R. Opromolla, Marco Z. Di Fraia, G. Fasano, G. Rufino, M. Grassi
{"title":"非合作航天器位姿确定算法的实验室试验","authors":"R. Opromolla, Marco Z. Di Fraia, G. Fasano, G. Rufino, M. Grassi","doi":"10.1109/METROAEROSPACE.2017.7999558","DOIUrl":null,"url":null,"abstract":"This paper presents an experimental activity carried out to evaluate the performance of LIDAR-based algorithms for pose determination of uncooperative space targets. The test setup includes a scanning LIDAR and a monocular camera mounted with a fixed relative geometry, providing 3D (point cloud) and 2D (image) representations of the same scene within the shared portion of their respective Field-of-Views. A scaled satellite mock-up is used as target. The target pose with respect to the camera, computed implementing a standard solution to the Perspective-n-Points problem, is exploited as a reference to verify the performance of the LIDAR-based pose estimation process. To this end, an original semi-analytical approach is developed to determine the relative extrinsic calibration between camera and LIDAR.","PeriodicalId":229414,"journal":{"name":"2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Laboratory test of pose determination algorithms for uncooperative spacecraft\",\"authors\":\"R. Opromolla, Marco Z. Di Fraia, G. Fasano, G. Rufino, M. Grassi\",\"doi\":\"10.1109/METROAEROSPACE.2017.7999558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an experimental activity carried out to evaluate the performance of LIDAR-based algorithms for pose determination of uncooperative space targets. The test setup includes a scanning LIDAR and a monocular camera mounted with a fixed relative geometry, providing 3D (point cloud) and 2D (image) representations of the same scene within the shared portion of their respective Field-of-Views. A scaled satellite mock-up is used as target. The target pose with respect to the camera, computed implementing a standard solution to the Perspective-n-Points problem, is exploited as a reference to verify the performance of the LIDAR-based pose estimation process. To this end, an original semi-analytical approach is developed to determine the relative extrinsic calibration between camera and LIDAR.\",\"PeriodicalId\":229414,\"journal\":{\"name\":\"2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METROAEROSPACE.2017.7999558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METROAEROSPACE.2017.7999558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Laboratory test of pose determination algorithms for uncooperative spacecraft
This paper presents an experimental activity carried out to evaluate the performance of LIDAR-based algorithms for pose determination of uncooperative space targets. The test setup includes a scanning LIDAR and a monocular camera mounted with a fixed relative geometry, providing 3D (point cloud) and 2D (image) representations of the same scene within the shared portion of their respective Field-of-Views. A scaled satellite mock-up is used as target. The target pose with respect to the camera, computed implementing a standard solution to the Perspective-n-Points problem, is exploited as a reference to verify the performance of the LIDAR-based pose estimation process. To this end, an original semi-analytical approach is developed to determine the relative extrinsic calibration between camera and LIDAR.