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Embedded Systems in Automotive Applications

Embedded Systems in Automotive Applications

          
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About the Book

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.

Table of Contents:
Part I. Introduction 1. Overview of Embedded Systems in Automotive Applications Part II. AUTOSAR Architecture and Standards 2. AUTOSAR in Automotive Embedded Systems: Classic vs. Adaptive Platforms and Their Role in IoV Development with Integrated Blockchain Security 3. Multi-threading Integration in Automotive Computing: AUTOSAR-Compliant Survey 4. A Concise Survey on ADAS: Advances in Vehicle and Pedestrian Detection with a focus on the AUTOSAR Automotive Standard Part III. Embedded Software Implementation and Validation 5. Efficient Parallel Implementation Strategies on Multicore Digital Signal Processors 6. Google Test/ Google Mock to Verify Critical Embedded Software 7. MIL and PIL Tests for SOC Estimation Algorithms of Electric Vehicles Lithium-ion Batteries and its Implementation on ARM Embedded Processor Part IV. Battery Management Systems and Monitoring 8. Battery Management Systems: Integration and Optimization in Automotive Applications 9. Battery Real-time Power Monitoring and Control in Automotive Embedded Systems Part V. Autonomous Driving Technologies 10. A Comprehensive Review of LiDAR-SLAM for Hardware Implementation for Autonomous Vehicles 11. Efficient FPGA-Based Hardware Architecture for High-Performance EKF-SLAM in Autonomous Vehicle Navigation 12. Advancing Autonomous Vehicle Technology with 3D LiDAR and SqueezeSeg-ROS Integration Part VI. Connectivity and Telematics 13. 3G Universal Plugin for Car Remote Starters and Alarm Systems and Car Key Fobs


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Product Details
  • ISBN-13: 9780443338618
  • Publisher: Elsevier - Health Sciences Division
  • Publisher Imprint: Elsevier - Health Sciences Division
  • Height: 229 mm
  • No of Pages: 425
  • Width: 152 mm
  • ISBN-10: 0443338612
  • Publisher Date: 01 Mar 2026
  • Binding: Paperback
  • Language: English
  • Weight: 450 gr


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