DriveZero is presented, an end-to-end system that learns driving behavior beyond human demonstrations that achieves state-of-the-art performance on NAVSIMv1, NAVSIMv2 and the closed-loop HUGSIM benchmark without any human trajectory supervision.
Hao He, Cheng-Cheng Hu, Zi-Run Su et al.· 2 citations
RoGe is an end-to-end unified reconstruction and generation framework that removes this explicit bridge between reconstruction and generation, and outperforms reconstruction-based, generation-based, and hybrid baselines in terms of image-level quality and video-level temporal and geometric consistency.
Xiaolei Lang, Ze Kang, Ze-Hao Huang et al.· 0 citations
A Geometry-grounded Unified 3D Perception (GeoUP) framework that adapts the reconstruction-oriented latent of VGGT to calibrated, streaming multi-camera driving scenes and achieves SOTA performance across detection, occupancy, and depth estimation is presented.
Longfei Xu, Xiao-Hui Wang, Ze-Hao Huang et al.· 2 citations
The ViSTR-Bench is introduced, a novel evaluation suite designed to systematically assess whether MLLMs can perform qualitative reasoning from continuous visual cues in dynamic scenes and establishes a comprehensive four-dimensional evaluations covering Motion Perception, Spatial Relations, Outcome Prediction, and Phys...
Han Li, Si Liu, Zehao Huang et al.· arXiv.org· 1 citation
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