电力线巡检激光雷达数据的处理方法

Xinqiao Wu, Zhengliang Yan, Ping Wang, Xiao Chen, Xiaojie Wu, Junbo Huang
{"title":"电力线巡检激光雷达数据的处理方法","authors":"Xinqiao Wu, Zhengliang Yan, Ping Wang, Xiao Chen, Xiaojie Wu, Junbo Huang","doi":"10.1109/CARPI.2016.7745646","DOIUrl":null,"url":null,"abstract":"The Paper propose a processing method for LiDAR data in power line inspection tour. The classification of the point cloud with the data feature in the patrol is the first step. On this basis, using the geometric information of different types of point cloud in feature extraction and statistical analysis to obtain the cross-cutting and security risks information which is required by the power line patrol. Tests show that the method can effectively evaluate the security status of the transmission line.","PeriodicalId":104680,"journal":{"name":"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A processing method for LiDAR data of power line patrol\",\"authors\":\"Xinqiao Wu, Zhengliang Yan, Ping Wang, Xiao Chen, Xiaojie Wu, Junbo Huang\",\"doi\":\"10.1109/CARPI.2016.7745646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Paper propose a processing method for LiDAR data in power line inspection tour. The classification of the point cloud with the data feature in the patrol is the first step. On this basis, using the geometric information of different types of point cloud in feature extraction and statistical analysis to obtain the cross-cutting and security risks information which is required by the power line patrol. Tests show that the method can effectively evaluate the security status of the transmission line.\",\"PeriodicalId\":104680,\"journal\":{\"name\":\"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CARPI.2016.7745646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Conference on Applied Robotics for the Power Industry (CARPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPI.2016.7745646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种电力线巡查中激光雷达数据的处理方法。利用数据特征对巡逻中的点云进行分类是第一步。在此基础上,利用不同类型点云的几何信息进行特征提取和统计分析,获得电力线巡检所需的横切和安全风险信息。试验表明,该方法能有效地评价输电线路的安全状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A processing method for LiDAR data of power line patrol
The Paper propose a processing method for LiDAR data in power line inspection tour. The classification of the point cloud with the data feature in the patrol is the first step. On this basis, using the geometric information of different types of point cloud in feature extraction and statistical analysis to obtain the cross-cutting and security risks information which is required by the power line patrol. Tests show that the method can effectively evaluate the security status of the transmission line.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信