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Course Outline
Module 1: Introduction to Automotive Software and AUTOSAR
- Overview of automotive embedded systems.
- The evolution of AUTOSAR: Classic versus Adaptive.
- AUTOSAR architecture layers and key concepts.
- Overview of ADAS systems and their relationship to AUTOSAR.
Module 2: AUTOSAR Classic Platform – Core Concepts
- Basic Software (BSW) layers and Runtime Environment (RTE).
- ECU configuration and communication mechanisms.
- Tools and configuration workflows.
- Integrating AUTOSAR Classic with legacy systems.
Module 3: AUTOSAR Adaptive Platform – Fundamentals
- Introduction to AUTOSAR Adaptive architecture.
- Adaptive Application (AA) design and execution.
- POSIX-based operating systems and the Execution Management (EM).
- Adaptive Platform Services (AP Services) and communication middleware.
Module 4: Communication and Service-Oriented Architecture
- SOME/IP, DDS, and ara::com.
- Design and configuration of service interfaces.
- 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.
- Sensor fusion and data communication challenges.
- Integration of ADAS algorithms within AUTOSAR Adaptive.
- Real-world case studies of ADAS software architecture.
Module 6: Development Workflow and Tools
- Overview of the AUTOSAR-compliant toolchain.
- Modelling and configuration tools (e.g., Vector, EB tresos, DaVinci, or similar).
- Code generation and deployment on target hardware.
- Testing and debugging adaptive applications.
Module 7: Advanced Topics and Best Practices
- Security and safety in AUTOSAR Adaptive and ADAS.
- Updates, diagnostics, and monitoring in adaptive environments.
- Real-time performance optimisation.
- Future 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
- Experience in C/C++ programming for embedded systems.
- Understanding of fundamental automotive software concepts.
- Familiarity with microcontrollers, communication protocols, and real-time systems.
Audience
- Automotive software developers and engineers.
- Embedded systems architects.
- ADAS and autonomous vehicle software developers.
28 Hours
