Deep learning based approaches from semantic point clouds to semantic BIM models for heritage digital twin

Deep learning based approaches from semantic point clouds to semantic BIM models for heritage digital twin

Abstract This study focuses on the application of deep learning for transforming semantic point clouds into semantic Building Information Models (BIM) to create a Heritage Digital Twin, centering on Taoping Village, a site of historical and cultural significance in Sichuan, China. Utilizing advanced...

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Bibliographic Details
Main Authors: Xiang Pan, Qing Lin, Siyi Ye, Li Li, Li Guo, Brendan Harmon
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Heritage Science
Subjects:
Heritage digital twin
Semantic point clouds
Unmanned Air Vehicle Digital Photogrammetry (UAVDP)
Terrestrial laser scanning (TLS)
Building Information Models (BIM)
Deep learning
Online Access:https://doi.org/10.1186/s40494-024-01179-4

Internet

https://doi.org/10.1186/s40494-024-01179-4

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