Embedded Systems in Automotive Applications
portes grátis
Embedded Systems in Automotive Applications
El Hammoumi, Aboubakr; Motahhir, Saad
Elsevier - Health Sciences Division
03/2026
386
Mole
Inglês
9780443338618
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Automotive embedded systems; complex automotive embedded systems; embedded software; embedded hardware; automotive applications; AUTOSAR; Internet of Vehicles; Electronic Stability Control; ADAS; AI in automotive; automotive research; automotive industry; automotive software engineering; embedded communications; requirements for safe and secure software development; motor industry software reliability; automotive quality; vehicle safety and security; vehicle safety performance; automotive safety-critical systems; automotive software architecture framework; automotive software-based systems; automotive electronics; automotive electronic control units; vehicle manufacturing; Automotive SPICE; vehicle electrification; electric vehicles; hybrid vehicles; autonomous vehicles; autonomous driving; digital technologies integration in automotive; automotive blockchain; automotive cybersecurity; automotive compliance; automotive compliance concerns; automotive industry challenges; smart automotive solutions.
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Automotive embedded systems; complex automotive embedded systems; embedded software; embedded hardware; automotive applications; AUTOSAR; Internet of Vehicles; Electronic Stability Control; ADAS; AI in automotive; automotive research; automotive industry; automotive software engineering; embedded communications; requirements for safe and secure software development; motor industry software reliability; automotive quality; vehicle safety and security; vehicle safety performance; automotive safety-critical systems; automotive software architecture framework; automotive software-based systems; automotive electronics; automotive electronic control units; vehicle manufacturing; Automotive SPICE; vehicle electrification; electric vehicles; hybrid vehicles; autonomous vehicles; autonomous driving; digital technologies integration in automotive; automotive blockchain; automotive cybersecurity; automotive compliance; automotive compliance concerns; automotive industry challenges; smart automotive solutions.
