Random bridge generator as a platform for developing computer vision-based structural inspection algorithms-Reference-Cited by-同舟云学术

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Random bridge generator as a platform for developing computer vision-based structural inspection algorithms

Published:2024-06 Issue:2 Volume:3 Page:100098
ISSN:2772-9915
Container-title:Journal of Infrastructure Intelligence and Resilience
language:en
Short-container-title:Journal of Infrastructure Intelligence and Resilience

Author:

Cheng Haojia,Chai Wenhao,Hu Jiabao,Ruan Wenhao,Shi Mingyu,Kim Hyunjun,Cao Yifan,Narazaki Yasutaka^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference59 articles.

1. AASHTO LRFD Bridge Design Specifications;AASHTO,2017

2. The state of the art of data science and engineering in structural health monitoring;Bao;Engineering,2019

3. Visual structural inspection datasets;Bianchi;Autom. ConStruct.,2022

4. Blender. Available online: https://www.blender.org/.

5. Albumentations: fast and flexible image augmentations;Buslaev;Information,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 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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