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Title
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Classification Algorithm for Road Surface Condition
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Author
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Hun-Jun Yang, Hyeok Jang, Jong-Wook Kang, Dong-Seok Jeong
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Citation |
Vol. 14 No. 1 pp. 1-5
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Abstract
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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.
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Keywords
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Texture classification Wavelet Packet Transform, Support Vector Machine
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URL
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http://paper.ijcsns.org/07_book/201401/20140101.pdf
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