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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems.
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches.
  • Core concepts and architectural layers of AUTOSAR.
  • The connection between AUTOSAR and ADAS systems.

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE).
  • Mechanisms for ECU configuration and communication.
  • Workflow and tooling for configuration.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Overview of the AUTOSAR Adaptive architecture.
  • Execution and design of Adaptive Applications (AA).
  • Role of POSIX-based operating systems and Execution Management (EM).
  • Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Service-Oriented Architecture and Communication

  • Protocols and frameworks including SOME/IP, DDS, and ara::com.
  • Configuring and designing service interfaces.
  • Enabling communication between Adaptive Applications.
  • Interfacing with external ECUs and the Classic Platform.

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and overview of ADAS features.
  • Addressing challenges in sensor fusion and data communication.
  • Incorporating ADAS algorithms within AUTOSAR Adaptive.
  • Real-world case studies illustrating ADAS software architectures.

Module 6: Development Workflows and Tooling

  • Overview of the AUTOSAR-compliant toolchain.
  • Configuration and modeling tools (such as Vector, EB tresos, DaVinci, etc.).
  • Deploying generated code onto target hardware.
  • Debugging and testing adaptive applications.

Module 7: Best Practices and Advanced Topics

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

Module 8: Hands-On Practice and Project Work

  • Guided practical exercises leveraging AUTOSAR development tools.
  • Simulating and configuring ADAS components.
  • Mini-project: Designing a basic Adaptive AUTOSAR application for an ADAS scenario.

Conclusion and Recommended Next Steps

Requirements

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

Target Audience

  • Software developers and engineers in the automotive sector.
  • Architects specializing in embedded systems.
  • Developers working on ADAS and autonomous vehicle software.
 28 Hours

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