2022•2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)Requires access
Image and CAIS Features-Based Estimation of Road Surface Condition on Winter Local Road
Masamu Ishizuki, Sho Takahashi, Toru Hagiwara, Keita Ishii, Yuji Iwasaki, Teppei Mori, Yasushi Hanatsuka
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Abstract
This paper proposes a method for estimating road surface condition of winter local road based on image and CAIS features. In the proposed method, the classification model for estimating road surface condition is constructed from camera image, acceleration of the tire, level of the tire sound and road temperature, obtained from actual vehicles on winter local road. The classifying road surface conditions are Dry, Slightly wet, Wet, Slushy, Icy and Snowy, referring to the classification used in road surface management work. In the last of this paper, experimental results are shown to verify the performance of our method.