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Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • Landscape of automotive embedded systems
  • Evolution of AUTOSAR: Comparing Classic and Adaptive approaches
  • Architectural layers and core concepts within AUTOSAR
  • Relationship between ADAS systems and the AUTOSAR framework

Module 2: AUTOSAR Classic Platform – Core Principles

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Configuration of ECUs and communication strategies
  • Workflow management and tooling considerations
  • Integration of AUTOSAR Classic with existing legacy systems

Module 3: AUTOSAR Adaptive Platform – Essentials

  • Introduction to the adaptive architecture model
  • Design patterns and execution models for Adaptive Applications (AA)
  • Role of POSIX-based operating systems and Execution Management (EM)
  • Adaptive Platform Services (AP Services) and middleware for communication

Module 4: Communication and Service-Oriented Design

  • Protocols such as SOME/IP, DDS, and ara::com
  • Defining and configuring service interfaces
  • Inter-process communication among Adaptive Applications
  • Connectivity with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS

  • Functional architecture and feature set of ADAS
  • Challenges in sensor fusion and data exchange
  • Incorporating ADAS algorithms within the AUTOSAR Adaptive framework
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflows and Tooling

  • Overview of the AUTOSAR-compliant toolchain
  • Modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Automated code generation and deployment to target hardware
  • Debugging and testing adaptive applications

Module 7: Advanced Topics and Industry Best Practices

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

Module 8: Practical Application and Project Work

  • Guided exercises utilizing AUTOSAR development tools
  • Simulation and configuration of ADAS components
  • Capstone project: Designing a basic Adaptive AUTOSAR application for a specific ADAS scenario

Conclusions and Recommendations for Next Steps

Requirements

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

Intended Audience

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

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