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 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems
  • The evolution of AUTOSAR: comparing Classic and Adaptive approaches
  • Key concepts and layers within the AUTOSAR architecture
  • The role of ADAS systems in the context of AUTOSAR

Module 2: AUTOSAR Classic Platform – Core Principles

  • Basic Software (BSW) layers and the Runtime Environment (RTE)
  • ECU configuration strategies and communication mechanisms
  • Workflows for configuration and supporting tools
  • Integrating AUTOSAR Classic with existing legacy systems

Module 3: AUTOSAR Adaptive Platform – Essential Fundamentals

  • Introduction to the architecture of AUTOSAR Adaptive
  • Designing and executing Adaptive Applications (AA)
  • The use of POSIX-based operating systems and Execution Management (EM)
  • Adaptive Platform Services (AP Services) and communication middleware

Module 4: Service-Oriented Architecture and Communication

  • Exploring SOME/IP, DDS, and ara::com
  • Configuring and designing service interfaces
  • Facilitating communication between various Adaptive Applications
  • 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
  • Integrating ADAS algorithms into the AUTOSAR Adaptive framework
  • Case studies illustrating real-world ADAS software architecture

Module 6: Development Workflows and Tooling

  • 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
  • Strategies for testing and debugging adaptive applications

Module 7: Advanced Concepts and Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS
  • Managing updates, diagnostics, and monitoring 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: Designing a basic Adaptive AUTOSAR application for a specific ADAS scenario

Course Summary and Future Directions

Requirements

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

Target Audience

  • Automotive software developers and engineers
  • Embedded systems architects
  • Software developers specializing in ADAS and autonomous vehicles

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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