Self-Driving Car Using Supervised Learning

Abstract

In the growing field of autonomous driving, minimizing human errors lead to fatal accidents. Many companies and research groups have been working for years to achieve a fully autonomous vehicle. Self-driving cars are inevitably the future. The system to be implemented is to train and directly translate images from three cameras to steering commands. The proposed method is expected to work on local roads with or without lane markings. With just the images generated and the human steering angle as the training signal, the proposed method is expected to automatically recognize important road characteristics. A simulator (Udacity) is used to generate data for the proposed model.