{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T06:20:27Z","timestamp":1771482027301,"version":"3.50.1"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T00:00:00Z","timestamp":1768003200000},"content-version":"vor","delay-in-days":33,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12302252"],"award-info":[{"award-number":["12302252"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12302252"],"award-info":[{"award-number":["12302252"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12302252"],"award-info":[{"award-number":["12302252"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Hunan Provincial Natural Science Foundation of China","doi-asserted-by":"crossref","award":["2025JJ60054"],"award-info":[{"award-number":["2025JJ60054"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Research Program of National University of Defense Technology","award":["ZK24-31"],"award-info":[{"award-number":["ZK24-31"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"DOI":"10.1007\/s10462-025-11461-x","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T14:34:40Z","timestamp":1765204480000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Trinocular vision with deep learning for object twist estimation: a benchmark approach and dataset"],"prefix":"10.1007","volume":"59","author":[{"given":"Jinghao","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KaiKai","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teng","family":"Teng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boming","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qifeng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,8]]},"reference":[{"key":"11461_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.103847","volume":"145","author":"M Abdelaal","year":"2021","unstructured":"Abdelaal M, Farag RM, Saad MS, Bahgat A, Emara HM, El-Dessouki A (2021) Uncalibrated stereo vision with deep learning for 6-DOF pose estimation for a robot arm system. Robot Auton Syst 145:103847","journal-title":"Robot Auton Syst"},{"issue":"1","key":"11461_CR2","doi-asserted-by":"publisher","first-page":"19","DOI":"10.3390\/a18010019","volume":"18","author":"A Aguilar-Gonz\u00e1lez","year":"2025","unstructured":"Aguilar-Gonz\u00e1lez A, Medina Santiago A (2025) Ego-motion estimation for autonomous vehicles based on genetic algorithms and CUDA parallel processing. Algorithms 18(1):19","journal-title":"Algorithms"},{"issue":"1","key":"11461_CR3","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/0734-189X(83)90097-X","volume":"22","author":"DH Ballard","year":"1983","unstructured":"Ballard DH, Kimball O (1983) Rigid body motion from depth and optical flow. Comput Vis Graph Image Process 22(1):95\u2013115","journal-title":"Comput Vis Graph Image Process"},{"key":"11461_CR4","doi-asserted-by":"crossref","unstructured":"Battistini S, Brancati R, Lui DG, Tufano F (2022) Enhancing ADS and ADAS under critical road conditions through vehicle sideslip angle estimation via unscented Kalman filter-based interacting multiple model approach. In: The International Conference of IFToMM ITALY, pp. 450\u2013460. Springer","DOI":"10.1007\/978-3-031-10776-4_52"},{"key":"11461_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2024.3433870","author":"D Bauer","year":"2024","unstructured":"Bauer D, H\u00f6nig P, Weibel J-B, Garc\u00eda-Rodr\u00edguez J, Vincze M et al (2024) Challenges for monocular 6d object pose estimation in robotics. IEEE Trans Robot. https:\/\/doi.org\/10.1109\/TRO.2024.3433870","journal-title":"IEEE Trans Robot"},{"key":"11461_CR6","doi-asserted-by":"crossref","unstructured":"Brachmann E, Krull A, Michel F, Gumhold S, Shotton J, Rother C (2014) Learning 6d object pose estimation using 3d object coordinates. In: Computer vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II 13, pp. 536\u2013551. Springer","DOI":"10.1007\/978-3-319-10605-2_35"},{"key":"11461_CR7","unstructured":"Cao P (2024) Design, deployment, navigation, and control of mobile robots for perception and sensor data collection. PhD thesis"},{"key":"11461_CR8","unstructured":"Chen H (2023) Autonomous flight in unknown and dynamic environment. PhD thesis"},{"key":"11461_CR9","doi-asserted-by":"crossref","unstructured":"Cheng Y, Johnson A, Matthies L (2005) Mer-dimes: a planetary landing application of computer vision. In: IEEE computer society conference on computer vision and pattern recognition, vol. 1, pp. 806\u2013813. IEEE","DOI":"10.1109\/CVPR.2005.222"},{"key":"11461_CR10","unstructured":"Chen J, Wang J, Wang Z, Wang Z, Guan B, Yu Q (2025) DKPMV: Dense keypoints fusion from multi-view RGB frames for 6d pose estimation of textureless objects. Preprint at arXiv:2510.10933"},{"key":"11461_CR11","doi-asserted-by":"crossref","unstructured":"Chen Y, Xu H, Zheng C, Zhuang B, Pollefeys M, Geiger A, Cham T-J, Cai J (2024) MVSPLAT: Efficient 3D Gaussian splatting from sparse multi-view images. In: European computer vision","DOI":"10.1007\/978-3-031-72664-4_21"},{"issue":"3","key":"11461_CR12","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1007\/s10462-020-09888-5","volume":"54","author":"G Du","year":"2021","unstructured":"Du G, Wang K, Lian S, Zhao K (2021) Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review. Artif Intell Rev 54(3):1677\u20131734","journal-title":"Artif Intell Rev"},{"issue":"6","key":"11461_CR13","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler MA, Bolles RC (1981) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381\u2013395","journal-title":"Commun ACM"},{"key":"11461_CR14","doi-asserted-by":"crossref","unstructured":"Forster C, Pizzoli M, Scaramuzza D (2014) SVO: fast semi-direct monocular visual odometry. In: IEEE international conference on robotics and automation, pp. 15\u201322. IEEE","DOI":"10.1109\/ICRA.2014.6906584"},{"key":"11461_CR15","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10462-012-9365-8","volume":"43","author":"J Fuentes-Pacheco","year":"2015","unstructured":"Fuentes-Pacheco J, Ruiz-Ascencio J, Rend\u00f3n-Mancha JM (2015) Visual simultaneous localization and mapping: a survey. Artif Intell Rev 43:55\u201381","journal-title":"Artif Intell Rev"},{"issue":"3","key":"11461_CR16","doi-asserted-by":"publisher","first-page":"6846","DOI":"10.1109\/LRA.2022.3178150","volume":"7","author":"M Gonzalez","year":"2022","unstructured":"Gonzalez M, Marchand E, Kacete A, Royan J (2022) TWISTSLAM: constrained slam in dynamic environment. IEEE Robot Autom Lett 7(3):6846\u20136853","journal-title":"IEEE Robot Autom Lett"},{"key":"11461_CR17","doi-asserted-by":"crossref","unstructured":"Gonzalez M, Marchand E, Kacete A, Royan J (2023) Twistslam++: Fusing multiple modalities for accurate dynamic semantic slam. In: 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9126\u20139132. IEEE","DOI":"10.1109\/IROS55552.2023.10341786"},{"key":"11461_CR18","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s11263-012-0601-0","volume":"103","author":"R Hartley","year":"2013","unstructured":"Hartley R, Trumpf J, Dai Y, Li H (2013) Rotation averaging. Int J Comput Vis 103:267\u2013305","journal-title":"Int J Comput Vis"},{"issue":"1","key":"11461_CR19","doi-asserted-by":"publisher","first-page":"228","DOI":"10.3390\/app11010228","volume":"11","author":"Z He","year":"2020","unstructured":"He Z, Feng W, Zhao X, Lv Y (2020) 6d pose estimation of objects: recent technologies and challenges. Appl Sci 11(1):228","journal-title":"Appl Sci"},{"key":"11461_CR20","doi-asserted-by":"crossref","unstructured":"Hinterstoisser S, Lepetit V, Ilic S, Holzer S, Bradski G, Konolige K, Navab N (2012) Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes. In: ACCV, pp. 548\u2013562. Springer","DOI":"10.1007\/978-3-642-37331-2_42"},{"key":"11461_CR21","doi-asserted-by":"crossref","unstructured":"Hinterstoisser S, Lepetit V, Ilic S, Holzer S, Bradski G, Konolige K, Navab N (2012) Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes. In: ACCV, pp. 548\u2013562. Springer","DOI":"10.1007\/978-3-642-37331-2_42"},{"key":"11461_CR22","doi-asserted-by":"crossref","unstructured":"Hodan T, Haluza P, Obdr\u017e\u00e1lek \u0160, Matas J, Lourakis M, Zabulis X (2017) T-less: An rgb-d dataset for 6d pose estimation of texture-less objects. In: 2017 IEEE winter conference on applications of computer vision, pp. 880\u2013888. IEEE","DOI":"10.1109\/WACV.2017.103"},{"key":"11461_CR23","doi-asserted-by":"crossref","unstructured":"Honegger D, Greisen P, Meier L, Tanskanen P, Pollefeys M (2012) Real-time velocity estimation based on optical flow and disparity matching. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 5177\u20135182. IEEE","DOI":"10.1109\/IROS.2012.6385530"},{"key":"11461_CR24","unstructured":"Huang J, Liang J, Hu J, Sundermeyer M, Yu PK, Navab N, Busam B (2025) XYZ-IBD: High-precision bin-picking dataset for object 6d pose estimation capturing real-world industrial complexity. Preprint at arXiv:2506.00599"},{"key":"11461_CR25","doi-asserted-by":"crossref","unstructured":"Johnson AE, Cheng Y, Matthies LH (2000) Machine vision for autonomous small body navigation. In: IEEE Aerospace Conference, vol. 7, pp. 661\u2013671. IEEE","DOI":"10.1109\/AERO.2000.879333"},{"key":"11461_CR26","doi-asserted-by":"publisher","first-page":"5455","DOI":"10.1007\/s10462-020-09825-6","volume":"53","author":"A Khan","year":"2020","unstructured":"Khan A, Sohail A, Zahoora U, Qureshi AS (2020) A survey of the recent architectures of deep convolutional neural networks. Artif Intell Rev 53:5455\u20135516","journal-title":"Artif Intell Rev"},{"key":"11461_CR27","doi-asserted-by":"crossref","unstructured":"Kleeberger K, Huber MF (2020) Single shot 6d object pose estimation. In: IEEE international conference on robotics and automation, pp. 6239\u20136245. IEEE","DOI":"10.1109\/ICRA40945.2020.9197207"},{"key":"11461_CR28","doi-asserted-by":"crossref","unstructured":"Labb\u00e9 Y, Carpentier J, Aubry M, Sivic J (2020) Cosypose: Consistent multi-view multi-object 6d pose estimation. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XVII 16, pp. 574\u2013591. Springer","DOI":"10.1007\/978-3-030-58520-4_34"},{"issue":"2","key":"11461_CR29","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s11263-008-0152-6","volume":"81","author":"V Lepetit","year":"2009","unstructured":"Lepetit V, Moreno-Noguer F, Fua P (2009) EPNP: an accurate O(n) solution to the PNP problem. Int J Comput Vis 81(2):155\u2013166","journal-title":"Int J Comput Vis"},{"key":"11461_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3530915","author":"Z Liu","year":"2025","unstructured":"Liu Z, Guan B, Shang Y, Bian Y, Sun P, Yu Q (2025) Stereo event-based, 6-DOF pose tracking for uncooperative spacecraft. IEEE Trans Geosci Remote Sens. https:\/\/doi.org\/10.1109\/TGRS.2025.3530915","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11461_CR31","doi-asserted-by":"crossref","unstructured":"Liu X, Iwase S, Kitani KM (2021) StereOBJ-1M: large-scale stereo image dataset for 6D object pose estimation. In: International conference on computer vision, pp. 10870\u201310879","DOI":"10.1109\/ICCV48922.2021.01069"},{"key":"11461_CR32","unstructured":"Liu J, Sun W, Yang H, Zeng Z, Liu C, Zheng J, Liu X, Rahmani H, Sebe N, Mian A (2024) Deep learning-based object pose estimation: a comprehensive survey. Preprint at arXiv:2405.07801"},{"key":"11461_CR33","doi-asserted-by":"crossref","unstructured":"Lowe DG (1999) Object recognition from local scale-invariant features. In: International conference on computer vision, vol. 2, pp. 1150\u20131157. IEEE","DOI":"10.1109\/ICCV.1999.790410"},{"key":"11461_CR34","doi-asserted-by":"crossref","unstructured":"Ma Y, Soatto S, Ko\u0161eck\u00e1 J, Sastry S (2004) An invitation to 3-D vision: from images to geometric models, vol. 26. Springer, Cham","DOI":"10.1007\/978-0-387-21779-6"},{"key":"11461_CR35","doi-asserted-by":"crossref","unstructured":"Mozerov M, Gonz\u00e0lez J, Roca X, Villanueva JJ (2009) Trinocular stereo matching with composite disparity space image. In: 2009 16th IEEE international conference on image processing (ICIP), pp. 2089\u20132092. IEEE","DOI":"10.1109\/ICIP.2009.5414393"},{"key":"11461_CR36","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1023\/A:1014525320885","volume":"47","author":"J Mulligan","year":"2002","unstructured":"Mulligan J, Isler V, Daniilidis K (2002) Trinocular stereo: a real-time algorithm and its evaluation. Int J Comput Vis 47:51\u201361","journal-title":"Int J Comput Vis"},{"issue":"5","key":"11461_CR37","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","volume":"31","author":"R Mur-Artal","year":"2015","unstructured":"Mur-Artal R, Montiel JMM, Tardos JD (2015) ORB-SLAM: a versatile and accurate monocular slam system. IEEE Trans Robot 31(5):1147\u20131163","journal-title":"IEEE Trans Robot"},{"key":"11461_CR38","unstructured":"\u00d6rnhag MV, Persson P, Wadenb\u00e4ck M, \u00c5str\u00f6m K, Heyden A (2022) Trust your IMU: consequences of ignoring the IMU drift. In: IEEE\/CVF conference on computer vision and pattern recognition workshops, pp. 4468\u20134477"},{"issue":"9","key":"11461_CR39","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.2514\/1.G007387","volume":"46","author":"TH Park","year":"2022","unstructured":"Park TH, D\u2019Amico S (2022) Adaptive neural-network-based unscented Kalman filter for robust pose tracking of noncooperative spacecraft. J Guid Control Dyn 46(9):1671\u20131688","journal-title":"J Guid Control Dyn"},{"issue":"9","key":"11461_CR40","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.2514\/1.G007387","volume":"46","author":"TH Park","year":"2023","unstructured":"Park TH, D\u2019Amico S (2023) Adaptive neural-network-based unscented Kalman filter for robust pose tracking of noncooperative spacecraft. J Guid Control Dyn 46(9):1671\u20131688. https:\/\/doi.org\/10.2514\/1.G007387","journal-title":"J Guid Control Dyn"},{"issue":"3","key":"11461_CR41","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s00419-004-0345-6","volume":"74","author":"K Parsa","year":"2004","unstructured":"Parsa K, Angeles J, Misra A (2004) Rigid-body pose and twist estimation using an accelerometer array. Arch Appl Mech 74(3):223\u2013236","journal-title":"Arch Appl Mech"},{"issue":"1","key":"11461_CR42","doi-asserted-by":"publisher","DOI":"10.1115\/1.4034419","volume":"139","author":"S Poddar","year":"2017","unstructured":"Poddar S, Kumar V, Kumar A (2017) A comprehensive overview of inertial sensor calibration techniques. J Dyn Syst Meas Contr 139(1):011006","journal-title":"J Dyn Syst Meas Contr"},{"key":"11461_CR43","doi-asserted-by":"crossref","unstructured":"P\u00f6llabauer T, Emrich J, Knauthe V, Kuijper A (2024) Extending 6d object pose estimators for stereo vision. In: International Conference on Pattern Recognition and Artificial Intelligence, pp. 106\u2013119. Springer","DOI":"10.1007\/978-981-97-8705-0_8"},{"issue":"4","key":"11461_CR44","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1109\/TRO.2018.2853729","volume":"34","author":"T Qin","year":"2018","unstructured":"Qin T, Li P, Shen S (2018) VINS-MONO: a robust and versatile monocular visual-inertial state estimator. IEEE Trans Rob 34(4):1004\u20131020","journal-title":"IEEE Trans Rob"},{"key":"11461_CR45","doi-asserted-by":"crossref","unstructured":"Rambach J, Deng C, Pagani A, Stricker D (2018) Learning 6dof object poses from synthetic single channel images. In: 2018 IEEE international symposium on mixed and augmented reality adjunct, pp. 164\u2013169. IEEE","DOI":"10.1109\/ISMAR-Adjunct.2018.00058"},{"issue":"11","key":"11461_CR46","doi-asserted-by":"publisher","first-page":"3257","DOI":"10.1109\/JSEN.2017.2674307","volume":"17","author":"J Rehder","year":"2017","unstructured":"Rehder J, Siegwart R (2017) Camera\/IMU calibration revisited. IEEE Sens J 17(11):3257\u20133268","journal-title":"IEEE Sens J"},{"key":"11461_CR47","doi-asserted-by":"crossref","unstructured":"Richter-Klu, J, Wellhausen C, Frese U (2019) ESKO6d-A binocular and RGB-D dataset of stored kitchen objects with 6d poses. In: IEEE\/RSJ international conference on intelligent robots and systems, pp. 893\u2013899","DOI":"10.1109\/IROS40897.2019.8967937"},{"issue":"3","key":"11461_CR48","volume":"2","author":"H Strasdat","year":"2010","unstructured":"Strasdat H, Montiel J, Davison AJ (2010) Scale drift-aware large scale monocular slam. Robot Sci Syst 2(3):7","journal-title":"Robot Sci Syst"},{"key":"11461_CR49","doi-asserted-by":"crossref","unstructured":"Thienel J, Van Eepoel J, Sanner R (2006) Accurate state estimation and tracking of a non-cooperative target vehicle. In: AIAA guidance, navigation, and control conference and exhibit, p. 6802","DOI":"10.2514\/6.2006-6802"},{"key":"11461_CR50","doi-asserted-by":"crossref","unstructured":"Thomas A, Mastrogiovanni F, Baglietto M (2021) Probabilistic collision constraint for motion planning in dynamic environments. In: International conference on intelligent autonomous systems, pp. 141\u2013154. Springer","DOI":"10.1007\/978-3-030-95892-3_11"},{"issue":"5","key":"11461_CR51","doi-asserted-by":"publisher","first-page":"4279","DOI":"10.1109\/TAES.2022.3161605","volume":"58","author":"Z Wang","year":"2022","unstructured":"Wang Z, Zhang Z, Sun X, Li Z, Yu Q (2022) Revisiting monocular satellite pose estimation with transformer. IEEE Trans Aerosp Electron Syst 58(5):4279\u20134294","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"11461_CR52","doi-asserted-by":"crossref","unstructured":"Wang Q, Chang Y-Y, Cai R, Li Z, Hariharan B, Holynski A, Snavely N (2023) Tracking everything everywhere all at once. In: International conference on computer vision, pp. 19738\u201319749","DOI":"10.1109\/ICCV51070.2023.01813"},{"key":"11461_CR53","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2024.3441569","author":"J Wang","year":"2024","unstructured":"Wang J, Li Y, Li Z, Wang Z, Yu Q (2024) Monocular satellite pose estimation based on uncertainty estimation and self-assessment. IEEE Trans Aerosp Electron Syst. https:\/\/doi.org\/10.1109\/TAES.2024.3441569","journal-title":"IEEE Trans Aerosp Electron Syst"},{"issue":"1","key":"11461_CR54","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1088\/1742-6596\/13\/1\/056","volume":"13","author":"T Watanabe","year":"2005","unstructured":"Watanabe T, Fujimoto H, Masuda T (2005) Self-calibratable rotary encoder. J Phys Conf Ser 13(1):240","journal-title":"J Phys Conf Ser"},{"key":"11461_CR55","doi-asserted-by":"crossref","unstructured":"Xiang Y, Schmidt T, Narayanan V, Fox D (2017) POSECNN: Convolutional neural network for 6d object pose estimation in cluttered scenes. Preprint at arXiv:1711.00199","DOI":"10.15607\/RSS.2018.XIV.019"},{"key":"11461_CR56","doi-asserted-by":"crossref","unstructured":"Yang J, Gao Y, Li D, Waslander SL (2021) Robi: A multi-view dataset for reflective objects in robotic bin-picking. In: IROS, pp. 9788\u20139795","DOI":"10.1109\/IROS51168.2021.9635871"},{"key":"11461_CR57","doi-asserted-by":"crossref","unstructured":"Yang J, Xue W, Ghavidel S, Waslander SL (2025) Active 6d pose estimation for textureless objects using multi-view RGB frames. Preprint at arXiv:2503.03726","DOI":"10.1177\/02783649251411922"},{"key":"11461_CR58","doi-asserted-by":"crossref","unstructured":"Yoshida K, Dimitrov D, Nakanishi H (2006) On the capture of tumbling satellite by a space robot. In: 2006 IEEE\/RSJ international conference on intelligent robots and systems, pp. 4127\u20134132. IEEE","DOI":"10.1109\/IROS.2006.281900"},{"issue":"11","key":"11461_CR59","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1109\/34.888718","volume":"22","author":"Z Zhang","year":"2000","unstructured":"Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Anal Mach Intell 22(11):1330\u20131334. https:\/\/doi.org\/10.1109\/34.888718","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"11461_CR60","doi-asserted-by":"crossref","unstructured":"Zhao Y, Lv W, Xu S, Wei J, Wang G, Dang Q, Liu Y, Chen J. (2024) Detrs beat yolos on real-time object detection. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 16965\u201316974","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"11461_CR61","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2025.103458","volume":"38","author":"W Zi","year":"2025","unstructured":"Zi W, Jinghao W, Jiyang Y, Zhang L, Qifeng Y (2025) High-accuracy real-time satellite pose estimation for in-orbit applications. Chin J Aeronaut 38:103458","journal-title":"Chin J Aeronaut"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-025-11461-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-025-11461-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-025-11461-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T05:46:33Z","timestamp":1771479993000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-025-11461-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":61,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["11461"],"URL":"https:\/\/doi.org\/10.1007\/s10462-025-11461-x","relation":{},"ISSN":["1573-7462"],"issn-type":[{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,8]]},"assertion":[{"value":"6 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"51"}}