An analysis on diverse Deep Learning Strategies for Automated Driving

Abstract

Self-driving cars are one of the hottest areas of research and business for the tech tyrant. What appeared similar to a science-narrative, a few years ago, now give the impression more like something which is presently to turn out to be a part and parcel of life. So much so, that now, with the help of basic deep learning, neural network, we can build our own pipeline for autonomous driving. Deep learning is a subset of machine learning exemplar. Deep learning methods have also shown promise in applications to vehicle Automation. The main intent of this paper is to provide an review sregarding the evaluation of various deep learning control techniques like convolutional neural networks (CNN) and their role in various applications. Also this paper includes the discussion regarding the technological challenges for deep learning based control of autonomous vehicles.