Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
TUM CMS Indoor point cloud
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 researchers and developers seeking to advance algorithms aimed at comprehending real-world built environments.
TUM CMS Indoor point cloud
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 researchers and developers seeking to advance algorithms aimed at comprehending real-world built environments.
TUM CMS Indoor point cloud
Mehranfar, Mansour (Autor:in) / Vega-Torres, Miguel-A. (Autor:in) / Braun, Alexander (Autor:in) / Borrmann, André (Autor:in)
2024
Forschungsdaten
Elektronische Ressource
Englisch
Point cloud , BIM , Digital Twinning , IFC , LOCenter , Built Environment
Automatic point cloud coarse registration using geometric keypoint descriptors for indoor scenes
| British Library Online Contents | 2017