| 注册
首页|期刊导航|计算机应用与软件|面向无人驾驶的高速公路指路标志字符检测

面向无人驾驶的高速公路指路标志字符检测

徐家伟 张重阳

计算机应用与软件2018,Vol.35Issue(2):224-229,266,7.
计算机应用与软件2018,Vol.35Issue(2):224-229,266,7.DOI:10.3969/j.issn.1000-386x.2018.02.041

面向无人驾驶的高速公路指路标志字符检测

CHARACTER DETECTION OF HIGHWAY GUIDE SIGNS FOR UNMANNED DRIVING

徐家伟 1张重阳1

作者信息

  • 1. 南京理工大学计算机科学与工程学院 江苏南京210094
  • 折叠

摘要

Abstract

For the requirement of unmanned driving to obtain the visual information of expressway road in real time,a method for detecting the character of expressway sign was proposed.By using the color and the geometric features, the method obtained the highway guide sign plate and detected the character with the sign board.The steps of detecting characters were as follows.First, the binary image was obtained by the binarization method.The inclined sign was corrected by the correction method and the binary image was filtered.Secondly, the character block was obtained by using the multi-level projection strategy for the binary image,and the associated character blocks were merged according to the layout to get the character area.Finally, the HOG feature of the character area was extracted, and the pseudo target character area was removed by the support vector machine.The results of experiment indicated that recall rate of character detection exceeded 97%,and precision rate was more than 96%.

关键词

无人驾驶/高速公路指路标志/多级投影/HOG特征/支持向量机

Key words

Unmanned driving/Highway guide signs/Multi-level projection/HOG feature/Support vector ma-chines

分类

信息技术与安全科学

引用本文复制引用

徐家伟,张重阳..面向无人驾驶的高速公路指路标志字符检测[J].计算机应用与软件,2018,35(2):224-229,266,7.

基金项目

核高基国家重点专项(2015ZX01041101). (2015ZX01041101)

计算机应用与软件

OA北大核心CSTPCD

1000-386X

访问量0
|
下载量0
段落导航相关论文