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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • Overview of embedded systems in the automotive sector
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Key concepts and architectural layers of AUTOSAR
  • The role of ADAS systems and their integration with AUTOSAR

Module 2: Core Concepts of the AUTOSAR Classic Platform

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

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Introduction to the AUTOSAR Adaptive architecture
  • Design principles and execution models for 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

  • Protocols such as SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Inter-app communication within Adaptive Applications
  • Interfacing with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and feature overview of ADAS
  • Addressing challenges in sensor fusion and data communication
  • Embedding ADAS algorithms within AUTOSAR Adaptive frameworks
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflow and Tooling

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

Module 7: Advanced Topics and Best Practices

  • Safety and security considerations in AUTOSAR Adaptive and ADAS
  • Managing updates, diagnostics, and monitoring in adaptive environments
  • Optimization techniques for real-time performance
  • Emerging trends in automotive software architecture

Module 8: Hands-On Practice and Project Work

  • Guided practical exercises utilizing AUTOSAR development tools
  • Configuration and simulation of ADAS components
  • Mini-project: Designing a simple Adaptive AUTOSAR application for an ADAS use case

Summary and Next Steps

Requirements

  • Proficiency in C/C++ programming specifically for embedded systems
  • Foundational knowledge of automotive software concepts
  • Working familiarity with microcontrollers, communication protocols, and real-time operating systems

Target Audience

  • Automotive software developers and engineers
  • Embedded systems architects
  • Specialists in ADAS and autonomous vehicle software development
 28 Hours

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