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Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • An overview of automotive embedded systems.
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches.
  • Exploring AUTOSAR architecture layers and foundational concepts.
  • Understanding ADAS systems and their integration with AUTOSAR.

Module 2: Core Concepts of the AUTOSAR Classic Platform

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

Module 3: Foundations of the AUTOSAR Adaptive Platform

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

Module 4: Communication and Service-Oriented Architecture

  • Deep dives into SOME/IP, DDS, and ara::com.
  • Designing and configuring effective service interfaces.
  • Facilitating communication between Adaptive Applications.
  • Integrating with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

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

Module 6: Development Workflows and Essential Tools

  • Surveying the AUTOSAR-compliant toolchain.
  • Using modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents).
  • Executing code generation and deployment on target hardware.
  • Testing and debugging adaptive applications effectively.

Module 7: Advanced Topics and Industry Best Practices

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

Module 8: Practical Application and Project Work

  • Completing guided practical exercises with AUTOSAR development tools.
  • Configuring and simulating ADAS components.
  • Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case.

Course Summary and Recommended Next Steps

Requirements

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

Target Audience

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

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