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 Duration 28 hours

Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • An introduction to embedded systems in the automotive industry
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Key concepts and hierarchical layers of the AUTOSAR architecture
  • The role of ADAS systems and their interaction with AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Principles

  • Structure of Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuring ECUs and managing communication mechanisms
  • Standard tools and effective configuration workflows
  • Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Essentials

  • An introduction to the structural design of AUTOSAR Adaptive
  • Designing and executing Adaptive Applications (AA)
  • Role of POSIX-based operating systems and Execution Management (EM)
  • Overview of Adaptive Platform Services (AP Services) and communication middleware

Module 4: Communication and Service-Oriented Architecture

  • Deep dive into SOME/IP, DDS, and ara::com
  • Designing and configuring robust service interfaces
  • Managing communication flows between Adaptive Applications
  • Interoperability with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Overview of key ADAS features and functional architectures
  • Addressing challenges in sensor fusion and data communication
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework
  • Analysis of real-world case studies in ADAS software design

Module 6: Development Workflows and Tooling

  • Survey of the AUTOSAR-compliant toolchain ecosystem
  • 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 Concepts and Best Practices

  • Enhancing security and safety within AUTOSAR Adaptive and ADAS contexts
  • Managing updates, diagnostics, and monitoring in adaptive systems
  • Optimizing real-time performance metrics
  • Emerging trends in future automotive software architectures

Module 8: Practical Application and Project Work

  • Guided exercises utilizing professional AUTOSAR development environments
  • Configuring and simulating various ADAS components
  • Capstone project: designing a basic Adaptive AUTOSAR application for a specific ADAS scenario

Course Recap and Future Directions

Requirements

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

Target Audience

  • Software developers and engineers specializing in automotive applications
  • Architects of embedded systems
  • Developers focused on ADAS and autonomous vehicle technologies

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