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Artificial Intelligence for Autonomous Vehicles
book

Artificial Intelligence for Autonomous Vehicles

by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
March 2024
Intermediate to advanced
272 pages
7h 45m
English
Wiley-Scrivener
Content preview from Artificial Intelligence for Autonomous Vehicles

5Autonomous Car Driver Assistance System

R. Annamalai1, S. Sudha Mercy2, J. M. Mathana3, N. Banupriya4*, Rajalakshmi S.4 and S. D. Lalitha4

1Department of CSE, R.M.K. Engineering College, Jeppiar Institute of Technology, Tamil Nadu, India

2Jeppiar Institute of Technology, Tamil Nadu, India

3Hindustan Institute of Technology and Science, Tamil Nadu, India

4RMK Engineering College, Tamil Nadu, India

Abstract

For the larger part of the last few decades, researchers have been actively pursuing their goals of developing automobiles that can operate without human intervention. Numerous studies have been carried out on the issue of using a camera that is positioned on the front of a vehicle for the purposes of localization and navigation of the vehicle, environment mapping, and obstacle avoidance. These are all goals that the camera is intended to accomplish. Every single algorithm for recognizing traffic signs has four primary objectives that it is striving toward accomplishing. These objectives are listed below. The algorithm includes a list of these objectives. The first and most important thing for us to do is to guarantee that the algorithm will provide reliable results. The fundamental concept of accuracy has to be adhered to throughout the whole process of assessing it, beginning with the methodology all the way up to the measurement that is employed. There is a good chance that the activation of driver assistance features will need nothing more than a high degree of accuracy ...

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Publisher Resources

ISBN: 9781119847465Purchase Link