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 Duration 28 hours

Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches
  • Exploring AUTOSAR architecture layers and fundamental concepts
  • Understanding ADAS systems and their integration with AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Workflows for configuration and associated tools
  • Integration strategies for AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Fundamentals

  • Overview of the AUTOSAR Adaptive architecture
  • Design principles 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

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

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and overview of ADAS features
  • Addressing challenges in sensor fusion and data communication
  • Incorporating ADAS algorithms within the AUTOSAR Adaptive framework
  • Analysis of real-world case studies in ADAS software architecture

Module 6: Development Workflow and Tools

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

Module 7: Advanced Topics and Best Practices

  • Addressing security and safety within AUTOSAR Adaptive and ADAS contexts
  • Managing updates, diagnostics, and monitoring in adaptive environments
  • Strategies for real-time performance optimization
  • Emerging trends in automotive software architecture

Module 8: Hands-On Practice and Project

  • Guided practical exercises utilizing AUTOSAR development tools
  • Simulation and configuration of ADAS components
  • Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case

Summary and Next Steps

Requirements

  • Proficiency in C/C++ programming for embedded systems
  • Familiarity with foundational automotive software concepts
  • Working knowledge of microcontrollers, communication protocols, and real-time systems

Target Audience

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

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