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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • An introduction to automotive embedded systems.
  • The evolution of AUTOSAR: Comparing Classic and Adaptive approaches.
  • Understanding the architectural layers and core concepts of AUTOSAR.
  • An overview of ADAS systems and their integration with AUTOSAR.

Module 2: Core Concepts of the AUTOSAR Classic Platform

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

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • An introduction to the design and philosophy of the AUTOSAR Adaptive architecture.
  • Designing and executing Adaptive Applications (AA).
  • Utilizing POSIX-based operating systems and Execution Management (EM).
  • Working with Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Service-Oriented Architecture and Communication

  • Key protocols: SOME/IP, DDS, and ara::com.
  • Designing and configuring service interfaces.
  • Managing communication between Adaptive Applications.
  • Interoperability with external ECUs and the Classic Platform.

Module 5: AUTOSAR Adaptive in ADAS Development

  • An overview of ADAS features and their functional architecture.
  • Addressing challenges in sensor fusion and data communication.
  • Incorporating ADAS algorithms into the AUTOSAR Adaptive framework.
  • Analysis of real-world case studies regarding ADAS software architecture.

Module 6: Development Workflows and Tooling

  • Survey of the AUTOSAR-compliant toolchain.
  • Using modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalent).
  • 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 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

  • Guided exercises using standard AUTOSAR development tools.
  • Configuration and simulation of specific ADAS components.
  • Mini-project: Developing a basic Adaptive AUTOSAR application for an ADAS use case.

Course Summary and Recommended Next Steps

Requirements

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

Target Audience

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

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