Autonomous and connected heavy vehicle technology

• Titel: Autonomous and connected heavy vehicle technology
• Mitwirkende: Krishnamurthi, Rajalakshmi [MitwirkendeR]
• Mitwirkende: Kumar, Adarsh [MitwirkendeR]
• Mitwirkende: Gill, Sukhpal Singh [MitwirkendeR]
• Verf.angabe: edited by Rajalakshmi Krishnamurthi, Adarsh Kumar and Sukhpal Singh Gill
• Verlagsort: London
• Verlag: Academic Press
• Jahr: 2022
• Umfang: 1 online resource.
• Gesamttitel/Reihe: Intelligent data centric systems
• ISBN: 978-0-323-90715-6
• ISBN: 0-323-90715-6
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Trucks ; Automatic control
• K10plus-PPN: 1892763958
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544474108
• Lokale URL Inst.: Zum Volltext

Abstract

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.