Automotive Software Development with AUTOSAR: Classic and Adaptive Platforms Training Course

Module 1: Foundations of Automotive Software and AUTOSAR

• Landscape of automotive embedded systems
• The evolution of AUTOSAR: Contrasting Classic vs. Adaptive paradigms
• Deconstructing AUTOSAR architecture layers and core concepts
• The role of ADAS systems within the AUTOSAR framework

Module 2: Core Concepts of the AUTOSAR Classic Platform

• Exploring Basic Software (BSW) layers and the Runtime Environment (RTE)
• ECU configuration strategies and communication mechanisms
• Navigating toolchains and configuration workflows
• Strategies for integrating AUTOSAR Classic with legacy systems

Module 3: Fundamentals of the AUTOSAR Adaptive Platform

• Introduction to the architectural principles of AUTOSAR Adaptive
• Designing and executing Adaptive Applications (AA)
• Utilizing POSIX-based operating systems and Execution Management (EM)
• Leveraging Adaptive Platform Services (AP Services) and communication middleware

Module 4: Communication and Service-Oriented Architecture

• Deep dive into SOME/IP, DDS, and ara::com
• Architecting and configuring service interfaces
• Managing inter-communication among Adaptive Applications
• Bridging integration with external ECUs and the Classic Platform

Module 5: AUTOSAR Adaptive in the Context of ADAS Development

• Functional architecture overview of ADAS features
• Addressing challenges in sensor fusion and data communication
• Incorporating ADAS algorithms into the AUTOSAR Adaptive stack
• Analyzing real-world case studies of ADAS software architecture

Module 6: Development Workflows and Tooling

• Survey of the AUTOSAR-compliant toolchain
• Leveraging modeling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
• Processes for code generation and deployment to target hardware
• Techniques for testing and debugging adaptive applications

Module 7: Advanced Topics and Industry Best Practices

• Ensuring security and safety within AUTOSAR Adaptive and ADAS ecosystems
• Managing updates, diagnostics, and monitoring in adaptive environments
• Strategies for real-time performance optimization
• Forecasting future trends in automotive software architecture

Module 8: Practical Application and Capstone Project

• Supervised practical exercises utilizing AUTOSAR development tools
• Configuration and simulation of ADAS components
• Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case

Course Summary and Career Next Steps