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 Duration 28 hours

Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Foundations of automotive embedded systems
  • The evolution of AUTOSAR: contrasting Classic and Adaptive approaches
  • Key concepts and architectural layers of AUTOSAR
  • The relationship between ADAS systems and AUTOSAR standards

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Understanding Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Workflow and tools for configuration
  • Integrating AUTOSAR Classic with existing legacy systems

Module 3: AUTOSAR Adaptive Platform – Fundamentals

  • An introduction to the AUTOSAR Adaptive architecture
  • Design and execution principles for 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

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

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and key features of ADAS
  • Challenges in sensor fusion and data communication
  • Incorporating ADAS algorithms into the AUTOSAR Adaptive framework
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflow and Tools

  • Survey of AUTOSAR-compliant toolchains
  • Modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Code generation and deployment processes on target hardware
  • Testing and debugging methodologies for adaptive applications

Module 7: Advanced Topics and Best Practices

  • Security and safety considerations in AUTOSAR Adaptive and ADAS
  • Diagnostics, monitoring, and update mechanisms in adaptive environments
  • Strategies for real-time performance optimization
  • Emerging trends in automotive software architecture

Module 8: Hands-On Practice and Project

  • Supervised practical exercises using AUTOSAR development tools
  • Simulating and configuring ADAS components
  • Capstone project: designing a basic Adaptive AUTOSAR application for an ADAS scenario

Summary and 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 operating systems

Target Audience

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

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