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Duration 28 hours
Course Outline
Module 1: Foundations of Automotive Software and AUTOSAR
- Introduction to automotive embedded systems
- The evolution of AUTOSAR: Comparing Classic and Adaptive frameworks
- Exploring AUTOSAR architectural layers and core concepts
- Understanding ADAS systems and their integration with AUTOSAR
Module 2: Core Concepts of the AUTOSAR Classic Platform
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- Configuring ECUs and managing communication mechanisms
- Tools and configuration workflows
- Integrating AUTOSAR Classic with existing legacy systems
Module 3: Fundamentals of the AUTOSAR Adaptive Platform
- Overview of AUTOSAR Adaptive architecture
- Designing and executing 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 such as SOME/IP, DDS, and ara::com
- Designing and configuring service interfaces
- Inter-application communication within Adaptive Applications
- Integration with external ECUs and the Classic Platform
Module 5: AUTOSAR Adaptive in ADAS Development
- Overview of ADAS functionalities and functional architecture
- Challenges in sensor fusion and data communication
- Incorporating ADAS algorithms into AUTOSAR Adaptive
- Real-world case studies on ADAS software architecture
Module 6: Development Workflow and Tooling
- Survey of AUTOSAR-compliant toolchains
- Modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalents)
- Code generation and deployment to target hardware
- Testing and debugging adaptive applications
Module 7: Advanced Topics and Best Practices
- Security and safety considerations in AUTOSAR Adaptive and ADAS
- Management of updates, diagnostics, and monitoring in adaptive environments
- Optimizing real-time performance
- Emerging trends in automotive software architecture
Module 8: Practical Application and Project
- Guided exercises utilizing AUTOSAR development tools
- Configuring and simulating ADAS components
- Mini-project: Architecting a simple Adaptive AUTOSAR application for an ADAS use case
Summary and Path Forward
Requirements
- Proficiency in C/C++ programming for embedded systems
- Fundamental understanding of automotive software principles
- Working knowledge of microcontrollers, communication protocols, and real-time operating systems
Target Audience
- Automotive software developers and engineers
- Architects specializing in embedded systems
- Developers focused on ADAS and autonomous vehicle software
