Small scaled autonomous vehicle

Abstract

This paper presents a self-driving car using low cost convolutional neural network based platform. The project replicates the real autonomous vehicle/car into a small scaled remote controlled (RC) car. The CNN (convolutional neural network) provides a high accuracy prediction. A small camera is mounted on the RC car for capturing real time video feed to firstly train and then to predict the direction. The camera provides video feed to the input layer of the CNN that has hidden layers, that analyzes and compute the data to predict the output from an output layer that tells rc car to move in predicted direction.