RemoveDEBRIS: An in-orbit active debris removal demonstration mission
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Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions.
“Autonomous navigation about a noncooperative Resident Space Object (RSO) is an enabling technology for future inorbit servicing and space logistics missions, such as refueling space assets [1] and active debris removal [2].”
From SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap (2022) · cites this paper as [2]
Cited by
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Spacecraft pose estimation dataset (speed)
Sharma, S., Park, T. H., & D'Amico, S. (2026) · Stanford Digital Repository · doi:10.25740/dz692fn7184 · Cited by 304
Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results
Kisantal, M., Sharma, S., Park, T. H., Izzo, D., Martens, M., & D'Amico, S. (2020) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2020.2989063 · Cited by 304 · see citing works
“These include the RemoveDEBRIS mission by the Surrey Space Centre [1], the Phoenix program by the Defense Advanced Research Projects Agency [2], the Restore-L mission by NASA [3], and the on-orbit servicing programs proposed by startup companies such as Infinite Orbits1 and Effective Space.”
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Proenca, P. F., & Gao, Y. (2020) · 2020 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra40945.2020.9197244 · Cited by 229 · see citing works
Neural Network-Based Pose Estimation for Noncooperative Spacecraft Rendezvous
Sharma, S., & D'Amico, S. (2020) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2020.2999148 · Cited by 196 · see citing works
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Park, T. H., Martens, M., Lecuyer, G., Izzo, D., & D'Amico, S. (2022) · 2022 IEEE Aerospace Conference (AERO) · doi:10.1109/aero53065.2022.9843439 · Cited by 170 · see citing works
Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap
Park, T. H., & D’Amico, S. (2024) · Advances in Space Research · doi:10.1016/j.asr.2023.03.036 · Cited by 125 · see citing works
Satellite Pose Estimation Competition 2021: Results and Analyses
Park, T. H., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T.-J., Izzo, D., & D’Amico, S. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.01.002 · Cited by 91 · see citing works
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
Dung, H. A., Chen, B., & Chin, T.-J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00229 · Cited by 69 · see citing works
Wang, Z., Chen, M., Guo, Y., Li, Z., & Yu, Q. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3250385 · Cited by 64 · see citing works
Park, T. H., & D’Amico, S. (2023) · Journal of Guidance, Control, and Dynamics · doi:10.2514/1.g007387 · Cited by 63 · see citing works
Revisiting Monocular Satellite Pose Estimation With Transformer
Wang, Z., Zhang, Z., Sun, X., Li, Z., & Yu, Q. (2022) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2022.3161605 · Cited by 59 · see citing works
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering
Proenca, P. F., & Gao, Y. (2019) · arXiv · Cited by 251 · see citing works
On-Board Cooperative Spacecraft Relative Navigation Fusing GNSS with Vision
Capuano, V., Harvard, A., & Chung, S.-J. (2022) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2021.100761 · Cited by 39 · see citing works
SmallSats: a new technological frontier in ecology and conservation?
Curnick, D. J., Davies, A. J., Duncan, C., Freeman, R., Jacoby, D. M. P., Shelley, H. T. E., Rossi, C., Wearn, O. R., Williamson, M. J., & Pettorelli, N. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.239 · Cited by 34 · see citing works
Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks
Sharma, S., & D'Amico, S. (2019) · arXiv · Cited by 40 · see citing works
Domain Generalization for In-Orbit 6D Pose Estimation
Legrand, A., Detry, R., & De Vleeschouwer, C. (2025) · Journal of Aerospace Information Systems · doi:10.2514/1.i011498 · Cited by 7 · see citing works
“Future space missions such as space debris mitigation [1, 2, 3] or on-orbit servicing [4, 5] ( e.g ., refueling, repairing or inspection of end-of-life satellites) are gaining in interest among both space agencies [4, 1, 2] and private companies [3, 5].”
Background
- Authors
- Forshaw, J. L., Aglietti, G. S., Navarathinam, N., Kadhem, H., Salmon, T., Pisseloup, A., Joffre, E., Chabot, T., Retat, I., Axthelm, R., Barraclough, S., Ratcliffe, A., Bernal, C., Chaumette, F., Pollini, A., & Steyn, W. H.
- Affiliations
- University of Surrey (GB)
- Surrey Satellite Technology (United Kingdom) (GB)
- Airbus Defence and Space GmbH (Germany) (DE)
- Airbus (France) (FR)
- Innovative Solution In Space (Netherlands) (NL)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Swiss Center for Electronics and Microtechnology (Switzerland) (CH)
- Stellenbosch University (ZA)
- Corresponding author
- Forshaw, Jason L.
- Venue
- Acta Astronautica
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 127
- Pages
- 448-463
- ISSN
- 0094-5765 (ISSN-L)
- OpenAlex
- W2461941265
- Cited by
- 217
- References
- 0
- Citations by year
- 2026: 28 · 2025: 27 · 2024: 27 · 2023: 20 · 2022: 21 · 2021: 31 · 2020: 26 · 2019: 22 · 2018: 3 · 2017: 10 · 2016: 2
- FWCI
- 15.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Acta Astronautica (publishedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Space exploration and regulation
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Design and Technology
- Keywords
- active debris removal, space debris, net capture, visual navigation, LiDAR, drag sail, in-orbit demonstration
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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