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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • The evolution of AUTOSAR: Comparing Classic vs. Adaptive
  • Core concepts within AUTOSAR architecture layers
  • The relationship between AUTOSAR and ADAS systems

Module 2: Core Concepts of the AUTOSAR Classic Platform

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Workflow optimization using configuration tools
  • Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Architectural principles of AUTOSAR Adaptive
  • Design patterns and execution models for Adaptive Applications (AA)
  • Role of POSIX-based operating systems and Execution Management (EM)
  • Adaptive Platform Services (AP Services) and communication middleware

Module 4: Service-Oriented Architecture and Communication

  • Protocols: SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Inter-application communication within the Adaptive Platform
  • Bridging integration with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in ADAS Development

  • Functional architecture and features of ADAS
  • Challenges in sensor fusion and high-volume data communication
  • Incorporating ADAS algorithms into the AUTOSAR Adaptive environment
  • Analysis of real-world ADAS software architecture case studies

Module 6: Development Workflows and Toolchains

  • Survey of AUTOSAR-compliant toolchains
  • Utilizing 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 Industry Best Practices

  • Enhancing security and safety in AUTOSAR Adaptive and ADAS
  • Management of updates, diagnostics, and monitoring in adaptive environments
  • Optimizing real-time performance metrics
  • 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: Architecting a simple Adaptive AUTOSAR application for a specific ADAS use case

Course Summary and Recommended Next Steps

Requirements

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

Target Audience

  • Automotive software developers and engineers
  • Architects specializing in embedded systems
  • Developers focused on ADAS and autonomous vehicle technologies

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