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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems within the automotive sector.
  • Evolution of AUTOSAR: comparing Classic and Adaptive approaches.
  • Core architectural layers and fundamental concepts of AUTOSAR.
  • The role of ADAS systems and their integration with AUTOSAR.

Module 2: Core Principles of the AUTOSAR Classic Platform

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

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • An introduction to the AUTOSAR Adaptive architectural model.
  • 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.

Module 4: Communication and Service-Oriented Architecture

  • Detailed look at SOME/IP, DDS, and ara::com.
  • Designing and configuring service interfaces.
  • Inter-process communication between Adaptive Applications.
  • Integration strategies with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Analysis of ADAS features and functional architecture.
  • Challenges in sensor fusion and high-bandwidth data communication.
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework.
  • Examination of real-world ADAS software architecture case studies.

Module 6: Development Workflows and Toolchains

  • Overview of the AUTOSAR-compliant tool ecosystem.
  • Utilization of modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents).
  • Processes for code generation and hardware deployment.
  • Techniques for testing and debugging adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS contexts.
  • Handling updates, diagnostics, and monitoring in adaptive environments.
  • Strategies for real-time performance optimization.
  • Emerging trends shaping the future of automotive software architecture.

Module 8: Practical Application and Capstone Project

  • Guided exercises using professional AUTOSAR development tools.
  • Simulating and configuring ADAS components in a controlled environment.
  • Capstone project: Designing a basic Adaptive AUTOSAR application for a specific ADAS scenario.

Conclusion and Recommended Next Steps

Requirements

  • Proficiency in C/C++ programming tailored for embedded systems.
  • Fundamental understanding of automotive software engineering concepts.
  • Working knowledge of microcontrollers, communication protocols, and real-time operating systems.

Target Audience

  • Automotive software engineers and developers.
  • Architects specializing in embedded systems.
  • Developers focused on ADAS and autonomous vehicle software solutions.

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