Yunqian Cheng

SlugTrails is introduced, a floor plan localization benchmark for large indoor spaces under realistic egocentric sensing, and five representative geometric and learned systems under their native sensing configurations are evaluated, finding that stock checkpoints are near zero on SlugTrails and evidence that floor plan localization is currently limited by indoor data rather than by architecture.