Learning-Based 3D Reconstruction of Power Networks from Aerial Point Clouds
An end-to-end framework for reconstructing overhead power utility network topology and extracting span-level physical metadata from large-scale aerial LiDAR, which mitigates common failure modes of heuristic connectivity rules in dense or cluttered scenes and under partial wire observation.
Rishabh R. Jain, A. Saini, Vishal Jain
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