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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Fundamentals of automotive embedded systems.
  • The progression of AUTOSAR: comparing Classic and Adaptive standards.
  • Detailed examination of AUTOSAR architectural layers and core principles.
  • The role of ADAS systems and their integration with AUTOSAR frameworks.

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Structure of Basic Software (BSW) layers and the Runtime Environment (RTE).
  • Configuring ECUs and managing communication mechanisms.
  • Utilization of tools and standard configuration workflows.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Overview of the AUTOSAR Adaptive architectural model.
  • Designing and executing Adaptive Applications (AA).
  • Implementation of POSIX-based operating systems and Execution Management (EM).
  • Managing Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Service-Oriented Architecture and Communication

  • Examination of SOME/IP, DDS, and ara::com technologies.
  • Configuration and design of service interfaces.
  • Establishing communication links between Adaptive Applications.
  • Interfacing with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

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

Module 6: Development Workflows and Toolchains

  • Survey of AUTOSAR-compliant toolchains.
  • Use of modeling and configuration platforms such as Vector, EB tresos, DaVinci, or equivalent solutions.
  • Processes for code generation and deployment to target hardware.
  • Techniques for testing and debugging adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS contexts.
  • Managing updates, diagnostics, and monitoring within adaptive environments.
  • Strategies for optimizing real-time performance.
  • Emerging trends in automotive software architecture.

Module 8: Practical Application and Capstone Project

  • Supervised exercises utilizing AUTOSAR development tools.
  • Simulation and configuration of ADAS-specific components.
  • Mini-project: Developing a basic Adaptive AUTOSAR application for a specific ADAS scenario.

Course Summary and Future Directions

Requirements

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

Target Audience

  • Automotive software engineers and developers.
  • Architects specializing in embedded systems.
  • Developers focused on ADAS and autonomous vehicle technologies.
 28 Hours

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