{"title":"State-of-the-art review of computer vision for the management of power transmission lines","authors":"F. Mirallès, N. Pouliot, Serge Montambault","doi":"10.1109/CARPI.2014.7030068","DOIUrl":null,"url":null,"abstract":"A review of the current state-of-the-art computer vision applied to the management of power transmission lines is presented. It covers the highest value applications for electric utilities, with a specific interest for applications dedicated on the cable system. Although robotics provides additional means of data collection, this review is not centered on specific platforms. Strategic steps that could favor the efficient introduction of computer vision in the power transmission industry are also discussed.","PeriodicalId":346429,"journal":{"name":"Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPI.2014.7030068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
A review of the current state-of-the-art computer vision applied to the management of power transmission lines is presented. It covers the highest value applications for electric utilities, with a specific interest for applications dedicated on the cable system. Although robotics provides additional means of data collection, this review is not centered on specific platforms. Strategic steps that could favor the efficient introduction of computer vision in the power transmission industry are also discussed.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
