ARTIFICIAL INTELLIGENCE POWER AND CHALLENGES IN AUTONOMOUS VEHICLE

Abstract

The autonomous vehicle is an emerging sector that encourages regulators, consumers and policy makers to understand the needs, problems and applications of AI. Autonomous vehicle refers to a vehicle capable of perceiving its surrounding environment and driving with little or no human driver input. The perception system is a fundamental component which enables the autonomous vehicle to collect data and extract relevant information from the environment to drive safely. By using the self-driving technology, the riders can be roamed to their destinations without using human interaction. In Order to increase the autonomous driving conditions computer vision and deep learning-based approaches are tended to be used. In this paper we have completed a substantial survey on Self Driving Cars and the technologies used in them. This article deals with the involvement of Artificial Intelligence in Autonomous cars and the general benefits acquired by the usage of Machine Learning and Artificial Intelligence in Autonomous Vehicles. Furthermore, we have also reviewed some issues that designers and developers come across in the process of implementation of an autonomous vehicle. The modern society is being revolutionized by the use of Artificial Intelligence and especially in the field of Automotive. This research paper focused on the evaluation of AI vision used in self-driving vehicles.