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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems in automotive contexts
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Exploring AUTOSAR architecture layers and fundamental concepts
  • The role of ADAS systems and their integration with AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Principles

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

Module 3: AUTOSAR Adaptive Platform – Fundamental Concepts

  • Overview of the AUTOSAR Adaptive architecture
  • 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

  • Protocols including SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Communication pathways between Adaptive Applications
  • Integration with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Functional architecture and feature overview of ADAS
  • 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 Tooling

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

Module 7: Advanced Topics and Industry Best Practices

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

Module 8: Practical Application and Project Work

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

Summary and Future Steps

Requirements

  • Proficiency in C/C++ programming for embedded systems
  • Foundational knowledge of automotive software concepts
  • Understanding of microcontrollers, communication protocols, and real-time systems

Target Audience

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

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