Deep 1D Landmark Representation Learning for Space Target Pose Estimation

Deep 1D Landmark Representation Learning for Space Target Pose Estimation

Monocular vision-based pose estimation for known uncooperative space targets plays an increasingly important role in on-orbit operations. The existing state-of-the-art methods of space target pose estimation build the 2D-3D correspondences to recover the space target pose, where space target landmar...

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Bibliographic Details
Main Authors: Shengli Liu, Xiaowen Zhu, Zewei Cao, Gang Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
pose estimation
landmark regression
space target
1D landmark representation
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/16/4035

Internet

https://www.mdpi.com/2072-4292/14/16/4035

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