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Title:

TUM CMS Indoor point cloud

Document type:
Forschungsdaten
Publication date:
22.05.2024
Responsible:
Mehranfar, Mansour
Authors:
Mehranfar, Mansour; Vega-Torres, Miguel-A.; Braun, Alexander; Borrmann, André
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1742891
End date of data production:
11.01.2023
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; TEC Technik, Ingenieurwissenschaften (allgemein); UMW Umweltwissenschaften
Resource type:
Abbildungen von Objekten / image of objects; Statistik und Referenzdaten / statistics and reference data
Data type:
mehrdimensionale Visualisierungen oder Modelle / models
Other data type:
Indoor point cloud data captured by laser scanner device
Description:
The TUM CMS indoor dataset comprises raw RGB point cloud data captured from five distinct indoor areas within two buildings at the Technical University of Munich. These buildings primarily serve educational purposes and encompass various spaces such as offices, meeting rooms, hallways, etc. The datasets were meticulously captured utilizing the NavVis VLX laser scanner (www.navvis.com), ensuring high-quality and dense point cloud representations. This rich dataset offers significant value for res...     »
Method of data assessment:
The datasets were captured utilizing the NavVis VLX laser scanner (www.navvis.com).
Links:
This dataset relates to the publication: https://doi.org/10.1016/j.aei.2024.102643
Key words:
Point cloud; Digital Twinning; LOCenter; Built Environment; IFC; BIM
Technical remarks:
View and download (3.2 GB total, 8 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1742891):
rsync rsync://m1742891@dataserv.ub.tum.de/m1742891/
Language:
en
Rights:
by-nc, http://creativecommons.org/licenses/by-nc/4.0
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