{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T18:09:08Z","timestamp":1773857348800,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Preliminary Research Foundation of Equipment","award":["3050404030"],"award-info":[{"award-number":["3050404030"]}]},{"name":"Shanghai Institute of Technical Physics","award":["3050404030"],"award-info":[{"award-number":["3050404030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>It is difficult to determine the accurate pose of non-cooperative space targets in on-orbit servicing (OOS). The visual camera is easily affected by the extreme light environment in space, and the scanning lidar will have motion distortion when the target moves at high speed. Therefore, we proposed a non-cooperative target pose-estimation system combining a registration and a mapping algorithm using a TOF camera. We first introduce the projection model of the TOF camera and proposed a new calibration method. Then, we introduce the three modules of the proposed method: the TOF data preprocessing module, the registration module and the model mapping module. We assembled the experimental platform to conduct semi-physical experiments; the results showed that the proposed method has the smallest translation error 8 mm and Euler angle error 1\u00b0 compared with other classical methods. The total time consumption is about 100 ms, and the pose tracking frequency can reach 10 Hz. We can conclude that the proposed pose-estimation scheme can achieve the high-precision pose estimation of non-cooperative targets and meet the requirements necessary for aerospace applications.<\/jats:p>","DOI":"10.3390\/rs14236100","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T03:00:36Z","timestamp":1669950036000},"page":"6100","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Relative Pose Estimation of Non-Cooperative Space Targets Using a TOF Camera"],"prefix":"10.3390","volume":"14","author":[{"given":"Dianqi","family":"Sun","sequence":"first","affiliation":[{"name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Hu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huixian","family":"Duan","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haodong","family":"Pei","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.actaastro.2016.06.018","article-title":"RemoveDEBRIS: An in-orbit active debris removal demonstration mission","volume":"127","author":"Forshaw","year":"2016","journal-title":"Acta Astronaut."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1007\/s11431-020-1661-7","article-title":"Survey on research and development of on-orbit active debris removal methods","volume":"63","author":"Zhao","year":"2020","journal-title":"Sci. China Technol. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.paerosci.2019.01.004","article-title":"On-orbit service (OOS) of spacecraft: A review of engineering developments","volume":"108","author":"Li","year":"2019","journal-title":"Prog. Aerosp. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.paerosci.2014.03.002","article-title":"A review of space robotics technologies for on-orbit servicing","volume":"68","author":"Ma","year":"2014","journal-title":"Prog. Aerosp. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"964","DOI":"10.2514\/1.27117","article-title":"On-orbit servicing: A new value proposition for satellite design and operation","volume":"44","author":"Long","year":"2007","journal-title":"J. Spacecr. Rocket."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1163\/156855304322758006","article-title":"DLR\u2019s robotics technologies for on-orbit servicing","volume":"18","author":"Hirzinger","year":"2004","journal-title":"Adv. Robot."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.actaastro.2018.10.040","article-title":"Establishing a framework to explore the Servicer-Client relationship in On-Orbit Servicing","volume":"153","author":"Kingston","year":"2018","journal-title":"Acta Astronaut."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zou, T., Wang, L., Zhu, T., and Zhai, X. (2021, January 15\u201317). Non-cooperative Target Relative Navigation Method Based on Vortex Light, Vision and IMU Information. Proceedings of the 2021 6th International Conference on Systems, Control and Communications (ICSCC), Chongqing, China.","DOI":"10.1145\/3510362.3510371"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2047","DOI":"10.1016\/j.actaastro.2010.10.021","article-title":"Pose measurement of large non-cooperative satellite based on collaborative cameras","volume":"68","author":"Du","year":"2011","journal-title":"Acta Astronaut."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wang, B., Li, S., Mu, J., Hao, X., Zhu, W., and Hu, J. (2022). Research Advancements in Key Technologies for Space-Based Situational Awareness. Space: Sci. Technol., 2022.","DOI":"10.34133\/2022\/9802793"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Min, J., Yi, J., Ma, Y., Chen, S., Zhang, H., Wu, H., Cao, S., and Mu, J. (2020, January 27\u201329). Recognizing and Measuring Satellite based on Monocular Vision under Complex Light Environment. Proceedings of the 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), Dalian, China.","DOI":"10.1109\/ICAICA50127.2020.9181925"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1016\/j.actaastro.2018.06.061","article-title":"A passive camera-based determination of a non-cooperative and unknown satellite\u2019s pose and shape","volume":"151","author":"Volpe","year":"2018","journal-title":"Acta Astronaut."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Cassinis, L.P., Fonod, R., and Gill, E. (2019). Review of the robustness and applicability of monocular pose estimation systems for relative navigation with an uncooperative spacecraft. Prog. Aerosp. Sci., 110.","DOI":"10.1016\/j.paerosci.2019.05.008"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Perfetto, D.M., Opromolla, R., Grassi, M., and Schmitt, C. (2019, January 19\u201321). LIDAR-based model reconstruction for spacecraft pose determination. Proceedings of the 2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Turin, Italy.","DOI":"10.1109\/MetroAeroSpace.2019.8869585"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.actaastro.2022.01.028","article-title":"A hybrid relative navigation algorithm for a large\u2013scale free tumbling non\u2013cooperative target","volume":"194","author":"Zhu","year":"2022","journal-title":"Acta Astronaut."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"May, S., Droeschel, D., Holz, D., Wiesen, C., and Fuchs, S. (2008, January 22\u201326). 3D pose estimation and mapping with time-of-flight cameras. Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 3D Mapping Workshop, Nice, France.","DOI":"10.1109\/IROS.2009.5354684"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zhu, W., Mu, J., Shao, C., Hu, J., Wang, B., Wen, Z., Han, F., and Li, S. (2022). System Design for Pose Determination of Spacecraft Using Time-of-Flight Sensors. Space: Sci. Technol., 2022.","DOI":"10.34133\/2022\/9763198"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.actaastro.2014.12.010","article-title":"Relative pose estimation of satellites using PMD-\/CCD-sensor data fusion","volume":"109","author":"Tzschichholz","year":"2015","journal-title":"Acta Astronaut."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Liu, Y., Zhang, S., and Zhao, X. (2021). Relative Pose Determination of Uncooperative Spacecraft Based on Circle Feature. Sensors, 21.","DOI":"10.3390\/s21248495"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1578","DOI":"10.1109\/JSEN.2007.907561","article-title":"A CMOS time-of-flight range image sensor with gates-on-field-oxide structure","volume":"7","author":"Kawahito","year":"2007","journal-title":"IEEE Sens. J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6360","DOI":"10.3390\/s150306360","article-title":"A model-based 3D template matching technique for pose acquisition of an uncooperative space object","volume":"15","author":"Opromolla","year":"2015","journal-title":"Sensors"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1109\/TAES.2017.2650785","article-title":"Pose estimation for spacecraft relative navigation using model-based algorithms","volume":"53","author":"Opromolla","year":"2017","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.actaastro.2017.07.002","article-title":"Pose estimation and tracking of non-cooperative rocket bodies using time-of-flight cameras","volume":"139","author":"Giorgi","year":"2017","journal-title":"Acta Astronaut."},{"key":"ref_24","unstructured":"Zeng-yu, S.U., and Yue, G.A. (2017). Relative position and attitude measurement for non-cooperative spacecraft based on binocular vision. J. Astronaut. Metrol. Meas., 37."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3466","DOI":"10.1016\/j.asr.2022.08.015","article-title":"Research on docking ring pose estimation method based on point cloud grayscale image","volume":"70","author":"Zhang","year":"2022","journal-title":"Adv. Space Res."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zhao, G., Xu, S., and Bo, Y. (2018). LiDAR-based non-cooperative tumbling spacecraft pose tracking by fusing depth maps and point clouds. Sensors, 18.","DOI":"10.3390\/s18103432"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"153958","DOI":"10.1109\/ACCESS.2019.2946346","article-title":"Pose estimation of non-cooperative target coated with MLI","volume":"7","author":"Wang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.actaastro.2020.11.013","article-title":"Pose estimation of a non-cooperative spacecraft without the detection and recognition of point cloud features","volume":"179","author":"Kang","year":"2021","journal-title":"Acta Astronaut."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Liu, X., Wang, H., Chen, X., Chen, W., and Xie, Z. (2022). Position Awareness Network for Non-Cooperative Spacecraft Pose Estimation Based on Point Cloud. IEEE Trans. Aerosp. Electron. Syst., 1\u201313.","DOI":"10.1109\/TAES.2022.3182307"},{"key":"ref_30","first-page":"586","article-title":"Method for registration of 3-D shapes","volume":"Volume 1611","author":"Besl","year":"1992","journal-title":"Sensor Fusion IV: Control Paradigms and Data Structures"},{"key":"ref_31","first-page":"435","article-title":"Generalized-icp","volume":"Volume 2","author":"Segal","year":"2009","journal-title":"Robotics: Science and Systems"},{"key":"ref_32","unstructured":"Biber, P., and Stra\u00dfer, W. (2003, January 27\u201331). The normal distributions transform: A new approach to laser scan matching. Proceedings of the 2003 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas, NV, USA."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Sabov, A., and Kr\u00fcger, J. (2008, January 21\u201323). Identification and correction of flying pixels in range camera data. Proceedings of the 24th Spring Conference on Computer Graphics, Budmerice Castle, Slovakia.","DOI":"10.1145\/1921264.1921293"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1016\/j.robot.2013.07.001","article-title":"Three-dimensional point cloud plane segmentation in both structured and unstructured environments","volume":"61","author":"Xiao","year":"2013","journal-title":"Robot. Auton. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Holzer, S., Rusu, R.B., Dixon, M., Gedikli, S., and Navab, N. (2012, January 7\u201312). Adaptive neighborhood selection for real-time surface normal estimation from organized point cloud data using integral images. Proceedings of the 2012 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Vilamoura-Algarve, Portugal.","DOI":"10.1109\/IROS.2012.6385999"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/S0734-189X(86)80047-0","article-title":"Distance transformations in digital images","volume":"34","author":"Borgefors","year":"1986","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1109\/JSEN.2010.2101060","article-title":"Lock-in time-of-flight (ToF) cameras: A survey","volume":"11","author":"Foix","year":"2011","journal-title":"IEEE Sens. J."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Chen, S., Chang, C.W., and Wen, C.Y. (2020). Perception in the dark; development of a tof visual inertial odometry system. Sensors, 20.","DOI":"10.3390\/s20051263"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6100\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:32:16Z","timestamp":1760146336000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":38,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["rs14236100"],"URL":"https:\/\/doi.org\/10.3390\/rs14236100","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}