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Monitoring Progress and Standardization of Work Using Artificial Intelligence—Evolution of NORMENG Project
by
Sigmund, Zvonko
, Završki, Ivica
, Vilibić, Kristijan
, Mihić, Matej
in
Adaptation
/ Artificial intelligence
/ automated progress monitoring
/ Automation
/ Building information modeling
/ Computer vision
/ Construction industry
/ Construction management
/ Drones
/ Large language models
/ Masonry
/ Monitoring
/ multimodal AI
/ Neural networks
/ Norms
/ Photogrammetry
/ Planning
/ Productivity
/ resource standardization
/ Standardization
2025
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Monitoring Progress and Standardization of Work Using Artificial Intelligence—Evolution of NORMENG Project
by
Sigmund, Zvonko
, Završki, Ivica
, Vilibić, Kristijan
, Mihić, Matej
in
Adaptation
/ Artificial intelligence
/ automated progress monitoring
/ Automation
/ Building information modeling
/ Computer vision
/ Construction industry
/ Construction management
/ Drones
/ Large language models
/ Masonry
/ Monitoring
/ multimodal AI
/ Neural networks
/ Norms
/ Photogrammetry
/ Planning
/ Productivity
/ resource standardization
/ Standardization
2025
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Do you wish to request the book?
Monitoring Progress and Standardization of Work Using Artificial Intelligence—Evolution of NORMENG Project
by
Sigmund, Zvonko
, Završki, Ivica
, Vilibić, Kristijan
, Mihić, Matej
in
Adaptation
/ Artificial intelligence
/ automated progress monitoring
/ Automation
/ Building information modeling
/ Computer vision
/ Construction industry
/ Construction management
/ Drones
/ Large language models
/ Masonry
/ Monitoring
/ multimodal AI
/ Neural networks
/ Norms
/ Photogrammetry
/ Planning
/ Productivity
/ resource standardization
/ Standardization
2025
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Monitoring Progress and Standardization of Work Using Artificial Intelligence—Evolution of NORMENG Project
Journal Article
Monitoring Progress and Standardization of Work Using Artificial Intelligence—Evolution of NORMENG Project
2025
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Overview
This paper represents initial research with the aim to establishes a baseline for subsequent research into AI-based construction monitoring, building upon the NORMENG project in Croatia, which previously integrated photogrammetry, laser scanning, and BIM-based methods. The study tests general purpose AI’s ability to detect materials and estimate quantities, aiming to assess whether a broad, context-aware AI system can match the precision of specialized, domain-specific tools or even human work needed for productivity estimations. While the AI demonstrated potential for basic entity detection and preliminary quantity estimations, it showed significant limitations in delivering fine-grained, temporally accurate breakdowns without targeted adaptation. The findings underscore the need for domain-specific fine-tuning and human-in-the-loop validation to transform AI into a reliable tool for construction management. This initial contribution provides empirical insights and actionable recommendations for advancing automated progress monitoring in the construction sector.
Publisher
MDPI AG
Subject
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