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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The progression of AUTOSAR: Comparing Classic and Adaptive approaches
  • Architectural layers and core principles of AUTOSAR
  • Linking ADAS systems with the AUTOSAR framework

Module 2: Core Principles of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuring ECUs and understanding communication mechanisms
  • Navigating tooling and configuration workflows
  • Bridging AUTOSAR Classic with legacy systems

Module 3: Getting Started with the AUTOSAR Adaptive Platform

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

Module 4: Service-Oriented Architecture and Communication

  • Protocols including SOME/IP, DDS, and ara::com
  • Crafting and setting up service interfaces
  • Facilitating communication between Adaptive Applications
  • Connecting with external ECUs and the Classic Platform

Module 5: Leveraging AUTOSAR Adaptive for ADAS Development

  • Examining ADAS functionalities and functional architecture
  • Addressing challenges in sensor fusion and data communication
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Analyzing real-world case studies of ADAS software architecture

Module 6: Development Workflows and Tooling

  • Reviewing the AUTOSAR-compliant toolchain
  • Using modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents)
  • Generating code and deploying to target hardware
  • Testing and debugging adaptive applications

Module 7: Advanced Concepts and Best Practices

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

Module 8: Practical Application and Project Work

  • Structured practical exercises with AUTOSAR development tools
  • Configuring and simulating ADAS components
  • Mini-project: Architecting a basic Adaptive AUTOSAR application for a specific ADAS scenario

Recap and Future Directions

Requirements

  • Proficiency in C/C++ programming for embedded systems
  • A solid grasp of fundamental automotive software concepts
  • Knowledge of microcontrollers, communication protocols, and real-time systems

Target Audience

  • Automotive software developers and engineers
  • Architects specializing in embedded systems
  • Developers focused on ADAS and autonomous vehicle software
 28 Hours

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