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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems within the automotive sector
  • The evolution of AUTOSAR: contrasting Classic and Adaptive approaches
  • Key concepts and architectural layers of AUTOSAR
  • Understanding ADAS systems and their interplay with AUTOSAR

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • Mechanisms for ECU configuration and data communication
  • Workflows and tooling for configuration
  • Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Introduction to the architectural design of AUTOSAR Adaptive
  • Design principles and execution models for Adaptive Applications (AA)
  • POSIX-based operating systems and the role of Execution Management (EM)
  • Adaptive Platform Services (AP Services) and communication middleware

Module 4: Service-Oriented Architecture and Communication

  • Protocols and standards including SOME/IP, DDS, and ara::com
  • Configuring and designing service interfaces
  • Facilitating communication between different Adaptive Applications
  • Integration strategies with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Functional architecture and feature overview of ADAS
  • Addressing challenges in sensor fusion and data communication
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Analysis of real-world case studies on ADAS software architecture

Module 6: Development Workflows and Toolchains

  • Overview of AUTOSAR-compliant toolchains
  • 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 Industry Best Practices

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

Module 8: Practical Application and Capstone Project

  • Guided hands-on exercises using AUTOSAR development tools
  • Simulating and configuring ADAS components
  • Mini-project: Developing a simple Adaptive AUTOSAR application for a specific ADAS scenario

Course Summary and Recommended Next Steps

Requirements

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

Target Audience

  • Automotive software engineers and developers
  • Embedded systems architects
  • Specialists in ADAS and autonomous vehicle software development
 28 Hours

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