{"title":"Visualized Small-size Pipeline Model Building Using Multilink-articulated Wheeled In-pipe Inspection Robot","authors":"Dianzhen Guo, Zhaohan Yuan, Sheng Bao, Jianjun Yuan, Shugen Ma, Liang Du","doi":"10.1109/RCAR52367.2021.9517622","DOIUrl":null,"url":null,"abstract":"In this paper, we use a multilink-articulated wheeled in-pipe robot to develop an industrial solution for the visualized model of the small-size pipeline (less than 200mm) with unknown layout and diameter. We build visualized pipeline model based on small-size inertial measurement unit (IMU) and encoder instead of large-size optical device such as CCD cameras or radar which are expensive and complicated to operate easily. To improve the accuracy of the visualized pipeline model, a multi-sensor data fusion algorithm is developed and the error caused by the gravity factor has been eliminated by using the gradient descent algorithm. The proposed method is experimentally verified in U-Shaped pipeline.","PeriodicalId":232892,"journal":{"name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR52367.2021.9517622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we use a multilink-articulated wheeled in-pipe robot to develop an industrial solution for the visualized model of the small-size pipeline (less than 200mm) with unknown layout and diameter. We build visualized pipeline model based on small-size inertial measurement unit (IMU) and encoder instead of large-size optical device such as CCD cameras or radar which are expensive and complicated to operate easily. To improve the accuracy of the visualized pipeline model, a multi-sensor data fusion algorithm is developed and the error caused by the gravity factor has been eliminated by using the gradient descent algorithm. The proposed method is experimentally verified in U-Shaped pipeline.