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pro vyhledávání: '"Pan, Yuandong"'
Semantic segmentation of point clouds is essential for understanding the built environment, and a large amount of high-quality data is required for training deep learning models. Despite synthetic point clouds (SPC) having the potential to compensate
Externí odkaz:
http://arxiv.org/abs/2412.19145
Autor:
Pan, Yuandong, Wang, Mudan, Lu, Linjun, Wei, Ran, Cavazzi, Stefano, Peck, Matt, Brilakis, Ioannis
Publikováno v:
In Automation in Construction October 2024 166
Publikováno v:
In Automation in Construction August 2022 140
Autor:
Pan, Yuandong
A digital twin of built environments can benefit all stakeholders, but its creation process requires high human effort, which makes the cost invested in creating a digital twin exceed the potential benefits it can provide. This dissertation thesis pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::3c7b32479d1689d8d56e589a1e9917ed
https://mediatum.ub.tum.de/1695267
https://mediatum.ub.tum.de/1695267
An information-enriched digital twin for pipe systems is valuable for facility management and maintenance. Currently, the process of creating a twin of pipes requires much human effort and the available information is also very limited. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63463ccb629b4d81f236731d25d5d284
Autor:
Brilakis, Ioannis, Pan, Yuandong, Borrmann, Andre, Mayer, Hermann-Georg, Rhein, Fabian, Vos, Catharina, Pettinato, Eva, Wagner, Sigrid
A digital twin is a digital replica of a real-world physical entity (El Saddik 2018). The concept is already widely used in the manufacturing sector. In the built environment sector, digital twins are gradually entering the conversation as they can o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9878f41ba94e3a1c8ee8832b8c42eb3