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17TH World Congress on Road Winter Service, Resilience and Decarbonisation - Pre-proceedings of the Congress

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  • IP0102 - The test implementation of a wide-area road snow and ice condition estimation system using road CCTV cameras and deep learning
    Akira SAIDA , Kota OKUMURA , Tetsurou MATSUSHIMA , Hiroshi NAKAMURA , Yuki NAKAMURA

    Knowing the snow and ice conditions on winter roads is crucial for appropriate winter road maintenance. However, conventional devices for measuring such conditions are expensive and labor-intensive. To address these issues, we used deep learning to develop a method for estimating the snow and ice conditions on winter roads, such as the skid resistance of the road surface, the qualitative road surface [...]