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Course Outline
Module 1: Fundamentals of Automotive Software and AUTOSAR Standards
- Examination of automotive embedded system environments
- Historical progression of AUTOSAR: Distinguishing Classic from Adaptive frameworks
- Structural layers and foundational principles of the AUTOSAR architecture
- Overview of Advanced Driver Assistance Systems (ADAS) and their alignment with AUTOSAR standards for government procurement and deployment
Module 2: Core Principles of the AUTOSAR Classic Platform
- Basic Software (BSW) layers and the Runtime Environment (RTE)
- Electronic Control Unit (ECU) configuration and communication protocols
- Standardized tools and configuration procedures for regulatory compliance
- Strategies for integrating AUTOSAR Classic with existing legacy infrastructure
Module 3: Fundamentals of the AUTOSAR Adaptive Platform
- Introduction to the AUTOSAR Adaptive architectural framework
- Design and execution models for Adaptive Applications (AA)
- POSIX-compliant operating systems and Execution Management (EM) services
- Adaptive Platform Services (APS) and associated communication middleware standards
Module 4: Communication Protocols and Service-Oriented Architecture
- Overview of SOME/IP, DDS, and ara::com specifications
- Design and configuration procedures for service interfaces
- Inter-application communication within Adaptive environments
- Integration protocols with external ECUs and the Classic Platform
Module 5: Application of AUTOSAR Adaptive in ADAS Development
- Review of ADAS functional requirements and architectural models
- Technical challenges regarding sensor fusion and data transmission
- Deployment of ADAS algorithms within the AUTOSAR Adaptive framework for government-operated vehicle systems
- Analysis of real-world case studies illustrating ADAS software architecture implementations
Module 6: Development Methodologies and Tooling
- Survey of AUTOSAR-compliant development toolchains
- Modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalent standards)
- Code generation processes and deployment onto target hardware platforms
- Procedures for testing and debugging adaptive applications to ensure operational reliability
Module 7: Advanced Technical Topics and Best Practices
- Security and safety compliance within AUTOSAR Adaptive and ADAS ecosystems
- Mechanisms for over-the-air updates, diagnostics, and system monitoring in adaptive environments
- Techniques for optimizing real-time performance metrics
- Emerging trends and strategic directions in automotive software architecture
Module 8: Practical Application and Capstone Project
- Structured exercises utilizing AUTOSAR development tools for government workforce training
- Configuration and simulation of ADAS component functionalities
- Capstone exercise: Designing a foundational Adaptive AUTOSAR application tailored to an ADAS operational scenario
Program Summary and Strategic Next Steps
Requirements
- Demonstrated proficiency in C/C++ application development for embedded environments
- Comprehensive knowledge of foundational automotive software engineering principles
- Proficiency with microcontroller architectures, communication protocols, and real-time operating systems
Audience
- Automotive software developers and engineers seeking specialized training for government
- Embedded systems architects
- Engineers developing software for Advanced Driver Assistance Systems (ADAS) and autonomous vehicles
28 Hours