Real‐time segmentation of various insulators using generative adversarial networks
Author:
Affiliation:
1. State Key Laboratory of Management and Control for Complex SystemsInstitute of AutomationChinese Academy of SciencesBeijing100190People's Republic of China
2. University of Chinese Academy of SciencesBeijing100049People's Republic of China
Funder
National Natural Science Foundation of China
State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0591
Reference35 articles.
1. Digital image processing approach using combined wavelet hidden Markov model for well-being analysis of insulators
2. LineScout power line robot: Characterization of a UTM-30LX LIDAR system for obstacle detection
3. Development of a power line inspection robot with hybrid operation modes
4. A DOST based approach for the condition monitoring of 11 kV distribution line insulators
5. Condition monitoring of 11 kV distribution system insulators incorporating complex imagery using combined DOST-SVM approach
Cited by 23 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. Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection;IEEE Transactions on Industrial Informatics;2024-01
2. Data Readiness and Data Exploration for Successful Power Line Inspection;Artificial Intelligence;2023-09-28
3. The 110kV Live-Maintaining Robot Control System Design for Substation Equipment in Complex Working Conditions;2023 42nd Chinese Control Conference (CCC);2023-07-24
4. An insulator feature-enhanced segmentation method based on the residual-type attention mechanism;2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2022-12-16
5. Key target and defect detection of high-voltage power transmission lines with deep learning;International Journal of Electrical Power & Energy Systems;2022-11
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