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dc.contributor.authorKrishnamurthi, Ren_US
dc.contributor.authorKumar, Aen_US
dc.contributor.authorGill, SSen_US
dc.date.accessioned2022-07-05T10:59:22Z
dc.date.issued2022-01-01en_US
dc.identifier.isbn9780323907156en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/79295
dc.description.abstractAutonomous 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.en_US
dc.format.extent1 - 427en_US
dc.titleAutonomous and Connected Heavy Vehicle Technologyen_US
dc.typeBook
dc.identifier.doi10.1016/B978-0-323-90592-3.09990-0en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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