Artificial Intelligence for Autonomous Vehicles, 9781119847465
Hardcover
AI unlocks driverless tech: A safe, clean, riskless transportation future.

Artificial Intelligence for Autonomous Vehicles

the future of driverless technology

$297.60

  • Hardcover

    272 pages

  • Release Date

    29 February 2024

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Summary

Driving the Future: AI for Autonomous Vehicles

With the rise of AI, driverless vehicles have sparked interest across society. The automotive industry is experiencing a technological boom with autonomous vehicle concepts, where self-driving is a key application of AI. Equipped with sensors, radars, and cameras, these vehicles are becoming a reality worldwide.

As we transition from traditional driving, researchers are developing new AI algorithms to support autonomous technolo…

Book Details

ISBN-13:9781119847465
ISBN-10:111984746X
Series:Advances in Data Engineering and Machine Learning
Author:Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Scrivener
Format:Hardcover
Number of Pages:272
Release Date:29 February 2024
Weight:526g
Dimensions:23mm x 328mm x 243mm
About The Author

Sathiyaraj Rajendran

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 the 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.

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