吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 380-383.

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Detection of the road snow coverage status based on naive Bayesian classifier

SUN Zhong-hua, JIANG Bin, JIA Ke-bin   

  1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • Received:2012-11-26 Published:2013-06-01

Abstract:

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.

Key words: road snow coverage, texture information, naive Bayesian classifier, video object segmentation

CLC Number: 

  • TP37

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