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Duration 28 hours
Course Outline
Module 1: Fundamentals of Automotive Software and AUTOSAR
- Introduction to automotive embedded systems
- The evolution of AUTOSAR: Comparing Classic and Adaptive approaches
- Core concepts and architectural layers within AUTOSAR
- The role of ADAS systems and their relationship to AUTOSAR frameworks
Module 2: Core Concepts of the AUTOSAR Classic Platform
- Examining Basic Software (BSW) layers and the Runtime Environment (RTE)
- Configuring ECUs and managing communication mechanisms
- Workflow and toolset for configuration management
- Strategies for integrating AUTOSAR Classic with legacy systems
Module 3: Foundations of the AUTOSAR Adaptive Platform
- Understanding the AUTOSAR Adaptive architectural paradigm
- Designing and executing Adaptive Applications (AA)
- Utilizing POSIX-based operating systems and Execution Management (EM)
- Exploring Adaptive Platform Services and communication middleware
Module 4: Service-Oriented Architecture and Communication
- Protocols and frameworks: SOME/IP, DDS, and ara::com
- Designing and configuring robust service interfaces
- Facilitating communication between various Adaptive Applications
- Interoperability with external ECUs and the Classic Platform
Module 5: Applying AUTOSAR Adaptive to ADAS Development
- Functional architecture and feature overview of ADAS
- Addressing challenges in sensor fusion and data communication
- Embedding ADAS algorithms within the AUTOSAR Adaptive environment
- Analysis of real-world ADAS software architecture case studies
Module 6: Development Workflows and Toolchains
- Survey of the AUTOSAR-compliant toolchain ecosystem
- Utilizing modeling and configuration tools such as 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
- Enhancing security and safety in AUTOSAR Adaptive and ADAS contexts
- Managing updates, diagnostics, and monitoring in adaptive environments
- Optimizing real-time performance for automotive applications
- Exploring future trends and innovations in automotive software architecture
Module 8: Practical Application and Capstone Project
- Guided exercises using professional AUTOSAR development tools
- Simulating and configuring ADAS component interactions
- Capstone project: Designing a simplified Adaptive AUTOSAR application for a specific ADAS scenario
Summary and Pathways for Continued Learning
Requirements
- Solid experience in C/C++ programming specifically for embedded systems
- A foundational understanding of core automotive software principles
- Proficiency with microcontrollers, communication protocols, and real-time system operations
Target Audience
- Automotive software developers and engineering specialists
- Architects specializing in embedded systems
- Developers focused on ADAS and autonomous vehicle technologies
