Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures

Published:2021-10 Issue: Volume:130 Page:103831
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Ali Rahmat,Kang Dongho,Suh Gahyun,Cha Young-Jin

Funder

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. A review on computer vision-based defect detection and condition assessment of concrete and asphalt civil infrastructure;Koch;Adv. Eng. Inform.,2015

2. Health monitoring framework for bridges and civil infrastructure;Elgamal,2003

3. A vision-based approach for the direct measurement of displacements in vibrating systems;Wahbeh;Smart Mater. Struct.,2003

4. Automated crack detection on concrete bridges;Prasanna;IEEE Trans. Autom. Sci. Eng.,2014

5. A robotic crack inspection and mapping system for bridge deck maintenance;Lim;IEEE Trans. Autom. Sci. Eng.,2014

Cited by 95 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. HVPS-DFN-DL: Intelligent capture and characterization of geological fracture outcrops based on a hybrid vision-photogrammetric system and discrete fracture network;Journal of Industrial Information Integration;2024-11

2. Embodied AI for dexterity-capable construction Robots: DEXBOT framework;Advanced Engineering Informatics;2024-10

3. Deep learning for automated multiclass surface damage detection in bridge inspections;Automation in Construction;2024-10

4. Crack analysis of tall concrete wind towers using an ad-hoc deep multiscale encoder–decoder with depth separable convolutions under severely imbalanced data;Structural Health Monitoring;2024-09-10

5. Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features;IEEE Transactions on Intelligent Transportation Systems;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3