01