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Autonomous And Connected Heavy Vehicle Technology First Rajalakshmi Krishnamurthi

  • SKU: BELL-44864412
Autonomous And Connected Heavy Vehicle Technology First Rajalakshmi Krishnamurthi
$ 31.00 $ 45.00 (-31%)

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Autonomous And Connected Heavy Vehicle Technology First Rajalakshmi Krishnamurthi instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 26.51 MB
Pages: 454
Author: Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill, (eds)
ISBN: 9780323905923, 0323905927, B09QSCZLH9
Language: English
Year: 2022
Edition: First
Volume: 1

Product desciption

Autonomous And Connected Heavy Vehicle Technology First Rajalakshmi Krishnamurthi by Rajalakshmi Krishnamurthi, Adarsh Kumar, Sukhpal Singh Gill, (eds) 9780323905923, 0323905927, B09QSCZLH9 instant download after payment.

Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integrationAddresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysisProvides complete product development, commercial deployment, technological and performing costs and scaling needs

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