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Duration 28 hours
Course Outline
Module 1: Foundations of Automotive Software and AUTOSAR
- Overview of automotive embedded systems
- The evolution of AUTOSAR: Distinguishing Classic vs. Adaptive
- Key concepts and layers of AUTOSAR architecture
- Relation between ADAS systems and AUTOSAR standards
Module 2: Core Concepts of the AUTOSAR Classic Platform
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- ECU configuration strategies and communication mechanisms
- Workflows for tooling and configuration
- Integration strategies for AUTOSAR Classic with legacy systems
Module 3: Fundamentals of the AUTOSAR Adaptive Platform
- Architectural introduction to AUTOSAR Adaptive
- Design and execution models for Adaptive Applications (AA)
- POSIX-based operating systems and Execution Management (EM)
- Adaptive Platform Services (AP Services) and communication middleware
Module 4: Service-Oriented Architecture and Communication
- Protocols including SOME/IP, DDS, and ara::com
- Configuration and design of service interfaces
- Inter-communication among Adaptive Applications
- Integration pathways with external ECUs and the Classic Platform
Module 5: AUTOSAR Adaptive in ADAS Development
- Functional architecture and overview of ADAS features
- Challenges in sensor fusion and data communication
- Incorporating ADAS algorithms within AUTOSAR Adaptive
- Case studies illustrating real-world 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 equivalents)
- Processes for code generation and deployment on target hardware
- Techniques for testing and debugging adaptive applications
Module 7: Advanced Topics and Industry Best Practices
- Safety and security considerations for AUTOSAR Adaptive and ADAS
- Diagnostics, monitoring, and update mechanisms in adaptive environments
- Optimization strategies for real-time performance
- Emerging trends in automotive software architecture
Module 8: Practical Application and Project Work
- Guided hands-on exercises using AUTOSAR development tools
- Simulation and configuration of ADAS components
- Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case
Summary and Recommended Next Steps
Requirements
- Proficiency in C/C++ programming for embedded systems
- Familiarity with fundamental automotive software principles
- Working knowledge of microcontrollers, communication protocols, and real-time operating systems
Target Audience
- Software developers and engineers in the automotive sector
- Architects specializing in embedded systems
- Developers focusing on ADAS and autonomous vehicle software
