Generative world models offer controllable and repeatable closed-loop simulation for end-to-end and vision-language-action driving policies, but production deployment exposes three unresolved requirements: faithfully reproducing a mixed fisheye-pinhole rig at native resolutions; reconciling causal, per-timestep interac...
Bo-Ni Hu, Xiong Wei, Hao-Ming Huang et al.· 0 citations
SpatialCLI is proposed, a framework that teaches VLMs to reason with spatial tools and progressively internalize the specialist perceptual capabilities they provide and introduces SpatialCLI-Bench, a 516-example benchmark for compositional perception across localization, segmentation, depth, and pose.
Yang Zhou, Zixuan Huang, Sunzhu Li et al.· arXiv.org· 0 citations
Experimental results show that DEFT-RLVR improves AD reasoning while preserving or even enhancing general visual capabilities, and Autonomous-Driving Multiple-Choice Question (AD-MCQ) provides a flexible, scalable, and extensible foundation for future research on verifiable AD reasoning.
Zi-Xuan Huang, Yang Zhou, Kai-Xuan Wang et al.· 0 citations
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