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초록
In this paper, we propose a method to detect the state of the road surface condition using wavelet and SVM(Support Vector Machine) classifier. The Road surface conditions are classified into a set of pattern states such as dry, wet, snow, ice. This approach automatically analyze road surface condition change using image processing, and does not require extra sensors. Feature extraction using wavelet transformation is classified by the SVM classifier.
- 제목
- Detection Algorithm for Road Surface Condition using Wavelet Packet Transform and SVM
- 저자
- Jeong Dong Seok
- 학회명
- The 19th Workshop on Frontiers of Computer Vision (FCV2013)
- 개최지
- 인하대학교
- 학회 개최일
- 2013-01-30