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Course Outline

Module 1: Introduction to Automotive Software and AUTOSAR

  • An overview of automotive embedded systems.
  • The evolution of AUTOSAR: comparing Classic and Adaptive platforms.
  • Exploring AUTOSAR architecture layers and core concepts.
  • Understanding ADAS systems and their integration with AUTOSAR.

Module 2: AUTOSAR Classic Platform – Core Concepts

  • Basic Software (BSW) layers and the Runtime Environment (RTE).
  • ECU configuration and communication mechanisms.
  • Toolchains 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).
  • POSIX-based operating systems and Execution Management (EM).
  • Adaptive Platform Services (AP Services) and communication middleware.

Module 4: Communication and Service-Oriented Architecture

  • Technologies including SOME/IP, DDS, and ara::com.
  • Designing and configuring service interfaces.
  • Facilitating communication between Adaptive Applications.
  • Integration strategies for external ECUs and the Classic Platform.

Module 5: AUTOSAR Adaptive in ADAS Development

  • An 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 Workflow and Tools

  • An overview of AUTOSAR-compliant toolchains.
  • Modelling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalent).
  • Code generation and deployment onto target hardware.
  • Testing and debugging techniques for adaptive applications.

Module 7: Advanced Topics and Best Practices

  • Security and safety considerations in AUTOSAR Adaptive and ADAS.
  • Managing updates, diagnostics, and monitoring in adaptive environments.
  • Optimising real-time performance.
  • Emerging trends in automotive software architecture.

Module 8: Hands-On Practice and Project

  • Guided practical exercises using AUTOSAR development tools.
  • Configuration and simulation of 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 understanding of fundamental automotive software principles.
  • Familiarity with microcontrollers, communication protocols, and real-time operating systems.

Target Audience

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

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Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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