MapAnything automates 3D geo-localization of urban assets from monocular images via metric depth estimation combined with geometric calculations, with validation against LiDAR point clouds.
We annotated 100 images of our Cyclomedia dataset and calculated the Intersection over Union (IoU) between the annotated and the predicted masks for each image
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization
MapAnything automates 3D geo-localization of urban assets from monocular images via metric depth estimation combined with geometric calculations, with validation against LiDAR point clouds.