works on
3d mapping 1digital twins 1lidar validation 1monocular depth estimation 1urban asset localization 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CV2026

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization

Miriam Louise Carnot, Jonas Kunze, Erik Quinten Fastermann +3

The paper presents MapAnything, a pipeline that uses monocular metric depth estimation to convert single images into 3D geocoordinates for urban objects, and validates its distance…