Qirui Yuan

Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning

End-to-end autonomous driving, which directly maps raw sensor inputs to low-level vehicle controls, is an crucial part of Embodied AI. Despite successes in applying Multimodal Large Language Models (MLLMs) for high-level traffic scene semantic understanding, it remains challenging to effectively tra