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http://dx.doi.org/10.12815/kits.2013.12.5.001

A Development of The Road Surface Decision Algorithm Using SVM(Support Vector Machine) Clustering Methods  

Kim, Jong Hoon (한국건설기술연구원)
Won, Jae Moo (한양대학교 도시대학원)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.5, 2013 , pp. 1-12 More about this Journal
Abstract
Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.
Keywords
Road Surface Condition Detection; ITS; CCTV; Image Processing; SVM Clustering;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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