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A review of cooperative and uncooperative spacecraft pose determination techniques for close-proximity operations
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“Recent surveys on the topic focused on a comparative assessment of the pose estimation solvers [11] or provided a broader review on cooperative as well as uncooperative targets by including monocular-as well as stereo-and LIDAR-based systems [10].”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [10]
In the citing paper
“In particular, this architecture shows improvements with respect to previous IP and pose estimation techniques [15,11,10].”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [10]
In the citing paper
“while on the other hand, stereo cameras and LIDAR sensors are less flex-45 ible and less convenient in terms of operational range, mass, power consumption and processing power [10].”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [10]
In the citing paper
“Several approaches exist in literature to estimate the target moment of inertia with stereo cameras or other active sensors such as LIDARs.”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [10]
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Feng, Q., Zhu, Z. H., Pan, Q., & Liu, Y. (2018) · Advances in Space Research · doi:10.1016/j.asr.2018.04.034 · Cited by 15
LIDAR-based model reconstruction for spacecraft pose determination
Perfetto, D. M., Opromolla, R., Grassi, M., & Schmitt, C. (2019) · IEEE International Workshop on Metrology for AeroSpace · doi:10.1109/metroaerospace.2019.8869585 · Cited by 8
Self-citationApproaching and pointing tracking control for tumbling target under motion constraints
Zhang, X., Geng, Y., & Wu, B. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.04.025 · Cited by 14
Lidar Pose Tracking of a Tumbling Spacecraft Using the Smoothed Normal Distribution Transform
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Metadata
- Authors
- Opromolla, R., Fasano, G., Rufino, G., & Grassi, M.
- Affiliations
- University of Naples Federico II (IT)
- Corresponding author
- Opromolla, Roberto
- Venue
- Progress in Aerospace Sciences
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 93
- Pages
- 53-72
- ISSN
- 0376-0421 (ISSN-L)
- OpenAlex
- W2739206226
- Cited by
- 330
- References
- 184
- Citations by year
- 2026: 31 · 2025: 52 · 2024: 54 · 2023: 37 · 2022: 26 · 2021: 49 · 2020: 31 · 2019: 29 · 2018: 20 · 2017: 1
- FWCI
- 20.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Aerospace Sciences (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Space Technology and Applications
- Keywords
- close proximity operations, cooperative targets, non-cooperative targets, relative navigation, electro-optical sensors, formation flying, on-orbit servicing, active debris removal, sensor architecture, target geometry
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