Road Surface Detection and Recognition for Route Recommendation

This paper presents an early research on the route recommendation system based on street view images. It consists of three primary functions. (1) Data collection: The user selects a path using a graphical user interface and download all street view images for the path. (2) Road surface extraction: The vanishing point in the image is obtained according to the road surface region segmentation by local growing at a super-pixel level. (3) Road surface identification: The images of brick and asphalt road surfaces are collected for training, and then used to identify the road surface type for route recommendation. The objective is to find the most comfortable path, which is not necessarily to be the shortest one. The experimental results show that our pre-selected groups of route well suit the original expectation.