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 Duration 28 hours

Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems.
  • The evolution of AUTOSAR: contrasting Classic and Adaptive approaches.
  • Exploring AUTOSAR architecture layers and core concepts.
  • The role of ADAS systems and their connection to AUTOSAR frameworks.

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE).
  • Configuring ECUs and establishing communication mechanisms.
  • Workflows for tools and configuration processes.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Foundations of the AUTOSAR Adaptive Platform

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

Module 4: Communication and Service-Oriented Architectures

  • Exploring SOME/IP, DDS, and ara::com protocols.
  • Designing and configuring service interfaces.
  • Facilitating communication between various Adaptive Applications.
  • Interfacing with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • An overview of ADAS features and functional architectures.
  • Addressing sensor fusion and data communication complexities.
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework.
  • Examining real-world case studies of ADAS software architectures.

Module 6: Development Workflows and Tooling

  • An overview of the AUTOSAR-compliant toolchain.
  • Utilizing modeling and configuration tools such as Vector, EB tresos, DaVinci, or equivalents.
  • Processes for code generation and deployment to target hardware.
  • Techniques for testing and debugging adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

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

Module 8: Practical Exercises and Project Work

  • Supervised practical exercises using AUTOSAR development tools.
  • Configuring and simulating ADAS components.
  • Mini-project: designing a basic Adaptive AUTOSAR application for a specific ADAS use case.

Conclusion and Recommended Next Steps

Requirements

  • Proficiency in C/C++ programming specifically for embedded systems.
  • A solid understanding of foundational automotive software principles.
  • Familiarity with microcontrollers, communication protocols, and real-time operating systems.

Target Audience

  • Automotive software developers and engineering specialists.
  • Embedded systems architects.
  • Software engineers focused on ADAS and autonomous vehicle technologies.

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