Get in Touch

Course Outline

Module 1: Foundations of Automotive Software and AUTOSAR

  • Introduction to automotive embedded systems.
  • The progression of AUTOSAR: comparing Classic and Adaptive approaches.
  • Key concepts and layers within the AUTOSAR architecture.
  • The relationship between ADAS systems and AUTOSAR frameworks.

Module 2: Core Principles of the AUTOSAR Classic Platform

  • Runtime Environment (RTE) and Basic Software (BSW) layers.
  • ECU setup and communication strategies.
  • Workflows and essential tools for configuration.
  • Strategies for integrating AUTOSAR Classic with legacy systems.

Module 3: Essentials of the AUTOSAR Adaptive Platform

  • Architectural overview of AUTOSAR Adaptive.
  • Designing and executing Adaptive Applications (AA).
  • POSIX-based operating systems and the role of Execution Management (EM).
  • Communication middleware and Adaptive Platform Services (AP Services).

Module 4: Service-Oriented Architecture and Communication

  • Exploring SOME/IP, DDS, and ara::com.
  • Configuring and designing service interfaces.
  • Facilitating communication across Adaptive Applications.
  • Interoperability with external ECUs and the Classic Platform.

Module 5: Applying AUTOSAR Adaptive to ADAS Development

  • Functional architecture and core features of ADAS.
  • Addressing challenges in sensor fusion and data communication.
  • Incorporating ADAS algorithms into AUTOSAR Adaptive frameworks.
  • Case studies illustrating real-world ADAS software architectures.

Module 6: Development Workflows and Tooling

  • Overview of the AUTOSAR-compliant toolchain.
  • Configuration and modeling tools (including Vector, EB tresos, DaVinci, and equivalents).
  • Code generation processes and deployment to target hardware.
  • Debugging and testing adaptive applications.

Module 7: Advanced Topics and Industry Best Practices

  • Safety and security 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 Capstone Project

  • Guided exercises utilizing AUTOSAR development tools.
  • Simulating and configuring ADAS components.
  • Capstone project: Designing a basic Adaptive AUTOSAR application for a specific ADAS scenario.

Conclusions and Path Forward

Requirements

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

Who Should Attend

  • Automotive software developers and engineering professionals.
  • Architects specializing in embedded systems.
  • Developers focused on ADAS and autonomous vehicle technologies.
 28 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories