{"title":"基于图像的变电站巡检机器人精确对准","authors":"J. Liu, Ming Nie, Hao Wu, Xiaoming Mai","doi":"10.1109/POWERCON.2018.8602257","DOIUrl":null,"url":null,"abstract":"The precision of SLAM navigation positioning algorithm based on laser ranging, especially in complex scenes, is not satisfied to meet the accuracy requirements for automatic meter reading and isolating switch status reading. A method of PTZ accurate alignment for substation inspection robot is based on monocular vision camera is proposed. The desired position of robot and orientation of PTZ(Pan Tilt Zoom) camera are defined by the pre-capture reference image. The Scale Invariant Feature Transform (SIFT) algorithm is applied to extract the visual feedback information by matching the current view and the reference image. A Random Sample Consensus (RANSAC) algorithm is used to solve the affine transform between the current and reference image. The Jacobian matrix, representing the mapping relationship, is created by processing control signal of the PTZ control platform and feature space for the image. Besides this, PTZ accurate alignment is realized combined with the image multi-scale transformation. The experiment results of a realistic outdoor substation environment demonstrate the effectiveness of the processed method.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An image-based Accurate Alignment for Substation Inspection Robot\",\"authors\":\"J. Liu, Ming Nie, Hao Wu, Xiaoming Mai\",\"doi\":\"10.1109/POWERCON.2018.8602257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The precision of SLAM navigation positioning algorithm based on laser ranging, especially in complex scenes, is not satisfied to meet the accuracy requirements for automatic meter reading and isolating switch status reading. A method of PTZ accurate alignment for substation inspection robot is based on monocular vision camera is proposed. The desired position of robot and orientation of PTZ(Pan Tilt Zoom) camera are defined by the pre-capture reference image. The Scale Invariant Feature Transform (SIFT) algorithm is applied to extract the visual feedback information by matching the current view and the reference image. A Random Sample Consensus (RANSAC) algorithm is used to solve the affine transform between the current and reference image. The Jacobian matrix, representing the mapping relationship, is created by processing control signal of the PTZ control platform and feature space for the image. Besides this, PTZ accurate alignment is realized combined with the image multi-scale transformation. The experiment results of a realistic outdoor substation environment demonstrate the effectiveness of the processed method.\",\"PeriodicalId\":260947,\"journal\":{\"name\":\"2018 International Conference on Power System Technology (POWERCON)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Power System Technology (POWERCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERCON.2018.8602257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power System Technology (POWERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERCON.2018.8602257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An image-based Accurate Alignment for Substation Inspection Robot
The precision of SLAM navigation positioning algorithm based on laser ranging, especially in complex scenes, is not satisfied to meet the accuracy requirements for automatic meter reading and isolating switch status reading. A method of PTZ accurate alignment for substation inspection robot is based on monocular vision camera is proposed. The desired position of robot and orientation of PTZ(Pan Tilt Zoom) camera are defined by the pre-capture reference image. The Scale Invariant Feature Transform (SIFT) algorithm is applied to extract the visual feedback information by matching the current view and the reference image. A Random Sample Consensus (RANSAC) algorithm is used to solve the affine transform between the current and reference image. The Jacobian matrix, representing the mapping relationship, is created by processing control signal of the PTZ control platform and feature space for the image. Besides this, PTZ accurate alignment is realized combined with the image multi-scale transformation. The experiment results of a realistic outdoor substation environment demonstrate the effectiveness of the processed method.