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Title

Classification Algorithm for Road Surface Condition

Author

Hun-Jun Yang, Hyeok Jang, Jong-Wook Kang, Dong-Seok Jeong

Citation

Vol. 14  No. 1  pp. 1-5

Abstract

This study proposes a method to classify the state of the road surface condition using various features and SVM(Support Vector Machine) classifier. The Road surface conditions are classified into a set of pattern states such as dry, wet, snow, and ice. Each road condition has different polarization and frequency characteristics. Features obtained through wavelet transformation and histograms are classified by the SVM classifier.

Keywords

Texture classification Wavelet Packet Transform, Support Vector Machine

URL

http://paper.ijcsns.org/07_book/201401/20140101.pdf