APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR ROAD TYPE CLASSIFICATION

Abstract

This paper presents an application of convolutional neural networks (CNN) in autonomous driving system, which represents the capacity of a vehicle to operate mostly or entirely autonomously, with or without human assistance. After basic introduction of CNN, we design and apply CNN-based algorithm in road type classification problem. The performed simulations show that satisfactory results can be achieved even with little data available.