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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches
  • AUTOSAR architectural layers and core principles
  • Introduction to ADAS systems and their alignment with AUTOSAR standards

Module 2: AUTOSAR Classic Platform – Essential Concepts

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Toolchains and configuration workflows
  • Integrating AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Foundations

  • Introduction to the AUTOSAR Adaptive architecture
  • Design 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

  • Protocols and technologies: SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Facilitating communication between Adaptive Applications
  • Interoperability with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive in ADAS Development

  • Overview of ADAS features and functional architecture
  • Challenges in sensor fusion and data communication
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework
  • Real-world case studies of ADAS software architectures

Module 6: Development Workflows and Tooling

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

Module 7: Advanced Topics and Best Practices

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

Module 8: Practical Application and Capstone Project

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

Summary and Future Directions

Requirements

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

Target Audience

  • Automotive software developers and engineers
  • Embedded systems architects
  • Software engineers specializing in ADAS and autonomous vehicles
 28 Hours

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