Get in Touch

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of automotive embedded systems
  • The evolution of AUTOSAR: Classic versus Adaptive
  • Key concepts and architectural layers of AUTOSAR
  • Relationship between ADAS systems and AUTOSAR standards

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 management and associated tooling
  • Integrating AUTOSAR Classic with legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

  • Introduction to 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

  • Technologies including SOME/IP, DDS, and ara::com
  • Designing and configuring service interfaces
  • Inter-application communication strategies
  • Integration with external ECUs and the Classic Platform

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Functional architecture and key features of ADAS
  • Challenges in sensor fusion and data communication
  • Embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • 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 equivalent)
  • Code generation and deployment to target hardware
  • Testing and debugging strategies for adaptive applications

Module 7: Advanced Topics and Best Practices

  • Ensuring security and safety in AUTOSAR Adaptive and ADAS systems
  • 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 hands-on exercises using AUTOSAR development tools
  • Configuring and simulating ADAS components
  • Capstone project: Designing a simple Adaptive AUTOSAR application for an ADAS use case

Summary and Path Forward

Requirements

  • Proficiency in C/C++ programming for embedded systems
  • Foundational knowledge of automotive software concepts
  • 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

Number of participants


Price per participant

Upcoming Courses

Related Categories