The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Relative pose estimation for cylinder-shaped spacecrafts using single image
Abstract
This paper describes a novel framework to determine the relative pose and range of a solid-of-revolution-shaped spacecraft from a single image without any artificial beacons. The translation and the symmetry axis of the spacecraft can be estimated from the imaged cross sections of the spacecraft body. Then the pose and range of the spacecraft are fully determined by means of the images of its solar panels and asymmetric feature. Our method has been validated by both synthetic and real images.
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“but its application is not feasible for the pose estimation of a spacecraft of generic shape.”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [14]
In the citing paper
“Liu and Hu [14] presented a 265 robust method based on ellipses extraction for cylinder-shaped spacecraft”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [14]
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Cited by
Sorted by citations
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.07.001 · Cited by 330
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
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Metadata
- Authors
- Liu, C., & Hu, W.
- Affiliations
- Beihang University (CN)
- ORCID
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 2014-10
- Volume
- 50
- Issue
- 4
- Pages
- 3036-3056
- ISSN
- 0018-9251 (ISSN-L)
- OpenAlex
- W2064607980
- Cited by
- 101
- References
- 49
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 9 · 2023: 14 · 2022: 9 · 2021: 10 · 2020: 8 · 2019: 14 · 2018: 13 · 2017: 5 · 2016: 3 · 2015: 1 · 2014: 1
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Aerospace and Electronic Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Satellite Image Processing and Photogrammetry
- Keywords
- relative pose estimation, single image, solids of revolution, solar panels, cross-section images
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