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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

2Age of Computational AI for Autonomous Vehicles

Akash Mohanty1, U. Rahamathunnisa2, K. Sudhakar3 and R. Sathiyaraj4*

1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

2School of Information Technology and Engineering and Technology, Vellore Institute of Technology, Vellore, India

3Department of Computer Science and Engineering, Madanapalle Institute of Technology, Madanapalle, Andhra Pradesh, India

4Department of CSE, GITAM School of Technology, GITAM University, Bengaluru, Karnataka, India

Abstract

Autonomous vehicles have made a great impact on research and industrial growth over the past era. The automobile industry is now being revolutionized by self-driving (or driverless) technology owing to enhanced and advanced autonomous vehicles that make use of cutting-edge computational methods from the fields of machine intelligence and artificial intelligence (AI). Autonomous vehicles are now able to assess their surroundings with high accuracy, make sensible choices in real-time environments, and function legitimately without human intervention and technological advancements in the arena of computationally powerful AI algorithms. The development of autonomous vehicles relies heavily on cutting-edge computational technologies. The chapter aims to review the contemporary methods of computational models over time and presents the computational models in the arena of Machine Learning, its subset Deep Learning and Artificial Intelligence. ...

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Publisher Resources

ISBN: 9781119847465Purchase Link