Get in Touch
 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Overview of embedded systems in the automotive industry.
  • The progression of AUTOSAR: Comparing Classic and Adaptive approaches.
  • Examining AUTOSAR architecture layers and core concepts.
  • Understanding ADAS systems and their interplay with AUTOSAR.

Module 2: Core Principles of the AUTOSAR Classic Platform

  • Detailed look at Basic Software (BSW) layers and the Runtime Environment (RTE).
  • Configuring ECUs and understanding communication mechanisms.
  • Review of essential tools and configuration workflows.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

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

Module 4: Communication and Service-Oriented Architecture

  • Deep dive into SOME/IP, DDS, and ara::com.
  • Designing and configuring service interfaces.
  • Managing communication between Adaptive Applications.
  • Integration techniques for external ECUs and the Classic Platform.

Module 5: Leveraging AUTOSAR Adaptive for ADAS Development

  • Exploring ADAS features and their functional architecture.
  • Addressing challenges in sensor fusion and data communication.
  • Incorporating ADAS algorithms within the AUTOSAR Adaptive framework.
  • Analysis of real-world case studies in ADAS software architecture.

Module 6: Development Workflows and Tooling

  • Overview of the AUTOSAR-compliant toolchain.
  • Using modeling and configuration tools (such as Vector, EB tresos, DaVinci, or equivalents).
  • Processes for code generation and deployment on target hardware.
  • Techniques for testing and debugging adaptive applications.

Module 7: Advanced Concepts and Industry Best Practices

  • Addressing security and safety concerns in AUTOSAR Adaptive and ADAS.
  • Handling updates, diagnostics, and monitoring in adaptive environments.
  • Optimizing real-time performance.
  • Identifying emerging trends in automotive software architecture.

Module 8: Practical Application and Project Work

  • Guided exercises using professional AUTOSAR development tools.
  • Configuring and simulating ADAS components.
  • Capstone mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case.

Summary and Future Directions

Requirements

  • Proficiency in C/C++ programming specifically for embedded systems.
  • A solid grasp of fundamental automotive software principles.
  • Working knowledge of microcontrollers, communication protocols, and real-time operating systems.

Target Audience

  • Software developers and engineers in the automotive sector.
  • Architects specializing in embedded systems.
  • Professionals developing software for ADAS and autonomous vehicles.

Number of participants


Price per participant

Upcoming Courses

Related Categories