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Duration 28 hours
Course Outline
Module 1: Introduction to Automotive Software and AUTOSAR
- Insights into automotive embedded systems
- The evolution of AUTOSAR: Classic vs. Adaptive
- AUTOSAR architectural layers and foundational concepts
- An overview of ADAS systems and their interplay with AUTOSAR
Module 2: Core Concepts of the AUTOSAR Classic Platform
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- ECU configuration and communication methods
- Toolchains and configuration workflows
- Integrating AUTOSAR Classic with legacy systems
Module 3: Fundamentals of the AUTOSAR Adaptive Platform
- Overview of 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
- SOME/IP, DDS, and ara::com
- Designing and configuring 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
- Challenges in sensor fusion and data communication
- Incorporating ADAS algorithms into AUTOSAR Adaptive
- Real-world case studies of ADAS software architectures
Module 6: Development Workflows and Toolchains
- 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
- Security and safety considerations in AUTOSAR Adaptive and ADAS
- Updates, diagnostics, and monitoring in adaptive environments
- Real-time performance optimization
- Emerging trends in automotive software architecture
Module 8: Practical Exercises and Project Work
- 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 Future Steps
Requirements
- Proficiency in C/C++ programming for embedded systems
- Comprehension of fundamental automotive software concepts
- Knowledge of microcontrollers, communication protocols, and real-time systems
Target Audience
- Automotive software developers and engineers
- Architects of embedded systems
- Developers specializing in ADAS and autonomous vehicle software
