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Course Outline

Module 1: Fundamentals of Automotive Software and AUTOSAR

  • Overview of embedded systems in automotive applications.
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches.
  • Key architectural layers and core concepts of AUTOSAR.
  • Understanding ADAS systems and their integration with AUTOSAR.

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Exploration of Basic Software (BSW) layers and the Runtime Environment (RTE).
  • ECU configuration strategies and communication mechanisms.
  • Essential tools and configuration workflows.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Introduction to the architecture of AUTOSAR Adaptive.
  • Design and execution principles for Adaptive Applications (AA).
  • Utilizing 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.
  • Architecting and configuring service interfaces.
  • Managing communication flows between Adaptive Applications.
  • Integration techniques for external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive in ADAS Development

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

Module 6: Development Workflows and Tooling

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

Module 7: Advanced Topics and Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS systems.
  • 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

  • Supervised practical exercises using AUTOSAR development tools.
  • Configuring and simulating ADAS components.
  • Mini-project: Architecting a basic Adaptive AUTOSAR application for a specific ADAS use case.

Recap and Path Forward

Requirements

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

Target Audience

  • Software developers and engineers specializing in automotive applications.
  • Architects working within embedded systems domains.
  • Professionals developing software for ADAS and autonomous vehicle technologies.
 28 Hours

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