Stereovision‐based Initial Pose Estimation Relative To Non‐cooperative Space Target

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Stereovision-based relative states and inertia parameter

Stereovision-based relative states Proximity estimation of the relative states of space-craft, especially in geostationary orbit (GEO), has been studied for the initial relative pose acquisi-

Pose Estimation for Non-Cooperative Spacecraft Rendezvous

Abstract On-board estimation of the pose of an uncooperative target spacecraft is an essential task for future on-orbit servicing and close-proximity formation flying missions. However, two issues hinder reliable on-board monocular vision based pose estimation: robustness to illumination conditions due to a lack of

LiDAR-Based Non-Cooperative Tumbling Spacecraft Pose Tracking

For approaching the tumbling non-cooperative target in close range, the simulated sensor data are generated and the numerical simulations are conducted. The rest of this paper is arranged as follows: in Section2, we describe the proposed relative pose estimation method in detail. The experimental results and the discussion are presented in

Stereoscopic Vision-Based Spacecraft Relative State Estimation

related issues include space-borne tracking of a non-cooperative satellite of GPS sensing for relative pose estimation, Ref. 9 introduced addition to the target structure. The estimation

Stereovision-based pose and inertia estimation of unknown and

relative pose estimation of an uncooperative object. How-ever, they use a simple equation for the propagation of the state that does not involve any inertia information. Another aspect to take into account, when dealing with filtering procedure, is that the initial condition of the rela-tive state has to be accurate enough. Several works are pre-

Stereovision‐based initial pose estimation relative to non

Stereovision-based initial pose estimation relative to non-cooperative space target ISSN 1751-8784 Received on 26th September 2019 Revised 26th September 2019 Accepted on 21st January 2020 E-First on 21st May 2020 doi: 10.1049/iet-rsn.2019.0476 Chengguang Zhu1, Jiankang Zhao1, Hongyu Wang1, Haihui Long1, Xuan Xia2


initial pose can then be used to kick start a navigation filter or be refined to provide a finer pose estimate. The input to this algorithm is a RGB image of a target satellite taken at close proximity (<10 [m] intersatellite separation). It then uses a Convolutional Neural Network (CNN) to output a predicted label corresponding to a region


developed a least-squares method for pose estimation us-ing various simulated range data, that also identifies the six inertial parameters and center of mass of the target. A model-free, stereo-camera based approach using an ex-tended Kalman filter was also used to estimate structure, relative pose and motion of non-cooperative targets [9].

[email protected] Research Publications at Politecnico di Milano

bution in literature, addressing relative state estimation of an uncooperative target is from LichterLichter and Dubowsky(2004),Lichter and Dubowsky (2005). He solves the problem of estimating the relative pose, motion and structure using a 3D vision sensor. This creates and processes point clouds to reconstruct the geometric shape of the object.


COMPUTER VISION FOR REAL-TIME RELATIVE NAVIGATION WITH A NON-COOPERATIVE AND SPINNING TARGET SPACECRAFT Setareh Yazdkhasti, Steve Ulrich, and Jurek Z. Sasiadek Carleton University, Ottawa, Ontario, K1S 5B6, Canada ABSTRACT Relative navigation for spacecraft has received a great at-tention recently because of its importance for space ap-plications.