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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems in the automotive sector
  • The evolution of AUTOSAR: Comparing Classic and Adaptive
  • Key concepts and layers within the AUTOSAR architecture
  • The role of ADAS systems in relation to AUTOSAR

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuring ECUs and establishing communication mechanisms
  • Exploring tools and configuration workflows
  • Integrating AUTOSAR Classic with legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Introduction to 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: Service-Oriented Architecture and Communication

  • Protocols such as SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Communication strategies between Adaptive Applications
  • Interoperability with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Overview of ADAS features and functional architectures
  • Addressing sensor fusion and data communication challenges
  • Incorporating ADAS algorithms into the AUTOSAR Adaptive framework
  • Case studies on real-world ADAS software architectures

Module 6: Development Workflows and Tooling

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

Module 7: Advanced Topics and Best Practices

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

Module 8: Hands-On Practice and Capstone Project

  • Guided practical exercises using AUTOSAR development tools
  • Simulating and configuring 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 principles
  • Working familiarity with microcontrollers, communication protocols, and real-time operating systems

Target Audience

  • Automotive software developers and engineering professionals
  • Architects specializing in embedded systems
  • Developers working on ADAS and autonomous vehicle software

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