Autonomous Vehicles, Volume 1

2Algorithms and Difficulties for Autonomous Cars Based on Artificial Intelligence

Sumit Dhariwal^l*, Avani Sharma¹ and Avinash Raipuria²

¹Department of Information Technology, Manipal University, Jaipur, India

²Department of Information Technology, Malaysia University of Science & Technology, Petaling Jaya, Selangor, Malaysia

Abstract

In the past, no one could have imagined that automobiles would eventually be able to drive themselves, but with the help of science and technology, autonomous vehicles are now a realistic alternative in a variety of industries. Agriculture, transportation, and the military are just a few examples. Vehicles must gather information, determine routes, and carry out their plans. To move, these vehicles require sensor data and artificial intelligence (AI) algorithms. Machine learning techniques are employed and this is part of AI. This two-part essay analyses the AI solicitation that will allow self-driving vehicles to become a reality, as well as the issues and solutions that will be encountered.

Keywords: Route planning, object detection, and decision making, support vector machine

2.1 Introduction

In some sections of industry, independent vehicles [1] are starting to become a serious prospect. Agriculture, transportation [2], and defense are only a few examples. The day when autonomous vehicles will be seen in everyday life by the average person is rapidly coming. Sensor data and artificial intelligence (AI) algorithms [3] are used in many of the ...