Development of advanced progress recognition algorithms for construction monitoring
This approach presents an innovative computer vision application in construction progress monitoring. It facilitates timely decision-making throughout the project lifecycle and offers a practical alternative to manual CPM methods. Using YOLOv8 for automated CPM is a novel contribution to construction project management, potentially impacting the successful completion.
Authors
- Jun Zhang (ORCID: https://orcid.org/0000-0001-6972-6828)
- Ye Zhijie
- Lai Yingdong
- Lin Zhijun
Institutions
- Power Grid Corporation (India) (IN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1371/journal.pone.0333262
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00