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.

• Systematically discusses automotive embedded systems, including information on the current state of the art and upcoming prospects
• Features in-depth coverage of core topics such as AUTOSAR standards, blockchain-enabled IoV security, embedded software validation, battery management, real-time monitoring in electric vehicles, LiDAR-SLAM techniques, and FPGA-based architectures for autonomous navigation
• Ensures readers are up-to-date with cutting-edge industry developments and are prepared to further steer research into prominent trends (e.g., autonomous driving, electric vehicles, and connected cars, among others)