Xiaohua Tong, Yi Gao, Zhen Ye, Huan Xie, Peng Chen, Haibo Shi, Ziqi Liu, Xianglei Liu, Yusheng Xu, Rong Huang, Shijie Liu
{"title":"Dynamic measurement of a long-distance moving object using multi-binocular high-speed videogrammetry with adaptive-weighting bundle adjustment","authors":"Xiaohua Tong, Yi Gao, Zhen Ye, Huan Xie, Peng Chen, Haibo Shi, Ziqi Liu, Xianglei Liu, Yusheng Xu, Rong Huang, Shijie Liu","doi":"10.1111/phor.12485","DOIUrl":null,"url":null,"abstract":"The dynamic measurement of position and attitude information of a long-distance moving object is a common demand in ground testing of aerospace engineering. Due to the movement from far to near and the limitations of camera resolution, it is necessary to use multi-binocular cameras for segmented observation at different distances. However, achieving accurate and continuous position and attitude estimation is a challenging task. Therefore, this paper proposes a dynamic monitoring technique for long-distance movement based on a multi-binocular videogrammetric system. Aiming to solve the problem that the scale in images changes constantly during the moving process, a scale-adaptive tracking method of circular targets is presented. Bundle adjustment (BA) with joint segments using an adaptive-weighting least-squares strategy is developed to enhance the measurement accuracy. The feasibility and reliability of the proposed technique are validated by a ground testing of relative measurement for spacecraft rendezvous and docking. The experimental results indicate that the proposed technique can obtain the actual motion state of the moving object, with a positioning accuracy of 3.2 mm (root mean square error), which can provide a reliable third-party verification for on-orbit measurement systems in ground testing. Compared with the results of BA with individual segments and vision measurement software PhotoModeler, the accuracy is improved by 45% and 30%, respectively.","PeriodicalId":22881,"journal":{"name":"The Photogrammetric Record","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Photogrammetric Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/phor.12485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The dynamic measurement of position and attitude information of a long-distance moving object is a common demand in ground testing of aerospace engineering. Due to the movement from far to near and the limitations of camera resolution, it is necessary to use multi-binocular cameras for segmented observation at different distances. However, achieving accurate and continuous position and attitude estimation is a challenging task. Therefore, this paper proposes a dynamic monitoring technique for long-distance movement based on a multi-binocular videogrammetric system. Aiming to solve the problem that the scale in images changes constantly during the moving process, a scale-adaptive tracking method of circular targets is presented. Bundle adjustment (BA) with joint segments using an adaptive-weighting least-squares strategy is developed to enhance the measurement accuracy. The feasibility and reliability of the proposed technique are validated by a ground testing of relative measurement for spacecraft rendezvous and docking. The experimental results indicate that the proposed technique can obtain the actual motion state of the moving object, with a positioning accuracy of 3.2 mm (root mean square error), which can provide a reliable third-party verification for on-orbit measurement systems in ground testing. Compared with the results of BA with individual segments and vision measurement software PhotoModeler, the accuracy is improved by 45% and 30%, respectively.