Convolutional neural network in turn recognition tasks for electric transport safety

This study is dedicated to solve a turn recognition task by Convolutional neural network (CNN) application. System proposed in this paper is a part of the big research aimed at system, for the safe transportation process, development. Road turn is an important parameter in road circumstances analysing, collision possibility calculating and decision making for the accident prevention. System structure for turn recognition process and CNN algorithm with training is proposed in this paper. The experimental results validate the effectiveness of proposed algorithm. Experiments show that CNN correctly defines turn after training is done.