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

Module 1: Foundations of Automotive Software and AUTOSAR

• Introduction to automotive embedded systems.
• The evolution of AUTOSAR: Comparing Classic and Adaptive approaches.
• Key concepts and architectural layers within AUTOSAR.
• Understanding ADAS systems and their intersection with AUTOSAR standards.

Module 2: Core Principles of the AUTOSAR Classic Platform

• Exploring Basic Software (BSW) layers and the Runtime Environment (RTE).
• Strategies for ECU configuration and communication mechanisms.
• Configuration workflows and associated tooling.
• Methods for integrating AUTOSAR Classic with existing legacy systems.

Module 3: Getting Started with the AUTOSAR Adaptive Platform

• An introduction to the architectural design of AUTOSAR Adaptive.
• Designing and executing Adaptive Applications (AA).
• The role of POSIX-based operating systems and Execution Management (EM).
• Overview of Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Service-Oriented Architecture and Communication

• Deep dive into SOME/IP, DDS, and ara::com standards.
• Designing and configuring robust service interfaces.
• Managing communication flows between various Adaptive Applications.
• Strategies for integrating with external ECUs and the Classic Platform.

Module 5: Implementing AUTOSAR Adaptive in ADAS Development

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

Module 6: Development Workflows and Toolchains

• Overview of AUTOSAR-compliant toolchains.
• Utilizing modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents).
• Code generation processes and deployment strategies for target hardware.
• Techniques for testing and debugging adaptive applications.

Module 7: Advanced Concepts and Industry Best Practices

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

Module 8: Practical Application and Capstone Project

• Guided practical exercises utilizing professional AUTOSAR development tools.
• Configuring and simulating ADAS components in a controlled environment.
• Capstone project: Designing a simple Adaptive AUTOSAR application tailored for a specific ADAS use case.

Course Recap and Pathways for Continued Learning