AI-Based End-to-End Automotive Design and Software Development for SDVs
Read the original on arXiv AI →The paper investigates how Artificial Intelligence can support end‑to‑end automotive design and software development for Software‑Defined Vehicles. It presents an AI‑driven toolchain that combines Large Language Models with Model‑Driven Engineering to convert natural‑language requirements into system architectures, executable software, and validation artifacts, while maintaining traceability, consistency, and safety compliance. Validation was performed on a centralized vehicle computing platform for adaptive cruise control and emergency braking using Hardware‑in‑the‑Loop and Software‑in‑the‑Loop tests, and the authors discuss current capabilities, limitations, and future directions toward more automated, reliable, and quality‑assured automotive software development.
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