Developing a Self-Driving Autonomous Car using Artificial Intelligence Algorithm

TL;DR: Using deep learning, machine learning, computer vision, and conventional neural networks, a self-driving automobile was developed in this article by modeling the design of a car body and the implementation of various sensors on the car chassis in order to automatically run the cars.

Abstract: A fully automated driving system allows an autonomous vehicle to adapt to external conditions that a human driver would typically handle. Using deep learning (DL), machine learning (ML), computer vision (CV), and conventional neural networks (CNN), a self-driving automobile will be developed in this study by modeling the design of a car body and the implementation of various sensors on the car chassis in order to automatically run the cars. In addition, the car will undergo real-time obstetrical on the roads and self-training in order to learn itself appropriately. In contrast, the fundamental principles of artificial intelligence and their relationship to the autonomous car are examined.