Dataset for generating LOD3 building models from structure-from-motion and semantic segmentation

This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings, using a structure from motion and semantic segmentation. The methodology hereby implements was presented in the paper [Generating LOD3 building models from structure-from-motion and semantic segmentation" by Pantoja-Rosero et., al. (2022)] (https://doi.org/10.1016/j.autcon.2022.104430)

Keywords

Structure from motion, Masonry buildings, Photogrammetry, LOD models, Deep learning, 3D building models, Digital twin

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	90
download	downloads	212

90
views
212
downloads
Powered by

Found an issue? Give us feedback

visibility

download

1

Average

90

212