Automotive Software Development with AUTOSAR: Classic and Adaptive Platforms Training Course

Module 1: Foundations of Automotive Software and AUTOSAR

• An overview of automotive embedded system ecosystems.
• Tracing the evolution of AUTOSAR: contrasting Classic and Adaptive approaches.
• Examining the architectural layers and core concepts of AUTOSAR.
• Understanding ADAS systems and their interplay with AUTOSAR standards.

Module 2: Core Concepts of the AUTOSAR Classic Platform

• Exploring Basic Software (BSW) layers and the Runtime Environment (RTE).
• Techniques for ECU configuration and communication strategies.
• Navigating tools and configuration workflows effectively.
• Strategies for integrating AUTOSAR Classic with existing legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

• An introduction to the structural and functional aspects of AUTOSAR Adaptive.
• Designing and executing Adaptive Applications (AA).
• Utilizing POSIX-based operating systems and Execution Management (EM).
• Implementing Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Communication and Service-Oriented Architecture

• Detailed look at SOME/IP, DDS, and ara::com.
• Best practices for designing and configuring service interfaces.
• Managing communication between various Adaptive Applications.
• Facilitating integration with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

• Reviewing ADAS functionalities and their functional architecture.
• Addressing sensor fusion and data communication complexities.
• Integrating ADAS algorithms within the AUTOSAR Adaptive framework.
• Analyzing real-world case studies of ADAS software architectures.

Module 6: Development Workflows and Toolchains

• Surveying the landscape of AUTOSAR-compliant toolchains.
• Utilizing modeling and configuration tools such as Vector, EB tresos, DaVinci, or equivalents.
• Executing code generation and deployment processes on target hardware.
• Conducting thorough testing and debugging of adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

• Ensuring security and safety standards in AUTOSAR Adaptive and ADAS contexts.
• Managing updates, diagnostics, and monitoring within adaptive environments.
• Optimizing real-time performance for critical applications.
• Exploring emerging trends in automotive software architecture.

Module 8: Practical Exercises and Capstone Project

• Engaging in guided practical exercises with professional AUTOSAR development tools.
• Configuring and simulating complex ADAS components.
• Completing a mini-project: designing a straightforward Adaptive AUTOSAR application for a specific ADAS use case.

Course Summary and Recommended Next Steps