Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure

Aiming at the recognition and location of noncooperative spacecraft, this paper presents a monocular vision pose measurement method based on solar triangle structure. First of all, an autonomous recognition algorithm of feature structure based on sliding window Hough transformation (SWHT) and inscri...

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Main Authors: Jingzhou Song, Caixiu Cao
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2015/472461
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spelling doaj-b512d4916e3c4444b07b99b4d3eb35842020-11-25T00:44:58ZengHindawi LimitedJournal of Robotics1687-96001687-96192015-01-01201510.1155/2015/472461472461Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle StructureJingzhou Song0Caixiu Cao1School of Automation, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian District, Beijing 100876, ChinaSchool of Automation, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Haidian District, Beijing 100876, ChinaAiming at the recognition and location of noncooperative spacecraft, this paper presents a monocular vision pose measurement method based on solar triangle structure. First of all, an autonomous recognition algorithm of feature structure based on sliding window Hough transformation (SWHT) and inscribed circle of a triangle is proposed, and the image coordinates of feature points on the triangle can be obtained relying on this algorithm, combined with the P4P algorithm and the structure of spacecraft, calculating the relative pose of target expressed by rotation and translation matrix. The whole algorithm can be loaded into the prewritten onboard program, which will get the autocomplete feature structure extraction and relative pose measurement without human intervention, and this method does not need to mount any markers on the target. Then compare the measured values with the accurate value of the laser tracker, so that a conclusion can be drawn that the maximum position error is lower than 5% and the rotation error is lower than 4%, which meets the requirements of noncooperative spacecraft’s pose measurement for observations, tracking, and docking in the final rendezvous phase.http://dx.doi.org/10.1155/2015/472461
collection DOAJ
language English
format Article
sources DOAJ
author Jingzhou Song
Caixiu Cao
spellingShingle Jingzhou Song
Caixiu Cao
Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
Journal of Robotics
author_facet Jingzhou Song
Caixiu Cao
author_sort Jingzhou Song
title Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
title_short Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
title_full Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
title_fullStr Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
title_full_unstemmed Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure
title_sort pose self-measurement of noncooperative spacecraft based on solar panel triangle structure
publisher Hindawi Limited
series Journal of Robotics
issn 1687-9600
1687-9619
publishDate 2015-01-01
description Aiming at the recognition and location of noncooperative spacecraft, this paper presents a monocular vision pose measurement method based on solar triangle structure. First of all, an autonomous recognition algorithm of feature structure based on sliding window Hough transformation (SWHT) and inscribed circle of a triangle is proposed, and the image coordinates of feature points on the triangle can be obtained relying on this algorithm, combined with the P4P algorithm and the structure of spacecraft, calculating the relative pose of target expressed by rotation and translation matrix. The whole algorithm can be loaded into the prewritten onboard program, which will get the autocomplete feature structure extraction and relative pose measurement without human intervention, and this method does not need to mount any markers on the target. Then compare the measured values with the accurate value of the laser tracker, so that a conclusion can be drawn that the maximum position error is lower than 5% and the rotation error is lower than 4%, which meets the requirements of noncooperative spacecraft’s pose measurement for observations, tracking, and docking in the final rendezvous phase.
url http://dx.doi.org/10.1155/2015/472461
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AT caixiucao poseselfmeasurementofnoncooperativespacecraftbasedonsolarpaneltrianglestructure
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