Image based road surface classification method using CNN

Abstract

Road detection and road surface classification in autonomous driving are the most basic and important issues. In this paper, we propose a data augmentation method for road surface classification using image information. We design an optimal network that can classify the type of road surface from the input image information and propose a data increase technique that can efficiently judge by using limited data to improve learning performance. To verify the proposed methods, many running images were used on the Internet. Experimental vehicle was developed and applied to verify the developed networks and it shows that they operate accurately in real time.