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Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Core concepts and layer structure of the AUTOSAR architecture
  • Linking ADAS systems with AUTOSAR frameworks

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Exploring Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuring ECUs and understanding communication mechanisms
  • Workflow and tools for configuration management
  • Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: Foundational Aspects of the AUTOSAR Adaptive Platform

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

Module 4: Communication and Service-Oriented Architecture

  • Detailed look at SOME/IP, DDS, and ara::com
  • Crafting and configuring service interfaces
  • Facilitating communication between Adaptive Applications
  • Integrating with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Understanding ADAS features and functional architecture
  • Addressing challenges in sensor fusion and data communication
  • Incorporating ADAS algorithms within the AUTOSAR Adaptive framework
  • Analyzing real-world case studies of ADAS software architectures

Module 6: Development Workflows and Tooling

  • Overview of AUTOSAR-compliant toolchains
  • Utilizing modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents)
  • Executing code generation and deployment on target hardware
  • Techniques for testing and debugging adaptive applications

Module 7: Advanced Topics and Industry Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS systems
  • Managing updates, diagnostics, and monitoring in adaptive environments
  • Optimizing real-time performance
  • Exploring future trends in automotive software architecture

Module 8: Practical Application and Project Work

  • Engaging in guided practical exercises with AUTOSAR development tools
  • Configuring and simulating ADAS components
  • Completing a mini-project: designing a basic Adaptive AUTOSAR application for an ADAS scenario

Summary and Recommendations for Next Steps

Requirements

  • Proficiency in C/C++ programming specifically 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 engineering professionals.
  • Architects specializing in embedded systems.
  • Developers working on ADAS and autonomous vehicle software.
 28 Hours

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