Course

Unit 1

Introduction to Software Defined Vehicle E/E Architecture evolution High Compute Platforms Zonal Controllers Traditional SW Architecture vs SDV SW Architecture Introduction to Industry Consortiums and Alliances Service Oriented Architecture/Communication SOME/IP Introduction to Protobuf, DDS

Unit 2

AUTOSAR Overview Evolution of AUTOSAR Introduction to Adaptive AUTOSAR Adaptive AUTOSAR architecture Configure and deploy an Adaptive AUTOSAR service and demonstrate communication over SOME/IP or DDS Communication Management Lifecycle Management Update and Configuration Management Linux & Qemu Basics Adaptive Application and Platform realization examples Diagnostics and calibration: Overview and significance; Tool-based analyses using UDS and DoIP.

Unit 3

Virtualization (Onboard) Approaches Introduction to Hypervisor Types of Hypervisor Utilization of Hypervisor in Automotive Introduction to Containerization Container Technology (Onboard to Offboard) Applicability to Automotive Cloud deployment vs Onboard deployment.

Text Books / References

References:

1. Dirk Slama, Achim Nonnenmacher, Thomas Irawan, “The Software-Defined Vehicle”, O’Reilly Media, 2023
2. Plato Pathrose, “Software Defined Vehicles R-595”, SAE International, 2025.
3. TI SDV reference designs, 2026.
4. TI Software-defined vehicle design resources, 2026.
5. Software-defined vehicle DevOps toolchain, https://learn.microsoft.com/en-us/industry/mobility/architecture/software-definedvehicle-reference-architecture-content , 2026
6. COVESA: Vehicle signal specification (VSS), https://covesa.global/vehicle-signalspecification , 2025.
7. DeepSeek: deepseek-ai/deepseek-llm-7b-chat. Hugging Face model repository, https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat , 2024.
8. n8n: Powerful workflow automation software & tools: n8n, https://n8n.io , 2025.

Course Objectives:

• To introduce software defined vehicles fundamentals and communication stack
• To impart knowledge on middleware based on Adaptive AUTOSAR
• To provide insights on virtualization, hypervisor and containers

Course Outcomes:

• CO01:Ability to understand software defined vehicle architecture in terms of hardware and software.
• CO02: Ability to define and realize Adaptive AUTOSAR based software
• CO03: Ability to understand virtualization techniques
• CO04: Ability to understand containerization techniques

CO-PO Mapping

Skills Acquired: Understanding of SDV and its communication stack; software architecture realization using Adaptive AUTOSAR, Virtualization, Hypervisors and Containers.