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Duration 28 hours
Course Outline
Module 1: Fundamentals of Automotive Software and AUTOSAR
- Overview of automotive embedded systems
- The evolution of AUTOSAR: Classic vs. Adaptive
- Key concepts and layers within the AUTOSAR architecture
- Overview of ADAS systems and their integration with AUTOSAR
Module 2: AUTOSAR Classic Platform – Core Principles
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- ECU configuration and communication strategies
- Essential tools and configuration workflows
- Integration of AUTOSAR Classic with legacy systems
Module 3: AUTOSAR Adaptive Platform – Fundamentals
- Introduction to the AUTOSAR Adaptive architecture
- Design and execution of Adaptive Applications (AA)
- POSIX-based operating systems and Execution Management (EM)
- Adaptive Platform Services (AP Services) and communication middleware
Module 4: Communication and Service-Oriented Architecture
- Protocols and frameworks: SOME/IP, DDS, and ara::com
- Designing and configuring service interfaces
- Inter-communication between Adaptive Applications
- Integration with external ECUs and the Classic Platform
Module 5: AUTOSAR Adaptive in ADAS Development
- Overview of ADAS features and functional architecture
- Challenges in sensor fusion and data communication
- Integration of ADAS algorithms within the AUTOSAR Adaptive framework
- Real-world case studies of ADAS software architectures
Module 6: Development Workflow and Tooling
- Overview of the AUTOSAR-compliant toolchain
- Modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalent)
- Code generation and deployment to target hardware
- Testing and debugging adaptive applications
Module 7: Advanced Topics and Best Practices
- Security and safety considerations for AUTOSAR Adaptive and ADAS
- Updates, diagnostics, and monitoring in adaptive environments
- Optimizing real-time performance
- Future trends in automotive software architecture
Module 8: Hands-On Practice and Project
- Guided practical exercises utilizing AUTOSAR development tools
- Configuration and simulation of ADAS components
- Mini-project: Designing a simple Adaptive AUTOSAR application for an ADAS use case
Summary and Next Steps
Requirements
- Proficiency in C/C++ programming for embedded systems
- Fundamental understanding of automotive software principles
- Knowledge of microcontrollers, communication protocols, and real-time systems
Target Audience
- Automotive software developers and engineers
- Architects specializing in embedded systems
- Software developers working on ADAS and autonomous vehicle technologies
