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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • An overview of embedded systems in the automotive sector.
  • The evolution of AUTOSAR: contrasting Classic and Adaptive approaches.
  • Exploring the architectural layers and fundamental concepts of AUTOSAR.
  • Understanding ADAS systems and their integration with the AUTOSAR framework.

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and the Role of 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: AUTOSAR Adaptive Platform – Fundamentals

  • An introduction to the AUTOSAR Adaptive architecture.
  • Designing and executing Adaptive Applications (AA).
  • The role of 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.
  • Designing and configuring service interfaces effectively.
  • Managing communication between different Adaptive Applications.
  • Integrating with external ECUs and the Classic Platform.

Module 5: AUTOSAR Adaptive in ADAS Development

  • An overview of ADAS features and functional architecture.
  • Addressing sensor fusion and data communication challenges.
  • Integrating ADAS algorithms within the AUTOSAR Adaptive framework.
  • Analyzing real-world case studies of ADAS software architectures.

Module 6: Development Workflow and Tools

  • A comprehensive overview of the AUTOSAR-compliant toolchain.
  • 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 within AUTOSAR Adaptive and ADAS environments.
  • Managing updates, diagnostics, and monitoring in adaptive systems.
  • Strategies for optimizing real-time performance.
  • Exploring future trends in automotive software architecture.

Module 8: Hands-On Practice and Project

  • Guided practical exercises using AUTOSAR development tools.
  • Configuring and simulating ADAS components.
  • Mini-project: designing a simple Adaptive AUTOSAR application for an ADAS use case.

Summary and Next Steps

Requirements

  • Proficiency in C/C++ programming for embedded systems.
  • A solid grasp of fundamental automotive software principles.
  • Working knowledge of microcontrollers, communication protocols, and real-time systems.

Target Audience

  • Automotive software developers and engineers.
  • Embedded systems architects.
  • Professionals specializing in ADAS and autonomous vehicle software.
 28 Hours

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