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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Architectural layers and core concepts within AUTOSAR
  • The relationship between ADAS systems and the AUTOSAR framework

Module 2: AUTOSAR Classic Platform – Core Principles

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

Module 3: AUTOSAR Adaptive Platform – Essentials

  • Introduction to the AUTOSAR Adaptive architectural model
  • Design and execution patterns for 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

  • Key technologies: SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Inter-communication between Adaptive Applications
  • Integrating with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and overview of ADAS capabilities
  • Addressing sensor fusion and data communication challenges
  • Implementing ADAS algorithms within AUTOSAR Adaptive frameworks
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflow and Tooling

  • Overview of AUTOSAR-compliant toolchains
  • Utilizing modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Processes for code generation and deployment to 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: Practical Application and Project Work

  • Supervised practical exercises using AUTOSAR development tools
  • Configuration and simulation of ADAS components
  • Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case

Summary and Recommended Next Steps

Requirements

  • Proficiency in C/C++ programming for embedded systems
  • A solid grasp of fundamental automotive software concepts
  • Working knowledge of microcontrollers, communication protocols, and real-time systems

Target Audience

  • Automotive software developers and engineers
  • Architects specializing in embedded systems
  • Developers focused on ADAS and autonomous vehicle software

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