Region of interest (ROI) extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection-Reference-Cited by-同舟云学术

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Region of interest (ROI) extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection

Published:2024-02 Issue: Volume:158 Page:105226
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Xiao Jing-Lin,Fan Jian-Sheng,Liu Yu-Fei,Li Bao-Luo,Nie Jian-Guo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference54 articles.

1. Integrated pixel-level CNN-FCN crack detection via photogrammetric 3D texture mapping of concrete structures;Chaiyasarn;Automation in Construction,2022

2. Automated crack assessment and quantitative growth monitoring;Kong;Comput. Aided Civ. Inf. Eng.,2021

3. Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors;Tan;Automation in Construction,2021

4. Visual inspection of highway bridges;Graybeal;J. Nondestruct. Eval.,2002

5. Automated assessment of cracks on concrete surfaces using adaptive digital image processing;Liu;Smart Struct. Syst.,2014

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1. Implementation of a low-cost comprehensive pavement inspection system;Transportation Engineering;2024-12

2. Self-prompting semantic segmentation of bridge point cloud data using a large computer vision model;Automation in Construction;2024-11

3. Extraction and measurement of recessive and conventional cracks in underground engineering concrete structures;Journal of Building Engineering;2024-10

4. Shifting research from defect detection to defect modeling in computer vision-based structural health monitoring;Automation in Construction;2024-08

5. Development of large-scale synthetic 3D point cloud datasets for vision-based bridge structural condition assessment;Advances in Structural Engineering;2024-06-19

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