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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches
  • Key concepts and architectural layers of AUTOSAR
  • Understanding ADAS systems and their connection to AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuring ECUs and managing communication mechanisms
  • Configuration workflows and associated tools
  • Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Fundamentals

  • Introduction to the architecture of AUTOSAR Adaptive
  • 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

  • Protocols including SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Facilitating communication between Adaptive Applications
  • Integration with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Exploring ADAS features and functional architecture
  • Addressing sensor fusion and data communication challenges
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework
  • Case studies on real-world ADAS software architectures

Module 6: Development Workflow and Tools

  • Overview of the AUTOSAR-compliant toolchain
  • Modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents)
  • Code generation and deployment processes on target hardware
  • Techniques for testing and debugging adaptive applications

Module 7: Advanced Topics and Best Practices

  • 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

  • Guided practical exercises leveraging AUTOSAR development tools
  • Configuring and simulating ADAS components
  • Mini-project: Designing a basic Adaptive AUTOSAR application for a specific ADAS use case

Summary and Next Steps

Requirements

  • Practical experience in C/C++ programming for embedded systems
  • Foundational knowledge of automotive software concepts
  • Familiarity with microcontrollers, communication protocols, and real-time operating systems

Target Audience

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

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