Host: The Institute of Image Electronics Engineers of Japan
The road status estimation technology from road surface is one of the important issue as ITS (Intelligent Transport System) in recent years. In this paper, we present road status estimation method from road surface image using texture analysis and neural network. By using this method, the road risk information (puddle, snow, ice and etc) from the status of the road surface can be obtained. Overall estimation accuracy for all mesh images is achieving over 90%.