Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving

The article presents IRR-Drive, an adaptive multimodal reflection framework designed for autonomous driving, which integrates high-level reasoning with physical constraints to enhance trajectory planning. By generating a preliminary textual intention and predicting future semantic bird's-eye view (BEV) representations, IRR-Drive allows for rigorous self-correction and refinement of trajectories based on anticipated scene evolution. This approach achieves state-of-the-art results on the NAVSIM benchmark, highlighting its effectiveness in balancing planning performance with computational efficiency, particularly in complex environments.