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Duration 28 hours
Course Outline
Module 1: Foundations of Automotive Software and AUTOSAR
- Foundational overview of automotive embedded systems
- Tracing the evolution from AUTOSAR Classic to Adaptive
- Key concepts and hierarchical layers within AUTOSAR architecture
- Overview of ADAS systems and their integration with AUTOSAR
Module 2: Core Principles of the AUTOSAR Classic Platform
- Structural breakdown of Basic Software (BSW) layers and the Runtime Environment (RTE)
- ECU configuration strategies and communication methodologies
- Workflows and tooling for configuration management
- Strategies for integrating AUTOSAR Classic with legacy systems
Module 3: Essentials of the AUTOSAR Adaptive Platform
- Architectural introduction to AUTOSAR Adaptive
- Design patterns and execution models for Adaptive Applications (AA)
- Utilizing POSIX-based OS and the role of Execution Management (EM)
- Exploring Adaptive Platform Services (AP Services) and middleware for communication
Module 4: Communication Frameworks and Service-Oriented Design
- In-depth look at SOME/IP, DDS, and ara::com
- Architecture and configuration of service interfaces
- Inter-app communication mechanisms within Adaptive systems
- Bridging Adaptive Applications with external ECUs and Classic platforms
Module 5: Leveraging AUTOSAR Adaptive for ADAS
- Architectural overview of ADAS functionalities
- Navigating sensor fusion and data handling challenges
- Embedding ADAS algorithms within the AUTOSAR Adaptive stack
- Analysis of real-world ADAS software case studies
Module 6: Development Lifecycle and Toolchains
- Survey of AUTOSAR-compliant development tools
- Modeling and configuration using tools such as Vector, EB tresos, DaVinci, etc.
- Processes for code generation and deployment to target hardware
- Techniques for testing and debugging adaptive applications
Module 7: Advanced Considerations and Best Practices
- Implementing security and safety protocols in Adaptive and ADAS contexts
- Managing updates, diagnostics, and system monitoring in adaptive environments
- Optimizing real-time performance metrics
- Forecasting future trends in automotive software architecture
Module 8: Practical Application and Capstone Project
- Supervised exercises utilizing AUTOSAR development suites
- Configuration and simulation workflows for ADAS modules
- Mini-project: Architecting a basic Adaptive AUTOSAR solution for an ADAS scenario
Conclusion and Path Forward
Requirements
- Proficiency in C/C++ programming tailored for embedded systems
- Foundational knowledge of automotive software principles
- Working familiarity with microcontrollers, communication protocols, and real-time operating systems
Target Audience
- Automotive software developers and engineers
- Embedded systems architects
- Specialists in ADAS and autonomous vehicle software development
