Artificial Intelligence for Autonomous Vehicles

Name: Artificial Intelligence for Autonomous Vehicles
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SKU: 9781119847465
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The Future of Driverless Technology

Series: Advances in Data Engineering and Machine Learning

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Format: Hardback

$371⁹⁹

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Artificial Intelligence for Autonomous Vehicles

$371⁹⁹

Artificial Intelligence for Autonomous Vehicles

Description

With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras, making driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are striving to develop novel AI algorithms capable of handling driverless technology since current algorithms do not fully support and elevate the concept of autonomous vehicles. This underscores the necessity of novel methods and tools dedicated to designing and developing frameworks for autonomous vehicles.

There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations exclusively rely on non-traditional programming approaches and depend on machine learning techniques, which are integral parts of AI. Multiple issues need resolution by AI to achieve reliable and safe driverless technology.

The purpose of Artificial Intelligence for Autonomous Vehicles is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavours. The major contribution of this book is to provide a comprehensive suite of AI solutions for driverless technology that can offer a safe, clean, and more convenient mode of transportation without risks.

Series: Advances in Data Engineering and Machine Learning

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Artificial Intelligence for Autonomous Vehicles

Hardback

$371⁹⁹

Available
Ships in 3-4 weeks

Book Details

INFORMATION

ISBN: 9781119847465

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 02 May 2024

Country: United States

Imprint: Wiley-Scrivener

Contributors:

Edited by Sathiyaraj Rajendran
Edited by Munish Sabharwal
Edited by Yu-Chen Hu
Edited by Rajesh Kumar Dhanaraj
Edited by Balamurugan Balusamy

Audience: Professional and scholarly

DIMENSIONS

Weight: 635g

Pages: 272

Collections

Computing & Technology Education & Reference Engineering, Technology & Agriculture Non-Fiction Series: Advances in Data Engineering and Machine Learning

About the Author

Sathiyaraj Rajendran, PhD, is an assistant professor in the School of Engineering & Technology at the Chikka Muniyappa Reddy University, Bangalore. He completed his PhD at Anna University, Chennai. He has more than nine years of experience and has collaborated actively with researchers in several other disciplines of computer science, particularly traffic prediction systems and intelligent systems. Additionally, he has authored more than 25 publications and filed five patents.

Munish Sabharwal, PhD, is a professor and dean in the School of Computing Science & Engineering, Galgotias University, Greater Noida, India, as well as an adjunct professor in the department of Applied Mathematics and IT at Samarkand State University, Samarkand, Uzbekistan. He has contributed over 21 years in teaching, education management, research, and software development. Additionally, he has published more than 55 research papers in conferences and journals and three books.

Yu-Chen Hu, PhD, is a professor in the Department of Computer Science and Information Management, Providence University, Sha-Lu, Taiwan. He is a senior member of Institute of Electrical and Electronics Engineers. He is also a member of Computer Vision, Graphics, and Image Processing (CVGIP), the Chinese Cryptology and Information Security Association (CCISA), Computer Science and Information Management (CSIM), and the Phi Tau Phi Society of the Republic of China. His research interests include digital forensics, information hiding, image and signal processing, data compression, information security, and data engineering.

Rajesh Kumar Dhanaraj, PhD, is an associate professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, Uttar Pradesh, India. He has published over 35 articles in various journals and conference proceedings and contributed chapters to many books. In addition to his teaching role, he is also an Expert Advisory Panel Member of Texas Instruments Inc., USA.

Balamurugan Balusamy is a professor at Galgotias University, Greater Noida, Uttar Pradesh, India with over 14 years of experience. He has published close to 30 books on various technologies, as well as over 150 quality journal, conference, and book chapters combined, visiting over 15 countries for his technical discourse. He serves on the advisory committee for several startups and forums and does consultancy work for the industry on Industrial Internet of Things.

Artificial Intelligence for Autonomous Vehicles

Artificial Intelligence for Autonomous Vehicles