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Duration 28 hours
Course Outline
Module 1: Foundations of Automotive Software and the AUTOSAR Ecosystem
- An introduction to automotive embedded systems
- The evolution of AUTOSAR: distinguishing Classic from Adaptive architectures
- Deep dive into AUTOSAR architectural layers and core principles
- Exploring ADAS systems and their alignment with AUTOSAR standards
Module 2: The AUTOSAR Classic Platform – Core Principles
- Structuring the Basic Software (BSW) layers and managing the Runtime Environment (RTE)
- Configuring ECUs and managing communication mechanisms
- Navigating toolchains and configuration workflows
- Integrating AUTOSAR Classic solutions with legacy systems
Module 3: AUTOSAR Adaptive Platform – Essential Concepts
- Introduction to the AUTOSAR Adaptive architectural model
- Designing and executing Adaptive Applications (AA)
- Leveraging POSIX-based operating systems and the Execution Management (EM)
- Utilising Adaptive Platform Services (AP Services) and communication middleware
Module 4: Communication Protocols and Service-Oriented Architecture
- Implementing SOME/IP, DDS, and ara::com
- Designing and configuring robust service interfaces
- Facilitating communication between Adaptive Applications
- Ensuring interoperability with external ECUs and the Classic Platform
Module 5: Deploying AUTOSAR Adaptive for ADAS Development
- Reviewing ADAS capabilities and functional architectures
- Addressing challenges in sensor fusion and data communication
- Integrating ADAS algorithms within the AUTOSAR Adaptive framework
- Analysing real-world case studies of ADAS software architectures
Module 6: Development Workflows and Tooling
- Overview of the AUTOSAR-compliant toolchain
- Utilising modelling and configuration tools (e.g., Vector, EB tresos, DaVinci, or equivalents)
- Managing code generation and deployment to target hardware
- Testing and debugging adaptive applications effectively
Module 7: Advanced Topics and Industry Best Practices
- Ensuring security and safety in AUTOSAR Adaptive and ADAS contexts
- Managing updates, diagnostics, and monitoring in adaptive environments
- Optimising real-time performance
- Exploring emerging trends in automotive software architecture
Module 8: Practical Application and Capstone Project
- Guided practical exercises using professional AUTOSAR development tools
- Configuring and simulating ADAS components
- Mini-project: Designing a simple Adaptive AUTOSAR application for a specific ADAS use case
Course Summary and Future Directions
Requirements
- Proficiency in C/C++ programming specifically for embedded systems
- A solid comprehension of fundamental automotive software principles
- Working knowledge of microcontrollers, communication protocols, and real-time operating systems
Target Audience
- Automotive software developers and systems engineers
- Embedded systems architects
- Specialists in ADAS and autonomous vehicle software development
