Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources-Reference-Cited by-同舟云学术

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Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources

Published:2022-09 Issue: Volume:141 Page:104443
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Kim Jinwoo,Chi Seokho

Funder

Ministry of Land, Infrastructure and Transport

Korea Agency for Infrastructure Technology Advancement

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference92 articles.

1. Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (UAVs): a review of related works;Ham;Visualiz. Eng.,2016

2. Computer vision techniques for construction safety and health monitoring;Seo;Adv. Eng. Inform.,2015

3. Systematic camera placement framework for operation-level visual monitoring on construction jobsites;Kim;J. Constr. Eng. Manag.,2019

4. Ontology-based semantic modeling of knowledge in construction: classification and identification of hazards implied in images;Zhong;J. Constr. Eng. Manag.,2020

5. A few-shot learning approach for database-free vision-based monitoring on construction sites;Kim;Autom. Constr.,2021

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