Get in Touch
 Duration 28 hours

Course Outline

Module 1: Foundations of Automotive Software and the AUTOSAR Framework

  • Contextual overview of embedded systems within the automotive sector
  • Evolutionary trajectory of AUTOSAR standards: comparing Classic and Adaptive paradigms
  • Analyzing structural hierarchy and foundational principles of the AUTOSAR ecosystem
  • Assessment of Advanced Driver Assistance Systems (ADAS) and their integration with AUTOSAR protocols

Module 2: Core Principles of the AUTOSAR Classic Platform

  • Deconstruction of Basic Software (BSW) stratifications and the Runtime Environment (RTE)
  • Procedures for ECU configuration and data exchange mechanisms
  • Methodologies for tool selection and configuration management workflows
  • Strategies for harmonizing AUTOSAR Classic implementations with legacy infrastructure

Module 3: Fundamental Concepts of the AUTOSAR Adaptive Platform

  • Introduction to the structural architecture of the AUTOSAR Adaptive standard
  • Architectural design patterns and execution logic for Adaptive Applications (AA)
  • Implementation of POSIX-based operating systems and Execution Management (EM) functions
  • Roles of Adaptive Platform Services (AP Services) and communication middleware

Module 4: Communication Protocols and Service-Oriented Architecture

  • Technical specifications of SOME/IP, DDS, and ara::com frameworks
  • Methodological approaches to designing and configuring service interfaces
  • Inter-application data exchange processes within the Adaptive environment
  • Integration protocols for external ECUs and the AUTOSAR Classic Platform

Module 5: Application of AUTOSAR Adaptive in ADAS Development

  • Functional architecture analysis of ADAS capabilities and features
  • Challenges associated with sensor fusion and high-volume data communication
  • Techniques for embedding ADAS algorithms within the AUTOSAR Adaptive framework
  • Examination of practical case studies involving ADAS software architecture

Module 6: Development Workflows and Tooling Standards

  • Survey of compliant toolchains for AUTOSAR-based development
  • Evaluation of modeling and configuration utilities (e.g., Vector, EB tresos, DaVinci, or equivalents)
  • Processes for code generation and deployment to target hardware for government and public sector applications
  • Protocols for testing and debugging adaptive application logic

Module 7: Advanced Technical Topics and Operational Best Practices

  • Security frameworks and safety standards in AUTOSAR Adaptive and ADAS contexts
  • Management of updates, diagnostics, and system monitoring in adaptive environments
  • Optimization strategies for real-time performance metrics
  • Projected trends in automotive software architecture for future government deployments

Module 8: Practical Application and Project Implementation

  • Supervised practical exercises utilizing AUTOSAR development environments
  • Configuration and simulation workflows for ADAS components
  • Capstone project: architecture design for a specific Adaptive AUTOSAR application addressing an ADAS use case

Concluding Summary and Recommended Next Steps

Requirements

  • Demonstrated proficiency in C/C++ programming for embedded systems
  • Working knowledge of fundamental automotive software concepts
  • Acquaintance with microcontroller operations, communication protocols, and real-time system requirements

Target Audience

  • Automotive software developers and engineers
  • Embedded systems architects
  • Software specialists in ADAS and autonomous vehicle technologies

Number of participants


Price per participant

Upcoming Courses

Related Categories