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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: Classic vs. Adaptive approaches
  • Structural layers of AUTOSAR architecture and core principles
  • Overview of ADAS systems and their integration with AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Fundamentals

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Workflow and tooling for configuration
  • Integration strategies for AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Essential Concepts

  • Introduction to the AUTOSAR Adaptive architecture
  • Design patterns and execution of Adaptive Applications (AA)
  • POSIX-based operating systems and Execution Management (EM)
  • 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 service interfaces
  • Inter-communication between Adaptive Applications
  • Integration with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Overview of ADAS functionalities and functional architecture
  • Challenges in sensor fusion and data communication
  • Incorporating ADAS algorithms within AUTOSAR Adaptive
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflow and Toolchains

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

Module 7: Advanced Topics and Best Practices

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

Module 8: Practical Application and Project Work

  • Supervised practical exercises using AUTOSAR development tools
  • Configuration and simulation of ADAS components
  • Capstone project: Designing a basic Adaptive AUTOSAR application for an ADAS use case

Conclusion and Future Directions

Requirements

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

Target Audience

  • Professional automotive software developers and engineers
  • Architects specializing in embedded systems
  • Software engineers focused on ADAS and autonomous vehicle technologies
 28 Hours

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