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Drones as Annotators: Amodal 3D Auto-Labeling for Ground LiDAR with Aerial Priors
Scaling perception data in autonomous driving is hindered by manual 3D bounding box annotation, a costly and labor intensive process requiring substantial domain expertise. Existing auto-labeling methods reduce this burden, but most of them rely on onboard sensors, where a single ground-level viewpo
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