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Elsevier - Health Sciences Division

Embedded Systems in Automotive Applications

Embedded Systems in Automotive Applications

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  • More about Embedded Systems in Automotive Applications
With its well-thought-out overview of the topic, Embedded Systems in Automotive Applications serves diverse audience across both in academia and industry. The volume discusses the AUTOSAR architecture and standards, highlighting their role in enabling the integration of emerging technologies such as blockchain-based security within the Internet of Vehicles. It further addresses embedded software design, implementation, and validation techniques that are fundamental to developing reliable and safety-critical automotive systems. In addition, it examines electric vehicle technologies, with particular focus on advanced battery management strategies and real-time power and health monitoring. Autonomous driving is explored through LiDAR-SLAM techniques and FPGA-based hardware architectures designed to support robust vehicle navigation. The book also emphasizes vehicle connectivity and telematics applications, encompassing innovations in smart mobility and intelligent transport. Together, these themes provide readers with a rigorous and well-rounded understanding of the challenges, methodologies, and opportunities shaping next-generation automotive embedded systems.
  • Publication date: 6 March 2026
  • Page count: 386
  • Dimensions: Height 229 mm; Width 152 mm
  • Publisher: Elsevier - Health Sciences Division
  • Format: Paperback
  • ISBN-13: 9780443338618

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