Automotive surface identification system based on modular neural network architecture
Aleksandr Bystrov, Edward Hoare, Thuy-Yung Tran, Nigel Clarke, Marina S. Gashinova, Mikhail Cherniakov · 2017
The development of automotive remote surface identification system is an important step in ensuring road safety. In this paper we shall discuss a novel approach which addresses the road surface classification process. This method is based on polarimetric radar and sonar data fusion and surface identification using artificial neural network. A modular artificial neural network, which is considered in the paper, allows an overall increase in classification accuracy in the presence of a large number of surface types and a large number of signal features. We shall discuss the techniques involved and present classification results that have been achieved using modular neural network.