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 configuration, 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 reference to verify the performance of the LIDAR-based pose estimate. To this end, an original semi-analytical approach is developed to determine the relative extrinsic calibration between camera and LIDAR.
Laboratory Test of Pose Determination Algorithms for Uncooperative Spacecraft / Opromolla, Roberto; Di Fraia, Marco Zaccaria; Fasano, Giancarmine; Rufino, Giancarlo; Grassi, Michele. - (2017), pp. 154-159. (Intervento presentato al convegno 4th IEEE International Workshop on Metrology for Aerospace METROAEROSPACE 2017 tenutosi a Padua (Italy) nel 21-23 June 2017) [10.1109/MetroAeroSpace.2017.7999558].
Laboratory Test of Pose Determination Algorithms for Uncooperative Spacecraft
OPROMOLLA, ROBERTO;FASANO, GIANCARMINE;RUFINO, GIANCARLO;GRASSI, MICHELE
2017
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 configuration, 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 reference to verify the performance of the LIDAR-based pose estimate. To this end, an original semi-analytical approach is developed to determine the relative extrinsic calibration between camera and LIDAR.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.