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Frequency-domain analysis can detect state estimator failures with surprising precision, revealing a new layer of introspection for robotic systems.
LiDAR odometry can be made significantly more robust in challenging, feature-poor environments by representing surfaces as compact voxel-wise oriented height images and focusing registration on geometrically informative regions.
