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Course Outline
Module 1: Introduction to Automotive Software and AUTOSAR
- Overview of automotive embedded systems.
- The evolution of AUTOSAR: comparing Classic and Adaptive approaches.
- Key concepts and architectural layers of AUTOSAR.
- Introduction to ADAS systems and their relationship with AUTOSAR.
Module 2: AUTOSAR Classic Platform – Core Concepts
- Basic Software (BSW) layers and the Runtime Environment (RTE).
- ECU configuration and communication mechanisms.
- Tooling and configuration workflows.
- Integrating 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 the Execution Management (EM) layer.
- Adaptive Platform Services (AP Services) and communication middleware.
Module 4: Communication and Service-Oriented Architecture
- SOME/IP, DDS, and ara::com technologies.
- Design and configuration of service interfaces.
- Enabling 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 related to sensor fusion and data communication.
- Incorporating ADAS algorithms into AUTOSAR Adaptive.
- Real-world case studies of ADAS software architecture.
Module 6: Development Workflow and Tools
- Overview of AUTOSAR-compliant toolchains.
- Modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or similar).
- Code generation and deployment on target hardware.
- Testing and debugging of adaptive applications.
Module 7: Advanced Topics and Best Practices
- Safety and security considerations in AUTOSAR Adaptive and ADAS.
- Updates, diagnostics, and monitoring in adaptive environments.
- Optimizing real-time performance.
- Emerging trends in automotive software architecture.
Module 8: Hands-On Practice and Project
- Guided practical exercises using 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.
- Solid understanding of fundamental automotive software concepts.
- Familiarity with microcontrollers, communication protocols, and real-time operating systems.
Target Audience
- Automotive software developers and engineers.
- Embedded systems architects.
- Software developers working on ADAS and autonomous vehicles.
28 Hours
