Embedded Systems in Automotive Applications by El Hammoumi, Aboubakr; Motahhir, Saad;

Hosszú leírás:

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)

Tartalomjegyzék:

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