Name: Embedded Systems in Automotive Applications
Price: 200 USD
Availability: InStock
ISBN: 9780443338618

Embedded Systems in Automotive Applications, 1st Edition, provides a multidisciplinary examination of modern vehicular computing platforms and hardware-software integration. Edited by Aboubakr El Hammoumi and Saad Motahhir, this volume details structural methodologies for developing secure, efficient automotive electronics. It is written for senior undergraduate students, postgraduate scholars, and academic researchers in automotive engineering.

The content synthesizes several key technological domains across the automotive field. It explores Internet of Vehicles security frameworks integrated with blockchain protocols to protect connected transport networks. For electric vehicle infrastructure, the text addresses real-time power monitoring and battery management systems. Additionally, it examines autonomous vehicle navigation through field-programmable gate array architectures and LiDAR-SLAM techniques.

A notable feature of the work is its dedicated analysis of Advanced Driver Assistance Systems, specifically focusing on vehicle and pedestrian detection standards. The book aligns with advanced degree programs in automotive systems and intelligent transport engineering.

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