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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • The landscape of automotive embedded systems
  • The progression from AUTOSAR Classic to Adaptive architectures
  • Deconstructing AUTOSAR architectural layers and core principles
  • The role of ADAS systems and their integration with AUTOSAR

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Exploring the Basic Software (BSW) stack and the Runtime Environment (RTE)
  • Configuring ECUs and managing communication strategies
  • Navigating toolchains and configuration workflows
  • Strategy for integrating AUTOSAR Classic with existing legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • An introduction to the AUTOSAR Adaptive architectural model
  • Designing and managing Adaptive Applications (AA)
  • The role of POSIX-based operating systems and Execution Management (EM)
  • Leveraging Adaptive Platform Services (AP Services) and communication middleware

Module 4: Communication and Service-Oriented Architectures

  • Implementing SOME/IP, DDS, and ara::com
  • Architecting and configuring service interfaces
  • Facilitating communication between distinct Adaptive Applications
  • Interoperability with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in the Context of ADAS

  • Analyzing ADAS feature sets and functional architecture
  • Addressing sensor fusion and data communication complexities
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Case study analysis of real-world ADAS software architectures

Module 6: Development Workflows and Toolchains

  • Surveying the AUTOSAR-compliant tool ecosystem
  • Utilizing modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Generating code and deploying to target hardware
  • Strategies for testing and debugging adaptive applications

Module 7: Advanced Topics and Industry Best Practices

  • Enhancing security and safety in AUTOSAR Adaptive and ADAS systems
  • Managing updates, diagnostics, and system monitoring in adaptive contexts
  • Optimizing real-time performance
  • Emerging trends and future directions in automotive software architecture

Module 8: Practical Application and Project Work

  • Supervised hands-on exercises leveraging AUTOSAR development tools
  • Simulating and configuring ADAS components
  • Capstone mini-project: Architecting a basic Adaptive AUTOSAR application for a specific ADAS scenario

Recap and Recommended Next Steps

Requirements

  • Solid proficiency in C/C++ programming specifically for embedded applications
  • Foundational knowledge of automotive software fundamentals
  • Working understanding of microcontrollers, communication protocols, and real-time operating systems

Target Audience

  • Automotive software engineers and developers
  • Embedded systems architects
  • Professionals specializing in ADAS and autonomous vehicle software development

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