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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • Evolution of AUTOSAR: Classic versus Adaptive
  • AUTOSAR architecture layers and core concepts
  • Overview of ADAS systems and their relationship to AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and the 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 the AUTOSAR Adaptive architecture
  • Design and execution of Adaptive Applications (AA)
  • 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 the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Overview of ADAS features and functional architecture
  • Challenges in sensor fusion and data communication
  • Integration of ADAS algorithms within AUTOSAR Adaptive
  • Real-world case studies of ADAS software architecture

Module 6: Development Workflow and Tools

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

Module 7: Advanced Topics and Best Practices

  • Security and safety considerations in AUTOSAR Adaptive and ADAS
  • Updates, diagnostics, and monitoring in adaptive environments
  • Optimization of real-time performance
  • Emerging 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 with C/C++ programming for embedded systems
  • Understanding of fundamental automotive software concepts
  • Familiarity with microcontrollers, communication protocols, and real-time systems

Audience

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

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