ColamentosZJU/

Drive-P2D

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving

Paper (arXiv): https://arxiv.org/abs/2601.14702 Hugging Face Dataset: https://huggingface.co/datasets/ColamentosZJU/Drive-P2D

Drive-P2D is a progressive perception-to-decision benchmark for evaluating Vision-Language Models (VLMs) across object-level perception, scene understanding, and driving decision-making in autonomous driving. It contains 6,650 questions across three levels: Object, Scene, and… See the full description on the dataset page: https://huggingface.co/datasets/ColamentosZJU/Drive-P2D.