Elbow detection for localization of a mobile robot inside pipeline using laser pointers

Chaehyeuk Lee, Da-Ni Joo, G. Kim, Byung soo Kim, Gwang hoon Lee, Soon‐Geul Lee
{"title":"Elbow detection for localization of a mobile robot inside pipeline using laser pointers","authors":"Chaehyeuk Lee, Da-Ni Joo, G. Kim, Byung soo Kim, Gwang hoon Lee, Soon‐Geul Lee","doi":"10.1109/URAI.2013.6677474","DOIUrl":null,"url":null,"abstract":"Robots for pipe inspection have been studied for a long time and many mobile mechanisms have been proposed to achieve the inspection task within pipelines. Localization is an important factor for inpipe robot to perform a successful autonomous operation. However, because of its unique characteristics of inpipe condition, sensors which have good performance in localization, like GPS and beacon, cannot be used. In this paper, a localization using elbow detection is presented. With the laser light image processing and the angular velocity of IMU, the odometry module of robot determines whether it is on straight pipe or elbow, and minimizes the integration error in orientation. The experiment environment has consisted of two straight pipes and an elbow, and the pipe map has been constructed as the result.","PeriodicalId":431699,"journal":{"name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2013.6677474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Robots for pipe inspection have been studied for a long time and many mobile mechanisms have been proposed to achieve the inspection task within pipelines. Localization is an important factor for inpipe robot to perform a successful autonomous operation. However, because of its unique characteristics of inpipe condition, sensors which have good performance in localization, like GPS and beacon, cannot be used. In this paper, a localization using elbow detection is presented. With the laser light image processing and the angular velocity of IMU, the odometry module of robot determines whether it is on straight pipe or elbow, and minimizes the integration error in orientation. The experiment environment has consisted of two straight pipes and an elbow, and the pipe map has been constructed as the result.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用激光笔对管道内移动机器人进行弯头检测定位
管道检测机器人的研究已经进行了很长时间,并提出了许多移动机构来完成管道内的检测任务。定位是管道机器人自主操作成功的重要因素。然而,由于其独特的管道状态特性,GPS、信标等定位性能良好的传感器无法使用。本文提出了一种基于弯头检测的定位方法。通过激光光图像处理和IMU的角速度,机器人测程模块确定其是在直管上还是弯头上,并使方向上的积分误差最小化。实验环境由两根直管和一根弯头组成,并据此绘制了管道图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Leader-follower formation control using infrared camera with reflective tag Optimal mission planning for underwater environment Mobile robot localization using indistinguishable artificial landmarks A study of collision avoidance between service robot and human at corner — Analysis of human behavior at corner Concept of variable transmission for tendon driven mechanism
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1