Abstract

Pose estimation for spacecraft is widely recognized as an important technology for space applications. Many space missions require accurate relative pose between the chaser and the target spacecraft. Stereovision is a usual mean to estimate the pose of non-cooperative targets during proximity operations. In this paper, an accurate algorithm for pose estimation is proposed by taking advantage of the geometric structure of the object. With stereo cameras, our approach employs the corners of the solar panel as features and uses bundle adjustment to improve the accuracy. Simulation results demonstrate that our method improves the precision and robustness for non-cooperative spacecraft pose estimation. Our laboratory experiments further validate the approach. The results show that the rotation angle error of our method is within 0.8°, and the measurement error in translation is less than 0.4% at the distance from 3 m to 1.2 m.

© 2018 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
3D pose estimation of large and complicated workpieces based on binocular stereo vision

Zhifeng Luo, Ke Zhang, Zhigang Wang, Jian Zheng, and Yixin Chen
Appl. Opt. 56(24) 6822-6836 (2017)

Relative pose estimation for multiple cameras using Lie algebra optimization

Yubo Ni, Xiangjun Wang, and Lei Yin
Appl. Opt. 58(11) 2963-2972 (2019)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (13)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (16)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription