Pose Estimation for Spacecraft Relative Navigation Using Model-Based Algorithms

This paper presents the performance assessment of innovative model-based algorithms developed for pose estimation of uncooperative targets by processing sparse three-dimensional point clouds. This topic is of interest in the framework of advanced space applications, e.g., on-orbit servicing and acti...

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Bibliographic Details
Published in:	IEEE transactions on aerospace and electronic systems Vol. 53; no. 1; pp. 431 - 447
Main Authors:	Opromolla, Roberto, Fasano, Giancarmine, Rufino, Giancarlo, Grassi, Michele
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Autonomous navigation Data storage Feature extraction Iterative algorithms Iterative closest point algorithm Laser radar LIDAR Maneuvers Mathematical models Model matching Orbital servicing Performance assessment Pose estimation principal component analysis (PCA) Principal components analysis Robustness (mathematics) Space applications Space debris mitigation Spacecraft spacecraft relative navigation Target tracking Template matching Three-dimensional displays Tracking uncooperative target
ISSN:	0018-9251, 1557-9603
Online Access:	Get full text
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