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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: Comparing Classic and Adaptive platforms
  • Architectural layers of AUTOSAR and core concepts
  • The role of ADAS systems and their connection to AUTOSAR

Module 2: Core Concepts of the AUTOSAR Classic Platform

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

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • An introduction to the architecture of AUTOSAR Adaptive
  • Design and execution of Adaptive Applications (AA)
  • POSIX-based operating systems and Execution Management (EM)
  • Adaptive Platform Services (AP Services) and communication middleware

Module 4: Communication and Service-Oriented Architecture

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

Module 5: Leveraging AUTOSAR Adaptive for ADAS Development

  • Overview of ADAS functionalities and functional architecture
  • Addressing challenges in sensor fusion and data communication
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflows and Toolchains

  • Survey of AUTOSAR-compliant toolchains
  • Utilizing modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents)
  • Processes for code generation and deployment to target hardware
  • Methods for testing and debugging adaptive applications

Module 7: Advanced Topics and Industry Best Practices

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

Module 8: Practical Application and Capstone Project

  • Supervised practical exercises utilizing AUTOSAR development tools
  • Configuration and simulation of ADAS components
  • Capstone 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 for embedded systems
  • A solid grasp of fundamental automotive software principles
  • Working knowledge of microcontrollers, communication protocols, and real-time systems

Target Audience

  • Software developers and engineers specializing in the automotive sector
  • Architects working with embedded systems
  • Developers focused on ADAS and autonomous vehicle software

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