Littérature scientifique sur le sujet « System calibration and tracking »
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Articles de revues sur le sujet "System calibration and tracking"
Xu, Xiaofei, Hongjun Hu, Shuhong Fu et Yalong Yan. « Research on Beam Waveguide Focus Phase Calibration Method of Deep-space TT&C System ». Journal of Physics : Conference Series 2410, no 1 (1 décembre 2022) : 012010. http://dx.doi.org/10.1088/1742-6596/2410/1/012010.
Texte intégralJayaram, Uma, et Roglenda Repp. « Integrated Real-Time Calibration of Electromagnetic Tracking of User Motions for Engineering Applications in Virtual Environments ». Journal of Mechanical Design 124, no 4 (26 novembre 2002) : 623–32. http://dx.doi.org/10.1115/1.1517562.
Texte intégralLiu, Yang Chuan, Xin Gao, Wei Wei Fu, Chuan Xu et Yun Teng. « A Twice Calibrating Method for Binocular Stereovision System ». Applied Mechanics and Materials 333-335 (juillet 2013) : 161–66. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.161.
Texte intégralKitbutrawat, Nathavuth, Hirozumi Yamaguchi et 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.
Texte intégralKo, Eun-Ji, et Myoung-Jun Kim. « User-Calibration Free Gaze Tracking System Model ». Journal of the Korea Institute of Information and Communication Engineering 18, no 5 (31 mai 2014) : 1096–102. http://dx.doi.org/10.6109/jkiice.2014.18.5.1096.
Texte intégralRatnayake, R. M. T. S., S. J. Sooriyaarachchi et C. D. Gamage. « Head Movement Invariant Eye Tracking System ». Engineer : Journal of the Institution of Engineers, Sri Lanka 57, no 1 (26 février 2024) : 45–55. http://dx.doi.org/10.4038/engineer.v57i1.7587.
Texte intégralGieseler, Oliver, Hubert Roth et Jürgen Wahrburg. « A novel 4 camera multi-stereo tracking system for application in surgical navigation systems ». tm - Technisches Messen 87, no 7-8 (26 juillet 2020) : 451–58. http://dx.doi.org/10.1515/teme-2019-0144.
Texte intégralWhite, K. P., T. E. Hutchinson et J. M. Carley. « Spatially dynamic calibration of an eye-tracking system ». IEEE Transactions on Systems, Man, and Cybernetics 23, no 4 (1993) : 1162–68. http://dx.doi.org/10.1109/21.247897.
Texte intégralKaltiokallio, Ossi, Roland Hostettler, Hüseyin Yiğitler et Mikko Valkama. « Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm ». Sensors 21, no 16 (18 août 2021) : 5549. http://dx.doi.org/10.3390/s21165549.
Texte intégralCapparini, Chiara, Michelle P. S. To, Clément Dardenne et Vincent M. Reid. « Offline Calibration for Infant Gaze and Head Tracking across a Wide Horizontal Visual Field ». Sensors 23, no 2 (14 janvier 2023) : 972. http://dx.doi.org/10.3390/s23020972.
Texte intégralThèses sur le sujet "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.
Texte intégralQC 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.
Texte intégralIn 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.
Texte intégralIde, Ichiro, Kenji Yamashiro, Daisuke Deguchi, Tomokazu Takahashi, Hiroshi Murase, Kazunori Higuchi et 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.
Texte intégralElliott, 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.
Texte intégralBachelors
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.
Texte intégralstate&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.
Texte intégralManat, 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.
Texte intégralNarasimhan, 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.
Texte intégralDogan, 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.
Texte intégral.
Livres sur le sujet "System calibration and tracking"
Harb, S. M. Robot calibration using a three dimensional laser interferometer tracking system. Manchester : UMIST, 1989.
Trouver le texte intégralMark, Parker, et National Institute of Standards and Technology (U.S.), dir. NIST multifunction calibration system. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Trouver le texte intégralMark, Parker, et National Institute of Standards and Technology (U.S.), dir. NIST multifunction calibration system. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Trouver le texte intégralMark, Parker, et National Institute of Standards and Technology (U.S.), dir. NIST multifunction calibration system. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.
Trouver le texte intégralGaver, Donald Paul. An operational analysis of system calibration. Monterey, Calif : Naval Postgraduate School, 1988.
Trouver le texte intégralNational Institute of Standards and Technology (U.S.), dir. An information system to support calibration. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Trouver le texte intégralHuman, Rights Commission of San Francisco (San Francisco Calif ). Citywide diversity tracking system. [San Francisco, Calif.] : Human Rights Commission, 1999.
Trouver le texte intégralU.S. National Central Bureau., dir. Interpol Case Tracking System. Washington, D.C : U.S. National Central Bureau, U.S. Dept. of Justice, 1987.
Trouver le texte intégralMoore, B. Calibration of the marine spectrometer system : MARAS. Dublin : UniversityCollege Dublin, 1996.
Trouver le texte intégralUnited States. National Environmental Satellite, Data, and Information Service, dir. 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.
Trouver le texte intégralChapitres de livres sur le sujet "System calibration and tracking"
Duchowski, Andrew T. « System Calibration ». Dans Eye Tracking Methodology : Theory and Practice, 97–109. London : Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3750-4_8.
Texte intégralDuchowski, Andrew T. « Table-Mounted System Calibration ». Dans Eye Tracking Methodology, 121–30. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_11.
Texte intégralDuchowski, Andrew T. « Head-Mounted System Calibration ». Dans Eye Tracking Methodology, 85–96. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_8.
Texte intégralFrühwirth, Rudolf, et Are Strandlie. « Tracking Detectors ». Dans 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.
Texte intégralPlopski, Alexander, Naoto Ienaga et Maki Sugimoto. « Tracking Systems : Calibration, Hardware, and Peripherals ». Dans Springer Handbooks, 211–38. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67822-7_9.
Texte intégralPyciński, Bartłomiej. « Estimation of Pointer Calibration Error in Optical Tracking System ». Dans Innovations in Biomedical Engineering, 228–39. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47154-9_27.
Texte intégralZhang, Feng. « Coaxial Tracking Method of Infrared Search and Tracking System Based on Photoelectric Calibration ». Dans Lecture Notes in Electrical Engineering, 3786–95. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_368.
Texte intégralCamardella, Cristian, Massimiliano Gabardi, Antonio Frisoli et Daniele Leonardis. « Wearable Haptics in a Modern VR Rehabilitation System : Design Comparison for Usability and Engagement ». Dans Haptics : Science, Technology, Applications, 274–82. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06249-0_31.
Texte intégralUkleja, Artur. « The Tracking System at LHCb in Run 2 : Hardware Alignment Systems, Online Calibration, Radiation Tolerance and 4D Tracking with Timing ». Dans Springer Proceedings in Physics, 137–41. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1313-4_28.
Texte intégralHasani, Zirije, Samedin Krrabaj, Nedim Faiku, Shaban Zejneli et Valon Ibraimi. « Calibration Techniques and Analyzing the Website Design with Eye Tracking Glasses ». Dans Information Systems and Technologies, 275–84. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45645-9_26.
Texte intégralActes de conférences sur le sujet "System calibration and tracking"
Villanueva, Arantxa, Rafael Cabeza et Sonia Porta. « Eye tracking system model with easy calibration ». Dans the Eye tracking research & applications symposium. New York, New York, USA : ACM Press, 2004. http://dx.doi.org/10.1145/968363.968372.
Texte intégralJayaram, Sankar, Uma Jayaram et Craig Palmer. « Design of an Automated Calibration System for Electromagnetic Tracking Systems ». Dans ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50136.
Texte intégralKatrychuk, Dmytro, Henry Griffith et Oleg Komogortsev. « A Calibration Framework for Photosensor-based Eye-Tracking System ». Dans ETRA '20 : 2020 Symposium on Eye Tracking Research and Applications. New York, NY, USA : ACM, 2020. http://dx.doi.org/10.1145/3379156.3391370.
Texte intégralRomero, Miguel, Rafael Lemuz, Irene O. Ayaquica-Martinez et Griselda Saldana-Gonz´lez. « A Calibration Algorithm for Solar Tracking System ». Dans 2011 10th Mexican International Conference on Artificial Intelligence (MICAI). IEEE, 2011. http://dx.doi.org/10.1109/micai.2011.22.
Texte intégralZhang, Qiong, Zhiliang Wang, Jiannan Chi, Pengyi Zhang et Yi Yang. « Design and calibration for gaze tracking system ». Dans 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477463.
Texte intégralOhno, Takehiko, et Naoki Mukawa. « A free-head, simple calibration, gaze tracking system that enables gaze-based interaction ». Dans the Eye tracking research & applications symposium. New York, New York, USA : ACM Press, 2004. http://dx.doi.org/10.1145/968363.968387.
Texte intégralLu, Yan, et Shahram Payandeh. « Dumbbell Calibration for a Multi-Camera Tracking System ». Dans 2007 Canadian Conference on Electrical and Computer Engineering. IEEE, 2007. http://dx.doi.org/10.1109/ccece.2007.396.
Texte intégralTriolo, Andrea Sofia. « Calibration of the Upgraded ALICE Inner Tracking System ». Dans 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.
Texte intégralBien, T., et G. Rose. « Algorithm for calibration of the electromagnetic tracking system ». Dans 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2012. http://dx.doi.org/10.1109/bhi.2012.6211512.
Texte intégralVolkova, Anastasiia, et Peter W. Gibbens. « Automated WAMI system calibration procedure based on multi-scale fusion and adaptive data association for geo-coding error correction ». Dans Pattern Recognition and Tracking XXIX, sous la direction de Mohammad S. Alam. SPIE, 2018. http://dx.doi.org/10.1117/12.2304680.
Texte intégralRapports d'organisations sur le sujet "System calibration and tracking"
Osborne, P. D., et C. C. Geurin. Advanced Unmanned Search System (AUSS) Surface Navigation, Underwater Tracking, and Transponder Network Calibration. Fort Belvoir, VA : Defense Technical Information Center, septembre 1992. http://dx.doi.org/10.21236/ada263141.
Texte intégralWetzel, Pual A., et 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, novembre 1998. http://dx.doi.org/10.21236/ada368304.
Texte intégralJohn Schabron, Eric Kalberer, Joseph Rovani, Mark Sanderson, Ryan Boysen et William Schuster. Mercury Calibration System. Office of Scientific and Technical Information (OSTI), mars 2009. http://dx.doi.org/10.2172/993816.
Texte intégralJohn Schabron, Eric Kalberer, Joseph Rovani, Mark Sanderson, Ryan Boysen et William Schuster. Mercury Calibration System. Office of Scientific and Technical Information (OSTI), mars 2009. http://dx.doi.org/10.2172/993821.
Texte intégralParisi, Vincent M. Image Based Tracking System. Fort Belvoir, VA : Defense Technical Information Center, janvier 2006. http://dx.doi.org/10.21236/ada444165.
Texte intégralINSIGHT INDUSTRIES INC PLATTEVILLE WI. Hazardous Materials Tracking System. Fort Belvoir, VA : Defense Technical Information Center, janvier 1992. http://dx.doi.org/10.21236/ada451637.
Texte intégralFriedman, N. Cable tracking system proposal. Office of Scientific and Technical Information (OSTI), juin 1993. http://dx.doi.org/10.2172/102270.
Texte intégralMcIver, Carter, Trevor Gahl, Garret Hilton, Stephen Hamby, Casey Coffman et David Schwehr. Ground Station Tracking System. Ames (Iowa) : Iowa State University. Library. Digital Press, janvier 2017. http://dx.doi.org/10.31274/ahac.9762.
Texte intégralSchaffner, S. F. An BaBar Tracking System. Office of Scientific and Technical Information (OSTI), mai 2003. http://dx.doi.org/10.2172/813336.
Texte intégralOldham, Nile, et 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.
Texte intégral