Autonomous relative navigation around uncooperative spacecraft based on a single camera
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Due to the capability to detect particular spacecraft components, Pesce et al.'s estimation scheme proved robust with respect to spacecraft symmetry.
“Due to 410 the capability to detect particular spacecraft components, their estimation scheme proved to be robust with respect to spacecraft symmetry.”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [19]
In section 1) (page unavailable), the paper describes identifying image features associated with particular spacecraft components, such as solar arrays, telescopes and antennas. It does not say or demonstrate that this capability makes the estimation scheme robust to spacecraft symmetry; its stated robustness result concerns unfavorable observation geometries, not symmetry. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe SoftPosIt algorithm was included in Pesce et al.'s scheme to solve for pose tracking.
“The SoftPosIt algorithm was further included to solve for the pose tracking.”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [19]
Pesce et al. [19] proposed a novel pose estimation scheme in which the RANSAC algorithm is used in combination with Principal Component Analysis.
“Furthermore, Pesce et al. [19] proposed a novel pose estimation scheme in which the RANSAC algorithm is used in combination with the Principal Component Analy-”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [19]
No perturbation models were included in both filters of [19].
“Notice also that no perturbation models were included in both filters.”
From Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft (2019) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589 · see citing works
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751 · see citing works
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004 · see citing works
Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893 · see citing works
Wold, S., Esbensen, K. H., & Geladi, P. L. M. (1987) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(87)80084-9 · Cited by 11,792 · see citing works
ORB: An efficient alternative to SIFT or SURF
Rublee, E., Rabaud, V., Konolige, K., & Bradski, G. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126544 · Cited by 11,037 · see citing works
Shi, J., & Tomasi (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323794 · Cited by 7,724 · see citing works
Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches
Simon, D. (2006) · doi:10.1002/0470045345 · Cited by 4,875 · see citing works
2013 IEEE International Conference on Computer Vision
(2013) · doi:10.1109/iccv19984.2013 · Cited by 4,232 · see citing works
EPnP: An Accurate O(n) Solution to the PnP Problem
Lepetit, V., Moreno-Noguer, F., & Fua, P. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-008-0152-6 · Cited by 3,298 · see citing works
Terminal Guidance System for Satellite Rendezvous
Clohessy, W. H., & Wiltshire, R. (1960) · Journal of the aerospace sciences/Journal of the aero/space sciences · doi:10.2514/8.8704 · Cited by 2,093 · see citing works
A four-step camera calibration procedure with implicit image correction
Heikkilä, J., & Sílven, O. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1997.609468 · Cited by 2,085 · see citing works
2011 IEEE International Conference on Robotics and Automation
(2011) · doi:10.1109/icra15140.2011 · Cited by 1,228 · see citing works
A graduated assignment algorithm for graph matching
Gold, S., & Rangarajan, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.491619 · Cited by 1,090 · see citing works
Model-based object pose in 25 lines of code
DeMenthon, D., & Davis, L. S. (1995) · International Journal of Computer Vision · doi:10.1007/bf01450852 · Cited by 1,013 · see citing works
A Terminal Guidance System for Satellite Rendezvous
Clohessy, W. H. (1960) · Medical Entomology and Zoology · Cited by 888 · see citing works
Optimal State Estimation Kalman, Hoo and Nonlinear Approches
Simon, D. (2006) · CiteSeer X (The Pennsylvania State University) · Cited by 830 · see citing works
New State Transition Matrix for Relative Motion on an Arbitrary Elliptical Orbit
Yamanaka, K., & Ankersen, F. (2002) · Journal of Guidance Control and Dynamics · doi:10.2514/2.4875 · Cited by 576 · see citing works
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.07.001 · Cited by 330 · see citing works
Self-citationQuaternion Attitude Estimation Using Vector Observations
Markley, F. L., & Mortari, D. (2000) · The Journal of the Astronautical Sciences · doi:10.1007/bf03546284 · Cited by 329 · see citing works
SoftPOSIT: Simultaneous Pose and Correspondence Determination
David, P., Dementhon, D. F., Ramani Duraiswami, B., & Samet, H. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000025800.10423.1f · Cited by 237 · see citing works
Maximum-likelihood recursive nonlinear filtering
Mortensen, R. E. (1968) · Journal of Optimization Theory and Applications · doi:10.1007/bf00925744 · Cited by 231 · see citing works
Survey on Guidance Navigation and Control Requirements for Spacecraft Formation-Flying Missions
Mauro, G. D., Lawn, M., & Bevilacqua, R. (2017) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g002868 · Cited by 192 · see citing works
Segal, S., Carmi, A. Y., & Gurfil, P. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2255288 · Cited by 172 · see citing works
Gradient-Like Observers for Invariant Dynamics on a Lie Group
Lageman, C., Trumpf, J., & Mahony, R. E. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2034937 · Cited by 160 · see citing works
State, shape, and parameter estimation of space objects from range images
Lichter, M. D., & Dubowsky, S. (2004) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2004.1307513 · Cited by 141 · see citing works
Pose estimation of an uncooperative spacecraft from actual space imagery
D', S., Amico, N. A., Benn, M., & Jørgensen, J. L. (2014) · International Journal of Space Science and Engineering · doi:10.1504/ijspacese.2014.060600 · Cited by 132 · see citing works
Gurfil, P. (2005) · Journal of Guidance Control and Dynamics · doi:10.2514/1.9439 · Cited by 131 · see citing works
Robust Model-Based Monocular Pose Initialization for Noncooperative Spacecraft Rendezvous
Sharma, S., Ventura, J., & D’Amico, S. (2018) · Journal of Spacecraft and Rockets · doi:10.2514/1.a34124 · Cited by 128 · see citing works
Spacecraft Autonomy Challenges for Next-Generation Space Missions
Starek, J. A., Acikmese, B. A., Nesnas, I., & Pavone, M. (2015) · Lecture notes in control and information sciences · doi:10.1007/978-3-662-47694-9_1 · Cited by 126 · see citing works
AIAA/AAS Astrodynamics Specialist Conference
(2016) · doi:10.2514/mast16 · Cited by 125 · see citing works
Effect of Kinematic Rotation-Translation Coupling on Relative Spacecraft Translational Dynamics
Segal, S., & Gurfil, P. (2009) · Journal of Guidance Control and Dynamics · doi:10.2514/1.39320 · Cited by 121 · see citing works
Stereovision-based pose and inertia estimation of unknown and uncooperative space objects
Pesce, V., Lavagna, M. R., & Bevilacqua, R. (2016) · Advances in Space Research · doi:10.1016/j.asr.2016.10.002 · Cited by 111 · see citing works
Self-citationComparative assessment of techniques for initial pose estimation using monocular vision
Sharma, S., & D׳Amico, S. (2016) · Acta Astronautica · doi:10.1016/j.actaastro.2015.12.032 · Cited by 94 · see citing works
Relative Computer Vision-Based Navigation for Small Inspection Spacecraft
Tweddle, B. E., & Saenz‐Otero, A. (2014) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g000687 · Cited by 90 · see citing works
Minimum-Energy Filtering for Attitude Estimation
Zamani, M., Trumpf, J., & Mahony, R. E. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2259092 · Cited by 71 · see citing works
Accurate and autonomous navigation for the ATV
Pinard, D., Reynaud, S., Delpy, P., et al. (2007) · Aerospace Science and Technology · doi:10.1016/j.ast.2007.02.009 · Cited by 65 · see citing works
Direct image-based visual servoing of free-floating space manipulators
Alepuz, J. P., Emami, M. R., & Pomares, J. (2016) · Aerospace Science and Technology · doi:10.1016/j.ast.2016.05.012 · Cited by 48 · see citing works
Comparison of filtering techniques for relative attitude estimation of uncooperative space objects
Pesce, V., Haydar, M. F., Lavagna, M. R., & Lovera, M. (2018) · Aerospace Science and Technology · doi:10.1016/j.ast.2018.10.031 · Cited by 48 · see citing works
Self-citationImproved frame-to-frame pose tracking during vision-only SLAM/SFM with a tumbling target
Augenstein, S., & Rock, S. M. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980232 · Cited by 41 · see citing works
Image-based attitude maneuvers for space debris tracking
Felicetti, L., & Emami, M. R. (2018) · Aerospace Science and Technology · doi:10.1016/j.ast.2018.02.002 · Cited by 39 · see citing works
Naasz, B. J., Burns, R. D., Queen, S. Z., Van Eepoel, J., Hannah, J., & Skelton, E. (2009) · The Journal of the Astronautical Sciences · doi:10.1007/bf03321512 · Cited by 37 · see citing works
Second-Order-Optimal Minimum-Energy Filters on Lie Groups
Saccon, A., Trumpf, J., Mahony, R. E., et al. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2506662 · Cited by 33 · see citing works
Pose and Shape Reconstruction of a Noncooperative Spacecraft Using Camera and Range Measurements
Volpe, R., Sabatini, M., & Palmerini, G. B. (2017) · International Journal of Aerospace Engineering · doi:10.1155/2017/4535316 · Cited by 33 · see citing works
Relative attitude and position estimation for a tumbling spacecraft
Zhang, L., Zhang, S., Yang, H., Cai, H., & Qian, S. (2015) · Aerospace Science and Technology · doi:10.1016/j.ast.2014.12.025 · Cited by 31 · see citing works
Direction Cosine Matrix Estimation from Vector Observations using a Matrix Kalman Filter
Choukroun, D., Weiss, H., Bar‐Itzhack, I. Y., et al. (2010) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2010.5417148 · Cited by 31 · see citing works
Design of relative trajectories for in orbit proximity operations
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2018) · Acta Astronautica · doi:10.1016/j.actaastro.2018.01.062 · Cited by 30 · see citing works
Self-citationAdvances in Control System Technology for Aerospace Applications
Féron, É. (2015) · Lecture notes in control and information sciences · doi:10.1007/978-3-662-47694-9 · Cited by 29 · see citing works
Scene Reconstruction Pose Estimation and Tracking
Stolkin, R. (2007) · doi:10.5772/41 · Cited by 27 · see citing works
LIDAR-based Relative Navigation of Non-Cooperative Objects Using Point Cloud Descriptors
Rhodes, A. P., Kim, E. S., Christian, J. A., & Evans, T. H. (2016) · AIAA/AAS Astrodynamics Specialist Conference and Exhibit · doi:10.2514/6.2016-5517 · Cited by 25 · see citing works
An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques
Doignon, C. (2007) · doi:10.5772/4943 · Cited by 18 · see citing works
Nonlinear Attitude Filtering: A Comparison StudyPreprint
Zamani, M., Trumpf, J., & Mahony, R. E. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1502.03990 · Cited by 17 · see citing works
A novel decentralized relative navigation algorithm for spacecraft formation flying
Wang, X., Qin, W., Bai, Y., & Cui, N. (2015) · Aerospace Science and Technology · doi:10.1016/j.ast.2015.10.014 · Cited by 17 · see citing works
Yuan, J., Hou, X., Sun, C., & Cheng, Y. (2018) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/0954410017751766 · Cited by 15 · see citing works
On the design of synergistic potential functions on SO(3)
Berkane, S., & Tayebi, A. (2015) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2015.7402120 · Cited by 12 · see citing works
An overview of the XMM observatory system.
Barré, H., Nye, H. R., & Janin, G. (1999) · ESA Bulletin · Cited by 8 · see citing works
Preliminary analysis of visual navigation performance in close formation flying
Volpe, R., Palmerini, G. B., & Circi, C. (2017) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2017.7943759 · Cited by 7 · see citing works
Mechanical and thermal design of XMM.
van Katwijk, K., van der Laan, T., & Stramaccioni, D. (1999) · ESA Bulletin · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Clerc, X., and Retat, I., "Astrium vision on space debris removal," Proceeding of the 63rd International Astronautical Congress (IAC 2012), Napoli, Italy, Vol. 15, 2012.
Cited by
Sorted by citations
Pasqualetto Cassinis, L., Fonod, R., & Gill, E. (2019) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2019.05.008 · Cited by 156 · see citing works
Pesce, V., Silvestrini, S., & Lavagna, M. (2020) · Aerospace Science and Technology · doi:10.1016/j.ast.2019.105527 · Cited by 95 · see citing works
Self-citationHuo, Y., Li, Z., & Zhang, F. (2020) · IEEE Access · doi:10.1109/access.2020.3041415 · Cited by 44 · see citing works
Guidance, navigation and control for 6DOF rendezvous in Cislunar multi-body environment
Colagrossi, A., Pesce, V., Bucci, L., Colombi, F., & Lavagna, M. (2021) · Aerospace Science and Technology · doi:10.1016/j.ast.2021.106751 · Cited by 36 · see citing works
Self-citation
- Authors
- Pesce, V., Opromolla, R., Sarno, S., Lavagna, M., & Grassi, M.
- Affiliations
- Politecnico di Milano (IT)
- University of Naples Federico II (IT)
- University of Campania "Luigi Vanvitelli" (IT)
- Corresponding author
- Pesce, Vincenzo
- Venue
- Aerospace Science and Technology
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 84
- Pages
- 1070-1080
- ISSN
- 1270-9638 (ISSN-L)
- OpenAlex
- W2903565082
- Cited by
- 80
- References
- 58
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 10 · 2023: 11 · 2022: 6 · 2021: 15 · 2020: 13 · 2019: 9
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aerospace Science and Technology (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Physical Sciences › Engineering › Aerospace Engineering › Guidance and Control Systems
- Keywords
- relative navigation, single camera, on-orbit servicing, active debris removal, chaser spacecraft, pose estimation, relative state estimation, loosely coupled architecture, filtering schemes, measurement error robustness
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
