Autonomous and connected heavy vehicle technology
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Krishnamurthi, R., Kumar, A., & Gill, S. S. (2022). Autonomous and connected heavy vehicle technology . Academic Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Krishnamurthi, Rajalakshmi, Adarsh. Kumar and Sukhpal Singh. Gill. 2022. Autonomous and Connected Heavy Vehicle Technology. Academic Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Krishnamurthi, Rajalakshmi, Adarsh. Kumar and Sukhpal Singh. Gill. Autonomous and Connected Heavy Vehicle Technology Academic Press, 2022.
MLA Citation, 9th Edition (style guide)Krishnamurthi, Rajalakshmi., Adarsh Kumar, and Sukhpal Singh Gill. Autonomous and Connected Heavy Vehicle Technology Academic Press, 2022.
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Grouping Information
Grouped Work ID | ce7f77a4-7509-a9ed-300c-8b3105029f42-eng |
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Full title | autonomous and connected heavy vehicle technology |
Author | rajalakshmi krishnamurthi adarsh kumar and sukhpal |
Grouping Category | book |
Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-28 04:20:04AM |
Book Cover Information
Image Source | syndetics |
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First Loaded | Sep 6, 2024 |
Last Used | Sep 6, 2024 |
Marc Record
First Detected | Jul 29, 2024 04:07:02 PM |
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Last File Modification Time | Sep 06, 2024 04:52:35 PM |
MARC Record
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245 | 0 | 0 | |a Autonomous and connected heavy vehicle technology|c edited by Rajalakshmi Krishnamurthi, Adarsh Kumar and Sukhpal Singh Gill. |
260 | |a London :|b Academic Press,|c 2022. | ||
300 | |a 1 online resource. | ||
490 | 0 | |a Intelligent data centric systems | |
520 | |a 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 integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs and scaling needs. | ||
650 | 0 | |a Trucks|x Automatic control.|0 http://id.loc.gov/authorities/subjects/sh93010508 | |
700 | 1 | |a Krishnamurthi, Rajalakshmi. | |
700 | 1 | |a Kumar, Adarsh. | |
700 | 1 | |a Gill, Sukhpal Singh. | |
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