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Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems in the automotive sector
  • The evolution of AUTOSAR: contrasting Classic and Adaptive approaches
  • Key concepts and architectural layers of AUTOSAR
  • The role of ADAS systems in relation to AUTOSAR standards

Module 2: AUTOSAR Classic Platform – Core Principles

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

Module 3: AUTOSAR Adaptive Platform – Fundamentals

  • Introduction to the architectural design of AUTOSAR Adaptive
  • Design patterns and execution logic for 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

  • Protocols such as SOME/IP, DDS, and ara::com
  • Defining and configuring service interfaces
  • Inter-app communication within the Adaptive Platform
  • Interoperability with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Functional architecture and features of ADAS
  • Addressing challenges in sensor fusion and data communication
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Case studies analyzing real-world ADAS software architectures

Module 6: Development Workflows and Toolchains

  • Survey of AUTOSAR-compliant toolchains
  • Modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalent)
  • Code generation and deployment to target hardware
  • Testing and debugging strategies for adaptive applications

Module 7: Advanced Topics and Industry Best Practices

  • Security and safety considerations in AUTOSAR Adaptive and ADAS
  • Diagnostics, monitoring, and update mechanisms in adaptive environments
  • Optimizing real-time performance
  • Emerging trends in automotive software architecture

Module 8: Practical Application and Project Work

  • Guided exercises using AUTOSAR development tools
  • Simulating and configuring ADAS components
  • Mini-project: Architecting a basic Adaptive AUTOSAR application for an ADAS use case

Conclusion and Path Forward

Requirements

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

Target Audience

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

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