5 papers · 1 filter
Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding
Yueru Luo, Xu Yan, Changqing Zhou +5
Understanding and complying with traffic regulations is a safety-critical requirement for autonomous driving, yet remains challenging due to the diversity and context dependence of…
GPOcc++: Unified Sparse Gaussian Occupancy Prediction with Visual Geometry Priors
Changqing Zhou, Yueru Luo, Yulan Guo +3
Accurate 3D scene understanding is fundamental to embodied intelligence and autonomous driving, where 3D occupancy provides a unified representation of objects, structures, and fre…
Generalizing Visual Geometry Priors to Sparse Gaussian Occupancy Prediction
Changqing Zhou, Yueru Luo, Changhao Chen
Accurate 3D scene understanding is essential for embodied intelligence, with occupancy prediction emerging as a key task for reasoning about both objects and free space. Existing a…
Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes
Changqing Zhou, Yueru Luo, Han Zhang +2
Open-vocabulary 3D occupancy is vital for embodied agents, which need to understand complex indoor environments where semantic categories are abundant and evolve beyond fixed taxon…
Geometry-Guided Representations for Coherent Lane and Traffic Topology Reasoning in Driving Scenes
Yueru Luo, Changqing Zhou, Yiming Yang +4
Road topology reasoning is fundamental for autonomous driving, requiring both accurate perception of road elements and understanding of their complex connectivity, including lane c…