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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 or provided a broader review on cooperative as well as uncooperative targets by including monocular- as well as stereo- and LIDAR-based systems.
“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]
The architecture in [9] shows improvements over previous IP and pose estimation techniques [15,11,10].
“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]
Stereo cameras and LIDAR sensors are less flexible and less convenient in terms of operational range, mass, power consumption and processing power.
“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]
Several approaches exist to estimate target moment of inertia with stereo cameras or active sensors such as LIDARs.
“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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Self-citationZhang, C., Guo, Y., Meng, D., Zhu, W., Li, W., Peng, J., & Liang, B. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2023.108484 · Cited by 25
Stereovision-based relative states and inertia parameter estimation of noncooperative spacecraft
Wang, X., Wang, Z., & Zhang, Y. (2018) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/0954410018782021 · Cited by 24
Optical-aided, autonomous and optimal space rendezvous with a non-cooperative target
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Stereo Event-Based, 6-DOF Pose Tracking for Uncooperative Spacecraft
Liu, Z., Guan, B., Shang, Y., Bian, Y., Sun, P., & Yu, Q. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3530915 · Cited by 25
Analysis of the space debris objects nozzle capture dynamic processed by a telescopic robotic arm
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Real-Time Vision-Based Pose Tracking of Spacecraft in Close Range Using Geometric Curve Fitting
Liu, C., Guo, W., Hu, W., Chen, R., & Liu, J. (2020) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2020.2996074 · Cited by 22
Pose Estimation of Non-Cooperative Space Targets Based on Cross-Source Point Cloud Fusion
Li, J., Zhuang, Y., Peng, Q., & Zhao, L. (2021) · Remote Sensing · doi:10.3390/rs13214239 · Cited by 22
SU-Net: pose estimation network for non-cooperative spacecraft on-orbit
Gao, H., Li, Z., Wang, N., Yang, J., & Dang, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-38974-1 · Cited by 25
Harvard, A., Capuano, V., Shao, E., & Chung, S. (2020) · AIAA SciTech Forum · doi:10.2514/6.2020-1874 · Cited by 23
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A new approach for the estimation of non-cooperative satellites based on circular feature extraction
Liu, Y., Xie, Z., Zhang, Q., Zhao, X., & Liu, H. (2020) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2020.103532 · Cited by 21
An Improved Deep Keypoint Detection Network for Space Targets Pose Estimation
Xu, J., Song, B., Yang, X. C., & Nan, X. (2020) · Remote Sensing · doi:10.3390/rs12233857 · Cited by 21
Capturing dynamics of a space manipulator end-effector with snare capture and retract operations
Li, H., Liu, Q., Wu, S., Ma, W., & Wang, Z. (2023) · Aerospace Science and Technology · doi:10.1016/j.ast.2023.108239 · Cited by 21
Adaptive space debris capture approach based on origami principle
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Volpe, R., Circi, C., Sabatini, M., & Palmerini, G. B. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.10.038 · Cited by 20
Relative Stereovision-Based Navigation for Noncooperative Spacecraft via Feature Extraction
Hu, Q., & Jiang, C. (2021) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2021.3128402 · Cited by 20
System Design for Pose Determination of Spacecraft Using Time-of-Flight Sensors
Zhu, W., Mu, J., Shao, C., Hu, J., Wang, B., Wen, Z., Han, F., & Li, S. (2022) · Space Science & Technology · doi:10.34133/2022/9763198 · Cited by 20
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Adaptive control of space proximity missions with constrained relative states, faults and saturation
Sun, L., & Jiang, J. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.05.016 · Cited by 20
Civardi, G. L., Bechini, M., Quirino, M., Colombo, A., Piccinin, M., & Lavagna, M. R. (2023) · Advances in Space Research · doi:10.1016/j.asr.2023.03.022 · Cited by 19
Three-line structured light vision system for non-cooperative satellites in proximity operations
Liu, Y., Xie, Z., & Hong, L. I. U. (2019) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2019.08.024 · Cited by 19
Tracking Model Predictive Control for Docking Maneuvers of a CubeSat with a Big Spacecraft
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Monocular Pose Estimation of an Uncooperative Spacecraft Using Convexity Defect Features
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Muralidharan, V., Makhdoomi, M. R., Barad, K. R., Amaya-Mejía, L. M., Howell, K. C., Martínez, C., & Olivares-Méndez, M. A. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.06.028 · Cited by 18
Decentralized formation pose estimation for spacecraft swarms
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Constrained Kalman filter for uncooperative spacecraft estimation by stereovision
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Image-based control for rendezvous and synchronization with a tumbling space debris
Zhao, X., Emami, M. R., & Zhang, S. (2020) · Acta Astronautica · doi:10.1016/j.actaastro.2020.10.019 · Cited by 18
Coupled orbital and attitude control in spacecraft rendezvous and soft docking
Yang, Y. (2018) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/0954410018792991 · Cited by 17
Robust deep learning LiDAR-based pose estimation for autonomous space landers
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Pose Measurement for Non-Cooperative Target Based on Visual Information
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Deep-Learning-Based Direct Attitude Estimation for Uncooperative Known Space Objects
Qiao, S., Zhang, H., Xie, F., & Jiang, Z. (2023) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3325801 · Cited by 19
A comprehensive study on PnP-based pipeline for pose estimation of noncooperative satellite
Yu, Y., Wang, Z., Li, Z., & Yu, Q. (2024) · Acta Astronautica · doi:10.1016/j.actaastro.2024.08.027 · Cited by 16
CNN-Based Pose Estimation of a Noncooperative Spacecraft With Symmetries From LiDAR Point Clouds
Renaut, L., Frei, H., & Nüchter, A. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2024.3517574 · Cited by 17
Relative Pose and Inertia Determination of Unknown Satellite Using Monocular Vision
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Monocular Vision-Based Pose Determination in Close Proximity for Low Impact Docking
Liu, G., Xu, C., Zhu, Y., & Zhao, J. (2019) · Sensors · doi:10.3390/s19153261 · Cited by 16
Risk Index for the Optimal Ranking of Active Debris Removal Targets
Servadio, S., Simha, N., Gusmini, D., Jang, D., Francis, T. S., D’Ambrosio, A., Lavezzi, G., & Linares, R. (2023) · Journal of Spacecraft and Rockets · doi:10.2514/1.a35752 · Cited by 15
Visual Servoing for Robotic On-Orbit Servicing: A Survey
Amaya-Mejía, L. M., Ghita, M., Dentler, J., Olivares-Méndez, M. A., & Martínez, C. (2024) · International Conference on Space Robotics (iSpaRo) · doi:10.1109/isparo60631.2024.10687516 · Cited by 15
Zhao, D., Sun, C., Zhu, Z., Wan, W., Zheng, Z., & Yuan, J. (2021) · Acta Astronautica · doi:10.1016/j.actaastro.2021.04.029 · Cited by 15
Pose and motion estimation of unknown tumbling spacecraft using stereoscopic vision
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
Renaut, L., Frei, H., & Nüchter, A. (2023) · Remote Sensing · doi:10.3390/rs15092286 · Cited by 14
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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