Production-based progress monitoring of rebar tying using few-shot learning and kernel density

Production-based progress monitoring of rebar tying using few-shot learning and kernel density

Real-time monitoring of construction progress is crucial for the success of projects. Rebar-related activities are costly, labor-intensive and vital for the structural integrity of buildings. Traditional vision-based monitoring methods focus on appearance, often misjudging completion status by ignor...

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Bibliographic Details
Main Authors: Biaoli Gao, Bin Yang, Hongru Xiao, Yanmin Zhou
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Alexandria Engineering Journal
Subjects:
Construction progress monitoring
Rebar tying
Few-shot learning
Worker activity recognition
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682401696X

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http://www.sciencedirect.com/science/article/pii/S111001682401696X

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