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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Overview of automotive embedded systems.
  • Evolution of AUTOSAR: Classic vs. Adaptive.
  • AUTOSAR architecture layers and key concepts.
  • Overview of ADAS systems and their relation to AUTOSAR.

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and Runtime Environment (RTE).
  • ECU configuration and communication mechanisms.
  • Tools and configuration workflows.
  • Integrating AUTOSAR Classic with legacy systems.

Module 3: AUTOSAR Adaptive Platform – Fundamentals

  • Introduction to AUTOSAR Adaptive architecture.
  • Adaptive Application (AA) design and execution.
  • POSIX-based operating systems and the Execution Management (EM).
  • Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Communication and Service-Oriented Architecture

  • SOME/IP, DDS, and ara::com.
  • Design and configuration of service interfaces.
  • Communication between Adaptive Applications.
  • Integration with external ECUs and Classic Platform.

Module 5: AUTOSAR Adaptive in ADAS Development

  • Overview of ADAS features and functional architecture.
  • Sensor fusion and data communication challenges.
  • Integration of ADAS algorithms in AUTOSAR Adaptive.
  • Real-world case studies of ADAS software architecture.

Module 6: Development Workflow and Tools

  • AUTOSAR-compliant toolchain overview.
  • Modelling and configuration tools (e.g., Vector, EB tresos, DaVinci, or similar).
  • Code generation and deployment on target hardware.
  • Testing and debugging adaptive applications.

Module 7: Advanced Topics and Best Practices

  • Security and safety in AUTOSAR Adaptive and ADAS.
  • Updates, diagnostics, and monitoring in adaptive environments.
  • Real-time performance optimisation.
  • Future trends in automotive software architecture.

Module 8: Hands-On Practice and Project

  • Guided practical exercises using AUTOSAR development tools.
  • Configuration and simulation of ADAS components.
  • Mini-project: designing a simple Adaptive AUTOSAR application for an ADAS use case.

Summary and Next Steps

Requirements

  • Experience in C/C++ programming for embedded systems.
  • Understanding of basic automotive software concepts.
  • Familiarity with microcontrollers, communication protocols, and real-time systems.

Audience

  • Automotive software developers and engineers.
  • Embedded systems architects.
  • ADAS and autonomous vehicle software developers.
 28 Hours

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  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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Price per private group, online live training, starting from 5200 € + VAT*

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