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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems.
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches.
  • Key concepts and architectural layers of AUTOSAR.
  • The relationship between ADAS systems and the AUTOSAR framework.

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Examining Basic Software (BSW) layers and the Runtime Environment (RTE).
  • Configuring ECUs and understanding communication mechanisms.
  • Exploring essential tools and configuration workflows.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • An introduction to the adaptive architecture model.
  • Designing and executing Adaptive Applications (AA).
  • The role of POSIX-based operating systems and Execution Management (EM).
  • Understanding Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Communication and Service-Oriented Architecture

  • Deep dive into SOME/IP, DDS, and ara::com.
  • Crafting and configuring efficient service interfaces.
  • Facilitating communication between distinct Adaptive Applications.
  • Interoperability with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Overview of ADAS capabilities and functional design.
  • Addressing challenges in sensor fusion and data transmission.
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework.
  • Analysis of real-world ADAS software architecture case studies.

Module 6: Development Workflows and Toolchains

  • Survey of the AUTOSAR-compliant tool ecosystem.
  • Utilizing modeling and configuration platforms (such as Vector, EB tresos, DaVinci, or equivalents).
  • Processes for code generation and hardware deployment.
  • Techniques for testing and debugging adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

  • Enhancing security and safety standards in AUTOSAR Adaptive and ADAS contexts.
  • Managing updates, diagnostics, and system monitoring in adaptive environments.
  • Optimizing real-time performance.
  • Emerging trends in automotive software architecture.

Module 8: Practical Application and Capstone Project

  • Supervised exercises utilizing AUTOSAR development tools.
  • Simulating and configuring ADAS components.
  • Capstone project: Designing a basic Adaptive AUTOSAR application for an ADAS scenario.

Conclusions and Future Pathways

Requirements

  • Proficiency in C/C++ programming for embedded systems.
  • A foundational grasp of core automotive software principles.
  • Familiarity with microcontrollers, communication protocols, and real-time operating systems.

Target Audience

  • Automotive software developers and engineers.
  • Embedded systems architects.
  • Software specialists in ADAS and autonomous vehicle technologies.
 28 Hours

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