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Course Outline
Module 1: Foundations of Automotive Software and AUTOSAR
- Overview of embedded systems in the automotive sector
- The evolution of AUTOSAR: comparing Classic and Adaptive platforms
- Architectural layers and core principles of AUTOSAR
- ADAS systems and their integration with the AUTOSAR framework
Module 2: Core Concepts of the AUTOSAR Classic Platform
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- ECU setup and communication mechanisms
- Tooling and configuration workflows
- Integrating AUTOSAR Classic with legacy systems
Module 3: Fundamentals of the AUTOSAR Adaptive Platform
- Introduction to the adaptive architecture model
- Designing and executing Adaptive Applications (AA)
- POSIX-based operating systems and Execution Management (EM)
- AP Services and communication middleware
Module 4: Communication and Service-Oriented Architecture
- Technologies including SOME/IP, DDS, and ara::com
- Designing and configuring service interfaces
- Inter-application communication strategies
- Integration with external ECUs and the Classic Platform
Module 5: Applying AUTOSAR Adaptive to ADAS Development
- Functional architecture and features of ADAS
- Addressing challenges in sensor fusion and data communication
- Embedding ADAS algorithms within the AUTOSAR Adaptive framework
- Case studies on real-world ADAS software architecture
Module 6: Development Workflows and Tooling
- Overview of the AUTOSAR-compliant toolchain
- Modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents)
- Code generation and deployment to target hardware
- Testing and debugging adaptive applications
Module 7: Advanced Topics and Industry Best Practices
- Security and safety considerations in Adaptive and ADAS contexts
- Updates, diagnostics, and monitoring in adaptive environments
- Optimizing real-time performance
- Future trends in automotive software architecture
Module 8: Practical Application and Project Work
- Guided hands-on exercises using AUTOSAR development tools
- Configuring and simulating ADAS components
- Mini-project: Designing a basic Adaptive AUTOSAR application for an ADAS scenario
Conclusion and Future Pathways
Requirements
- Proficiency in C/C++ programming specifically for embedded systems
- Fundamental understanding of automotive software principles
- Working knowledge of microcontrollers, communication protocols, and real-time operating systems
Target Audience
- Automotive software developers and engineers
- Embedded systems architects
- Software developers specializing in ADAS and autonomous vehicles
28 Hours
