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

Module 1: Foundamentals of Automotive Software and the AUTOSAR Standard

• A broad overview of embedded systems within the automotive sector.
• The evolution of AUTOSAR: contrasting Classic and Adaptive approaches.
• Key concepts and the layered structure of the AUTOSAR architecture.
• The role of ADAS systems and their alignment with AUTOSAR standards.

Module 2: Core Principles of the AUTOSAR Classic Platform

• Detailed look at the Basic Software (BSW) layers and the Runtime Environment (RTE).
• Configuring ECUs and understanding communication methods.
• Navigating tools and establishing efficient configuration workflows.
• Strategies for integrating AUTOSAR Classic with existing legacy systems.

Module 3: Essentials of the AUTOSAR Adaptive Platform

• Introduction to the design and principles of the Adaptive architecture.
• Designing and executing Adaptive Applications (AA).
• Utilizing POSIX-based operating systems and the role of Execution Management (EM).
• Exploring Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Communication Strategies and Service-Oriented Architectures

• Deep dive into SOME/IP, DDS, and ara::com standards.
• Crafting and configuring efficient service interfaces.
• Managing communication flows between different Adaptive Applications.
• Connecting with external ECUs and bridging to the Classic Platform.

Module 5: Leveraging AUTOSAR Adaptive for ADAS Development

• Overview of ADAS features and their functional design.
• Addressing challenges in sensor fusion and high-volume data communication.
• Embedding ADAS algorithms within the AUTOSAR Adaptive framework.
• Analysis of real-world case studies regarding ADAS software architecture.

Module 6: Development Processes and Tooling Ecosystems

• Surveying the AUTOSAR-compliant toolchain landscape.
• Utilizing modeling and configuration software (such as Vector, EB tresos, DaVinci, or equivalents).
• From code generation to deployment on target hardware.
• Techniques for testing and debugging adaptive applications.

Module 7: Advanced Insights and Industry Best Practices

• Enhancing security and safety profiles in AUTOSAR Adaptive and ADAS contexts.
• Managing updates, diagnostics, and monitoring within adaptive environments.
• Optimizing real-time performance for critical applications.
• Emerging trends shaping the future of automotive software architecture.

Module 8: Practical Application and Capstone Project

• Guided hands-on exercises utilizing professional AUTOSAR development tools.
• Simulating and configuring ADAS components for practical assessment.
• Capstone project: designing a functional Adaptive AUTOSAR application for a specific ADAS scenario.

Conclusion and Pathways for Further Development