Description
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)
Table of Contents
Part I. Introduction1. Overview of Embedded Systems in Automotive ApplicationsPart II. AUTOSAR Architecture and Standards2. AUTOSAR in Automotive Embedded Systems: Classic vs. Adaptive Platforms and Their Role in IoV Development with Integrated Blockchain Security3. Multi-threading Integration in Automotive Computing: AUTOSAR-Compliant Survey4. A Concise Survey on ADAS: Advances in Vehicle and Pedestrian Detection with a focus on the AUTOSAR Automotive StandardPart III. Embedded Software Implementation and Validation5. Efficient Parallel Implementation Strategies on Multicore Digital Signal Processors6. Google Test/ Google Mock to Verify Critical Embedded Software7. MIL and PIL Tests for SOC Estimation Algorithms of Electric Vehicles Lithium-ion Batteries and its Implementation on ARM Embedded ProcessorPart IV. Battery Management Systems and Monitoring8. Battery Management Systems: Integration and Optimization in Automotive Applications9. Battery Real-time Power Monitoring and Control in Automotive Embedded SystemsPart V. Autonomous Driving Technologies10. A Comprehensive Review of LiDAR-SLAM for Hardware Implementation for Autonomous Vehicles11. Efficient FPGA-Based Hardware Architecture for High-Performance EKF-SLAM in Autonomous Vehicle Navigation12. Advancing Autonomous Vehicle Technology with 3D LiDAR and SqueezeSeg-ROS IntegrationPart VI. Connectivity and Telematics13. 3G Universal Plugin for Car Remote Starters and Alarm Systems and Car Key Fobs
