Deep learning applied to equipment detection on flat roofs in images captured by UAV-Reference-Cited by-同舟云学术

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Deep learning applied to equipment detection on flat roofs in images captured by UAV

Published:2023-07 Issue: Volume:18 Page:e01917
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Santos Lara Monalisa Alves dos,Zanoni Vanda Alice Garcia,Bedin Eduardo,Pistori Hemerson^ORCID

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference32 articles.

1. State-of-the-Art Review of Building Inspection Systems;Ferraz,2016

2. The use of unmanned aerial vehicles for sloped roof inspections – considerations and constraints;Bown;J. Facil. Manag. Educ. Res.,2018

3. Roof Damage Assessment using Deep Learning;Hezaveh,2017

4. Concrete crack identification using a UAV incorporating hybrid image processing;Kim;Sensors,2017

5. Using UAS for Roofs Structure Inspections at Post-occupational Residential Buildings;Silveira,2020

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1. Automated generation and semantic segmentation of roof orthophoto for digital twin -based monitoring of slated roofs;Automation in Construction;2024-11

2. UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review;Drones;2024-07-22

3. Suitable Deep Learning Based for High Accuracy Object Detection in Inventory Management: Systematic Literature Review;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

4. Deep learning-based extraction and quantification of features in XCT images of steel corrosion in concrete;Case Studies in Construction Materials;2024-07

5. A novel adaptive Kriging method combining Hessian matrix and an efficient F-score-based stopping criterion for structural reliability analysis;Structures;2023-12

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