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University of Michigan, Ohio State University
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Invariance in diffusion models peaks at intermediate noise levels, revealing a critical link between representation quality and classification performance.
Meridian achieves accurate global localization in unstructured environments without the need for area-specific training, outperforming traditional methods.
LiDAR-only dynamic object detection gets a major boost in cluttered environments by fusing temporal occupancy grids with a learned BEV dynamic prior, significantly reducing false negatives.
