Deep-Learning-Based Automated Building Construction Progress Monitoring for Prefabricated Prefinished Volumetric Construction
Prefabricated prefinished volumetric construction (PPVC) is a relatively new technique that has recently gained popularity for its ability to improve flexibility in scheduling and resource management. Given the modular nature of PPVC assembly and the large amounts of visual data amassed throughout a...
Saved in:
| Main Authors: | Wei Png Chua, Chien Chern Cheah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/7074 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning-based computer vision in project management: Automating indoor construction progress monitoring
by: Biyanka Ekanayake, et al.
Published: (2024-12-01) -
Real-Time Progress Monitoring of Bricklaying
by: Ramez Magdy, et al.
Published: (2025-07-01) -
A computer vision and point cloud-based monitoring approach for automated construction tasks using full-scale robotized mobile cranes
by: Xiao Pan, et al.
Published: (2025-06-01) -
Sat4BIM4D — the concept of using satellite remote sensing to monitor construction progress in conjunction with BIM
by: Glinka Szymon
Published: (2024-12-01) -
Impact of Inter-Modular Connections on Progressive Compressive Behavior of Prefabricated Column-Supported Volumetric Modular Steel Frames
by: Kejia Yang, et al.
Published: (2025-04-01)