A prototype tool leveraging the synergy of large language models (LLMs) and model-driven engineering (MDE) to automate the software development process for centralized vehicular systems.
This paper presents a practical experience of developing an AI-augmented solution, based on Machine Learning and Model-based Engineering, to support continuous vehicle development and testing by leveraging historical real driving data to synthesize a high-fidelity driving simulator.