Detection of the road snow coverage status based on naive Bayesian classifier - 文章详情页

作者：

Sun, Zhong-Hua (Sun, Zhong-Hua.) | Jiang, Bin (Jiang, Bin.) | Jia, Ke-Bin (Jia, Ke-Bin.) (学者：贾克斌)

收录：

EI Scopus PKU CSCD

摘要：

In　order　to　detect　the　snow　coverage　status　such　as　mild　or　heavy　coverage　on　road　to　keep　car　running　safe,　snow　coverage　detection　method　together　with　naive　Bayesian　classification　algorithm　was　proposed.　Firstly,　road　visual　feature　was　extracted　from　the　video　by　the　method　of　machine　vision　and　video　object　segmentation.　Then　the　road　snow　coverage　status　was　classified　with　naive　Bayesian　classifier.　The　performance　of　KNN,　ANN　and　SVM　classifier　for　road　snow　coverage　problem　were　compared.

关键词：

Classification (of information) Image segmentation Motion compensation Roads and streets Snow Support vector machines Textures

作者机构：

[ 1 ] [Sun, Zhong-Hua]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Jiang, Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Jia, Ke-Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

sunzh@bjut.edu.cn

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至