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Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The progression of AUTOSAR: comparing Classic and Adaptive approaches
  • Architectural layers of AUTOSAR and core principles
  • Understanding ADAS systems and their alignment with AUTOSAR

Module 2: AUTOSAR Classic Platform – Essential Concepts

  • Structure of Basic Software (BSW) and the Runtime Environment (RTE)
  • Configuring ECUs and managing communication pathways
  • Utilizing tools and managing configuration workflows
  • Integrating AUTOSAR Classic with legacy infrastructure

Module 3: AUTOSAR Adaptive Platform – Core Principles

  • Introduction to the architecture of AUTOSAR Adaptive
  • Designing and executing Adaptive Applications (AA)
  • Leveraging POSIX-based operating systems and Execution Management (EM)
  • Adaptive Platform Services (AP Services) and middleware for communication

Module 4: Service-Oriented Architecture and Communication

  • Exploring SOME/IP, DDS, and ara::com
  • Crafting and configuring service interfaces
  • Managing communication flows between Adaptive Applications
  • Interfacing with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Analysis of ADAS capabilities and functional architecture
  • Addressing challenges in sensor fusion and data exchange
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Examining real-world examples of ADAS software design

Module 6: Development Processes and Tooling

  • Overview of AUTOSAR-compliant toolchains
  • Using modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Generating code and deploying to target hardware
  • Validating and debugging adaptive applications

Module 7: Advanced Topics and Industry Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS contexts
  • Handling updates, diagnostics, and monitoring in adaptive setups
  • Optimizing real-time performance
  • Emerging trends in automotive software architecture

Module 8: Practical Application and Project Work

  • Structured practical exercises with AUTOSAR development tools
  • Configuring and simulating ADAS modules
  • Capstone project: Creating a basic Adaptive AUTOSAR application for an ADAS scenario

Conclusion and Future Directions

Requirements

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

Target Audience

  • Software engineers and developers specializing in automotive systems
  • Architects of embedded systems
  • Developers working on ADAS and autonomous vehicle software
 28 Hours

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