Kakuto Haruka

Road Surface Condition Discrimination on Highways in Winter Using Machine Learning Based Image Recognition

Sano Kazushi, Kato teppei

Current snow removal operations are mainly based on sensory indicators and lack quantitative indicators. This study aims to quantitatively and comprehensively understand the condition of roads from images, and to use them as indicators for snow removal activities and driving.