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 Duration 28 hours

Course Outline

Module 1: Foundational Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: comparing Classic and Adaptive standards
  • Understanding AUTOSAR architectural layers and core principles
  • Overview of ADAS systems and their connection to AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Principles

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Tooling and configuration workflows
  • Integrating AUTOSAR Classic with legacy systems

Module 3: AUTOSAR Adaptive Platform – Basics

  • Introduction to the AUTOSAR Adaptive architecture
  • Design and execution of 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

  • Overview of SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Inter-communication between Adaptive Applications
  • Integration with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Overview of ADAS features and functional architecture
  • Challenges in sensor fusion and data communication
  • Incorporating ADAS algorithms into AUTOSAR Adaptive
  • Real-world case studies of ADAS software architectures

Module 6: Development Workflows and Tooling

  • Overview of AUTOSAR-compliant toolchains
  • Modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Code generation and deployment on target hardware
  • Testing and debugging adaptive applications

Module 7: Advanced Topics and Best Practices

  • Security and safety considerations in AUTOSAR Adaptive and ADAS
  • 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 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 tailored for embedded systems
  • Foundational understanding of automotive software principles
  • Working knowledge of microcontrollers, communication protocols, and real-time systems

Target Audience

  • Software developers and engineers in the automotive sector
  • Architects specializing in embedded systems
  • Developers working on ADAS and autonomous vehicle technologies

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