Automatic generation of structural geometric digital twins from point clouds
Abstract A geometric digital twin (gDT) model capable of leveraging acquired 3D geometric data plays a vital role in digitizing the process of structural health monitoring. This study presents a framework for generating and updating digital twins of existing buildings by inferring semantic informati...
Main Authors: | Kaveh Mirzaei, Mehrdad Arashpour, Ehsan Asadi, Hossein Masoumi, Heng Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-26307-7 |
Similar Items
-
Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems
by: Nikolai Galkin, et al.
Published: (2023-01-01) -
AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND
CLASSIFICATION USING GEOMETRICAL RULES
by: A. Murtiyoso, et al.
Published: (2019-08-01) -
SURFACE OR SKELETON? AUTOMATIC HIERARCHICAL CLUSTERING OF 3D POINT CLOUDS OF BRONZE FROG DRUMS FOR HERITAGE DIGITAL TWINS
by: F. Xue, et al.
Published: (2023-06-01) -
GENERATION OF INDOOR POINT CLOUDS EXPLOITING GEOMETRIC SYMMETRIES AND REGULARITIES
by: A. Masiero, et al.
Published: (2021-08-01) -
Automatic completion of geometric models from point clouds for analyzing historic timber roof structures
by: Taşkın Özkan, et al.
Published: (2024-04-01)