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Artykuły w czasopismach na temat "System calibration and tracking"
Xu, Xiaofei, Hongjun Hu, Shuhong Fu i Yalong Yan. "Research on Beam Waveguide Focus Phase Calibration Method of Deep-space TT&C System". Journal of Physics: Conference Series 2410, nr 1 (1.12.2022): 012010. http://dx.doi.org/10.1088/1742-6596/2410/1/012010.
Pełny tekst źródłaJayaram, Uma, i Roglenda Repp. "Integrated Real-Time Calibration of Electromagnetic Tracking of User Motions for Engineering Applications in Virtual Environments". Journal of Mechanical Design 124, nr 4 (26.11.2002): 623–32. http://dx.doi.org/10.1115/1.1517562.
Pełny tekst źródłaLiu, Yang Chuan, Xin Gao, Wei Wei Fu, Chuan Xu i Yun Teng. "A Twice Calibrating Method for Binocular Stereovision System". Applied Mechanics and Materials 333-335 (lipiec 2013): 161–66. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.161.
Pełny tekst źródłaKitbutrawat, Nathavuth, Hirozumi Yamaguchi i Teruo Higashino. "EasyTrack: Zero-Calibration Smart-Home Tracking System". Journal of Information Processing 27 (2019): 445–55. http://dx.doi.org/10.2197/ipsjjip.27.445.
Pełny tekst źródłaKo, Eun-Ji, i Myoung-Jun Kim. "User-Calibration Free Gaze Tracking System Model". Journal of the Korea Institute of Information and Communication Engineering 18, nr 5 (31.05.2014): 1096–102. http://dx.doi.org/10.6109/jkiice.2014.18.5.1096.
Pełny tekst źródłaRatnayake, R. M. T. S., S. J. Sooriyaarachchi i C. D. Gamage. "Head Movement Invariant Eye Tracking System". Engineer: Journal of the Institution of Engineers, Sri Lanka 57, nr 1 (26.02.2024): 45–55. http://dx.doi.org/10.4038/engineer.v57i1.7587.
Pełny tekst źródłaGieseler, Oliver, Hubert Roth i Jürgen Wahrburg. "A novel 4 camera multi-stereo tracking system for application in surgical navigation systems". tm - Technisches Messen 87, nr 7-8 (26.07.2020): 451–58. http://dx.doi.org/10.1515/teme-2019-0144.
Pełny tekst źródłaWhite, K. P., T. E. Hutchinson i J. M. Carley. "Spatially dynamic calibration of an eye-tracking system". IEEE Transactions on Systems, Man, and Cybernetics 23, nr 4 (1993): 1162–68. http://dx.doi.org/10.1109/21.247897.
Pełny tekst źródłaKaltiokallio, Ossi, Roland Hostettler, Hüseyin Yiğitler i Mikko Valkama. "Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm". Sensors 21, nr 16 (18.08.2021): 5549. http://dx.doi.org/10.3390/s21165549.
Pełny tekst źródłaCapparini, Chiara, Michelle P. S. To, Clément Dardenne i Vincent M. Reid. "Offline Calibration for Infant Gaze and Head Tracking across a Wide Horizontal Visual Field". Sensors 23, nr 2 (14.01.2023): 972. http://dx.doi.org/10.3390/s23020972.
Pełny tekst źródłaRozprawy doktorskie na temat "System calibration and tracking"
Lindén, Erik. "Calibration in deep-learning eye tracking". Licentiate thesis, KTH, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295566.
Pełny tekst źródłaQC 20210528
Horii, M. Michael. "A Predictive Model for Multi-Band Optical Tracking System (MBOTS) Performance". International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579658.
Pełny tekst źródłaIn the wake of sequestration, Test and Evaluation (T&E) groups across the U.S. are quickly learning to make do with less. For Department of Defense ranges and test facility bases in particular, the timing of sequestration could not be worse. Aging optical tracking systems are in dire need of replacement. What's more, the increasingly challenging missions of today require advanced technology, flexibility, and agility to support an ever-widening spectrum of scenarios, including short-range (0 − 5 km) imaging of launch events, long-range (50 km+) imaging of debris fields, directed energy testing, high-speed tracking, and look-down coverage of ground test scenarios, to name just a few. There is a pressing need for optical tracking systems that can be operated on a limited budget with minimal resources, staff, and maintenance, while simultaneously increasing throughput and data quality. Here we present a mathematical error model to predict system performance. We compare model predictions to site-acceptance test results collected from a pair of multi-band optical tracking systems (MBOTS) fielded at White Sands Missile Range. A radar serves as a point of reference to gauge system results. The calibration data and the triangulation solutions obtained during testing provide a characterization of system performance. The results suggest that the optical tracking system error model adequately predicts system performance, thereby supporting pre-mission analysis and conserving scarce resources for innovation and development of robust solutions. Along the way, we illustrate some methods of time-space-position information (TSPI) data analysis, define metrics for assessing system accuracy, and enumerate error sources impacting measurements. We conclude by describing technical challenges ahead and identifying a path forward.
Cole, Gareth Douglas. "Design of an automated calibration device for electromagnetic tracking systems". Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/g_cole_050107.pdf.
Pełny tekst źródłaIde, Ichiro, Kenji Yamashiro, Daisuke Deguchi, Tomokazu Takahashi, Hiroshi Murase, Kazunori Higuchi i Takashi Naito. "Automatic calibration of an in-vehicle gaze tracking system using driver's typical gaze behavior". IEEE, 2009. http://hdl.handle.net/2237/13967.
Pełny tekst źródłaElliott, Richard A. "A user interactive calibration program for an object tracking system using a triaxial accelerometer". Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1799.
Pełny tekst źródłaBachelors
Engineering and Computer Science
Computer Engineering
Aykin, Murat Deniz. "Efficient Calibration Of A Multi-camera Measurement System Using A Target With Known Dynamics". Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609798/index.pdf.
Pełny tekst źródłastate&rdquo
of one or more real world objects. Camera calibration is the process of pre-determining all the remaining optical and geometric parameters of the measurement system which are either static or slowly varying. For a single camera, this consist of the internal parameters of the camera device optics and construction while for a multiple camera system, it also includes the geometric positioning of the individual cameras, namely &ldquo
external&rdquo
parameters. The calibration is a necessary step before any actual state measurements can be made from the system. In this thesis, such a multi-camera state measurement system and in particular the problem of procedurally effective and high performance calibration of such a system is considered. This thesis presents a novel calibration algorithm which uses the known dynamics of a ballistically thrown target object and employs the Extended Kalman Filter (EKF) to calibrate the multi-camera system. The state-space representation of the target state is augmented with the unknown calibration parameters which are assumed to be static or slowly varying with respect to the state. This results in a &ldquo
super-state&rdquo
vector. The EKF algorithm is used to recursively estimate this super-state hence resulting in the estimates of the static camera parameters. It is demonstrated by both simulation studies as well as actual experiments that when the ballistic path of the target is processed by the improved versions of the EKF algorithm, the camera calibration parameter estimates asymptotically converge to their actual values. Since the image frames of the target trajectory can be acquired first and then processed off-line, subsequent improvements of the EKF algorithm include repeated and bidirectional versions where the same calibration images are repeatedly used. Repeated EKF (R-EKF) provides convergence with a limited number of image frames when the initial target state is accurately provided while its bidirectional version (RB-EKF) improves calibration accuracy by also estimating the initial target state. The primary contribution of the approach is that it provides a fast calibration procedure where there is no need for any standard or custom made calibration target plates covering the majority of camera field-of-view. Also, human assistance is minimized since all frame data is processed automatically and assistance is limited to making the target throws. The speed of convergence and accuracy of the results promise a field-applicable calibration procedure.
Alqahtani, Faleh Mohammed A. "Three-dimensional facial tracker using a stereo vision system". Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/131825/1/Faleh%20Mohammed%20A_Alqahtani_Thesis.pdf.
Pełny tekst źródłaManat, Namith N. "System for Tracking of Surgical Tools and Assessment of Surgical Skills Using Continuously Adaptive Mean Shift Methodology". VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd_retro/56.
Pełny tekst źródłaNarasimhan, Ramakrishnan Akshra. "Design and Evaluation of Perception System Algorithms for Semi-Autonomous Vehicles". The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595256912692618.
Pełny tekst źródłaDogan, Gozde. "Development Of A 3-camera Vision System And The Saddle Motion Analysis Of Horses Via This System". Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12610877/index.pdf.
Pełny tekst źródła.
Książki na temat "System calibration and tracking"
Harb, S. M. Robot calibration using a three dimensional laser interferometer tracking system. Manchester: UMIST, 1989.
Znajdź pełny tekst źródłaMark, Parker, i National Institute of Standards and Technology (U.S.), red. NIST multifunction calibration system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Znajdź pełny tekst źródłaMark, Parker, i National Institute of Standards and Technology (U.S.), red. NIST multifunction calibration system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Znajdź pełny tekst źródłaMark, Parker, i National Institute of Standards and Technology (U.S.), red. NIST multifunction calibration system. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Znajdź pełny tekst źródłaGaver, Donald Paul. An operational analysis of system calibration. Monterey, Calif: Naval Postgraduate School, 1988.
Znajdź pełny tekst źródłaNational Institute of Standards and Technology (U.S.), red. An information system to support calibration. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Znajdź pełny tekst źródłaHuman, Rights Commission of San Francisco (San Francisco Calif ). Citywide diversity tracking system. [San Francisco, Calif.]: Human Rights Commission, 1999.
Znajdź pełny tekst źródłaU.S. National Central Bureau., red. Interpol Case Tracking System. Washington, D.C: U.S. National Central Bureau, U.S. Dept. of Justice, 1987.
Znajdź pełny tekst źródłaMoore, B. Calibration of the marine spectrometer system: MARAS. Dublin: UniversityCollege Dublin, 1996.
Znajdź pełny tekst źródłaUnited States. National Environmental Satellite, Data, and Information Service, red. NOAA polar satellite calibration: A system description. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1994.
Znajdź pełny tekst źródłaCzęści książek na temat "System calibration and tracking"
Duchowski, Andrew T. "System Calibration". W Eye Tracking Methodology: Theory and Practice, 97–109. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3750-4_8.
Pełny tekst źródłaDuchowski, Andrew T. "Table-Mounted System Calibration". W Eye Tracking Methodology, 121–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_11.
Pełny tekst źródłaDuchowski, Andrew T. "Head-Mounted System Calibration". W Eye Tracking Methodology, 85–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_8.
Pełny tekst źródłaFrühwirth, Rudolf, i Are Strandlie. "Tracking Detectors". W Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors, 3–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_1.
Pełny tekst źródłaPlopski, Alexander, Naoto Ienaga i Maki Sugimoto. "Tracking Systems: Calibration, Hardware, and Peripherals". W Springer Handbooks, 211–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67822-7_9.
Pełny tekst źródłaPyciński, Bartłomiej. "Estimation of Pointer Calibration Error in Optical Tracking System". W Innovations in Biomedical Engineering, 228–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47154-9_27.
Pełny tekst źródłaZhang, Feng. "Coaxial Tracking Method of Infrared Search and Tracking System Based on Photoelectric Calibration". W Lecture Notes in Electrical Engineering, 3786–95. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_368.
Pełny tekst źródłaCamardella, Cristian, Massimiliano Gabardi, Antonio Frisoli i Daniele Leonardis. "Wearable Haptics in a Modern VR Rehabilitation System: Design Comparison for Usability and Engagement". W Haptics: Science, Technology, Applications, 274–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06249-0_31.
Pełny tekst źródłaUkleja, Artur. "The Tracking System at LHCb in Run 2: Hardware Alignment Systems, Online Calibration, Radiation Tolerance and 4D Tracking with Timing". W Springer Proceedings in Physics, 137–41. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1313-4_28.
Pełny tekst źródłaHasani, Zirije, Samedin Krrabaj, Nedim Faiku, Shaban Zejneli i Valon Ibraimi. "Calibration Techniques and Analyzing the Website Design with Eye Tracking Glasses". W Information Systems and Technologies, 275–84. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45645-9_26.
Pełny tekst źródłaStreszczenia konferencji na temat "System calibration and tracking"
Villanueva, Arantxa, Rafael Cabeza i Sonia Porta. "Eye tracking system model with easy calibration". W the Eye tracking research & applications symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/968363.968372.
Pełny tekst źródłaJayaram, Sankar, Uma Jayaram i Craig Palmer. "Design of an Automated Calibration System for Electromagnetic Tracking Systems". W ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50136.
Pełny tekst źródłaKatrychuk, Dmytro, Henry Griffith i Oleg Komogortsev. "A Calibration Framework for Photosensor-based Eye-Tracking System". W ETRA '20: 2020 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3379156.3391370.
Pełny tekst źródłaRomero, Miguel, Rafael Lemuz, Irene O. Ayaquica-Martinez i Griselda Saldana-Gonz´lez. "A Calibration Algorithm for Solar Tracking System". W 2011 10th Mexican International Conference on Artificial Intelligence (MICAI). IEEE, 2011. http://dx.doi.org/10.1109/micai.2011.22.
Pełny tekst źródłaZhang, Qiong, Zhiliang Wang, Jiannan Chi, Pengyi Zhang i Yi Yang. "Design and calibration for gaze tracking system". W 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477463.
Pełny tekst źródłaOhno, Takehiko, i Naoki Mukawa. "A free-head, simple calibration, gaze tracking system that enables gaze-based interaction". W the Eye tracking research & applications symposium. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/968363.968387.
Pełny tekst źródłaLu, Yan, i Shahram Payandeh. "Dumbbell Calibration for a Multi-Camera Tracking System". W 2007 Canadian Conference on Electrical and Computer Engineering. IEEE, 2007. http://dx.doi.org/10.1109/ccece.2007.396.
Pełny tekst źródłaTriolo, Andrea Sofia. "Calibration of the Upgraded ALICE Inner Tracking System". W 10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging. Trieste, Italy: Sissa Medialab, 2023. http://dx.doi.org/10.22323/1.420.0078.
Pełny tekst źródłaBien, T., i G. Rose. "Algorithm for calibration of the electromagnetic tracking system". W 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2012. http://dx.doi.org/10.1109/bhi.2012.6211512.
Pełny tekst źródłaVolkova, Anastasiia, i Peter W. Gibbens. "Automated WAMI system calibration procedure based on multi-scale fusion and adaptive data association for geo-coding error correction". W Pattern Recognition and Tracking XXIX, redaktor Mohammad S. Alam. SPIE, 2018. http://dx.doi.org/10.1117/12.2304680.
Pełny tekst źródłaRaporty organizacyjne na temat "System calibration and tracking"
Osborne, P. D., i C. C. Geurin. Advanced Unmanned Search System (AUSS) Surface Navigation, Underwater Tracking, and Transponder Network Calibration. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1992. http://dx.doi.org/10.21236/ada263141.
Pełny tekst źródłaWetzel, Pual A., i Gretchen Anderson. Portable Eye-Tracking System Used During F-16 Simulator Training Missions at Luke AFB: Adjustment and Calibration Procedures. Fort Belvoir, VA: Defense Technical Information Center, listopad 1998. http://dx.doi.org/10.21236/ada368304.
Pełny tekst źródłaJohn Schabron, Eric Kalberer, Joseph Rovani, Mark Sanderson, Ryan Boysen i William Schuster. Mercury Calibration System. Office of Scientific and Technical Information (OSTI), marzec 2009. http://dx.doi.org/10.2172/993816.
Pełny tekst źródłaJohn Schabron, Eric Kalberer, Joseph Rovani, Mark Sanderson, Ryan Boysen i William Schuster. Mercury Calibration System. Office of Scientific and Technical Information (OSTI), marzec 2009. http://dx.doi.org/10.2172/993821.
Pełny tekst źródłaParisi, Vincent M. Image Based Tracking System. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada444165.
Pełny tekst źródłaINSIGHT INDUSTRIES INC PLATTEVILLE WI. Hazardous Materials Tracking System. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1992. http://dx.doi.org/10.21236/ada451637.
Pełny tekst źródłaFriedman, N. Cable tracking system proposal. Office of Scientific and Technical Information (OSTI), czerwiec 1993. http://dx.doi.org/10.2172/102270.
Pełny tekst źródłaMcIver, Carter, Trevor Gahl, Garret Hilton, Stephen Hamby, Casey Coffman i David Schwehr. Ground Station Tracking System. Ames (Iowa): Iowa State University. Library. Digital Press, styczeń 2017. http://dx.doi.org/10.31274/ahac.9762.
Pełny tekst źródłaSchaffner, S. F. An BaBar Tracking System. Office of Scientific and Technical Information (OSTI), maj 2003. http://dx.doi.org/10.2172/813336.
Pełny tekst źródłaOldham, Nile, i Mark Parker. NIST Multifunction calibration system. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.sp.250-46.
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