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Relevant bibliographies by topics / Motion data / Dissertations / Theses

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Dissertations / Theses on the topic 'Motion data'

Author: Grafiati

Published: 23 June 2021

Last updated: 29 July 2025

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1

Kröger, Viktor. "Classification in Functional Data Analysis : Applications on Motion Data." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184963.

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Anterior cruciate knee ligament injuries are common and well known, especially amongst athletes.These injuries often require surgeries and long rehabilitation programs, and can lead to functionloss and re-injuries (Marshall et al., 1977). This work aims to explore the possibility of applyingsupervised classification on knee functionality, using different types of models, and testing differentdivisions of classes. The data used is gathered through a performance test, where individualsperform one-leg hops with motion sensors attached to their bodies. The obtained data representsthe position over

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2

Miller, Iain. "Finding associations in motion capture data." Thesis, University of the West of Scotland, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729427.

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Tanco, L. Molina. "Human motion synthesis from captured data." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/844411/.

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Animation of human motion is one of the most challenging topics in computer graphics. This is due to the large number of degrees of freedom of the body and to our ability to detect unnatural motion. Keyframing and interpolation remains the form of animation that is preferred by most animators because of the control and flexibility it provides. However this is a labour intensive process that requires skills that take years to acquire. Human motion capture techniques provide accurate measurement of the motion of a performer that can be mapped onto an animated character to provide strikingly natu

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4

Gonzalez, Rojas Paloma (Paloma Francisca). "Space and motion : data based rules of public space pedestrian motion." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99288.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2015.<br>Title as it appears in MIT Commencement Exercises program, June 5, 2015: Space and motion : the case of pedestrian in public spaces. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 106-107).<br>The understanding of space relies on motion, as we experience space by crossing it. While in motion we sense the environment in time, interacting with space. The vision of this thesis is to incorporate people's motion into architecture design process, enabled by technology. Simul

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Larsson, Albin. "MC.d.o.t : Motion capture data och dess tillgänglighet." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9622.

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Hårdvara kan bli gammal, program kan sluta utvecklas, filer som skapats från sådan hårdvara respektive mjukvara kan bli oanvändbara med tiden. Samt att hålla ordning på många individuella filer kan i längden bli jobbigt för användare. Med en databasorienterad lagrinsgslösning kan olika API:er användas för att göra data kompatibel med flera olika verktyg och program, samt att det kan användas för att skapa en centraliserad lösning för att enkelt hålla ordning på information. Bland databaser finns det två primära grupperingar: SQL och NoSQL. Detta arbete ämnar undersöka vilken typ som passar för

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Williams, Ben H. "Extracting motion primitives from natural handwriting data." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3221.

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Humans and animals can plan and execute movements much more adaptably and reliably than current computers can calculate robotic limb trajectories. Over recent decades, it has been suggested that our brains use motor primitives as blocks to build up movements. In broad terms a primitive is a segment of pre-optimised movement allowing a simplified movement planning solution. This thesis explores a generative model of handwriting based upon the concept of motor primitives. Unlike most primitive extraction studies, the primitives here are time extended blocks that are superimposed with character s

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Rogers, Bennett Lee. "Query-by-example for motion capture data." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42255.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (p. 57-58).<br>Motion capture datasets are employed widely in animation research and industry, however there currently exists no efficient way to index and search this data for diversified use. Motion clips are generally searched by filename or keywords, neither of which incorporates knowledge of actions in the clip aside from those listed in the descriptions. We present a method for indexing and searching a large database of motion capture cl

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8

Wang, Zhao. "Motion capture data processing, retrieval and recognition." Thesis, Bournemouth University, 2018. http://eprints.bournemouth.ac.uk/31038/.

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Character animation plays an essential role in the area of featured film and computer games. Manually creating character animation by animators is both tedious and inefficient, where motion capture techniques (MoCap) have been developed and become the most popular method for creating realistic character animation products. Commercial MoCap systems are expensive and the capturing process itself usually requires an indoor studio environment. Procedural animation creation is often lacking extensive user control during the generation progress. Therefore, efficiently and effectively reusing MoCap d

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Svensson, Niclas. "Structure from Motion with Unstructured RGBD Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302553.

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This thesis covers the topic of depth- assisted Structure from Motion (SfM). When performing classic SfM, the goal is to reconstruct a 3D scene using only a set of unstructured RGB images. What is attempted to be achieved in this thesis is adding the depth dimension to the problem formulation, and consequently create a system that can receive a set of RGBD images. The problem has been addressed by modifying an already existing SfM pipeline and in particular, its Bundle Adjustment (BA) process. Comparisons between the modified framework and the baseline framework resulted in conclusions regardi

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10

Hosseini, Babak [Verfasser]. "Interpretable analysis of motion data / Babak Hosseini." Bielefeld : Universitätsbibliothek Bielefeld, 2021. http://d-nb.info/1237815509/34.

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11

Segelstad, Johan. "Layering animation principles on motion capture data : Surpass the limitations of motion capture." Thesis, Luleå tekniska universitet, Institutionen för konst, kommunikation och lärande, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74636.

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This thesis deals with the use of Disney's twelve animation principles in relation to Motion Capture. The purpose of the work was to investigate whether animation principles can be applied to finished motion capture animations to surpass the limitations of motion capture by using animation layers, where each added layer is a new principle. To investigate this, motion capture data was retrieved with various movements from Mixamo, which was then imported into Maya where various animation principles were applied with the help of Maya animation layers. The result of this research will answer the

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Röder, Tido. "Similarity, retrieval, and classification of motion capture data." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=983632332.

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13

Müglich, Marcel. "Motion Feature Extraction of Video and Movie Data." Thesis, KTH, Numerisk analys, NA, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214030.

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Since the Video on Demand market grows at a fast rate in terms of available content and user numbers, the task arises to match personal relevant content to each individual user. This problem is tackled by implementing a recommondation system which finds relevant content by automatically detecting patterns in the individual user’s behaviour. To find such patterns, either collaborative filtering, which evaluates patterns of user groups to draw conclusions about a single user’s preferences, or content based strategies can be applied. Those content strategies analyze the watched movies of the indi

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Brunner, Seth A. "Improved Computer-Generated Simulation Using Motion Capture Data." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4182.

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Ever since the first use of crowds in films and videogames there has been an interest in larger, more efficient and more realistic simulations of crowds. Most crowd simulation algorithms are able to satisfy the viewer from a distance but when inspected from close up the flaws in the individual agent's movements become noticeable. One of the bigger challenges faced in crowd simulation is finding a solution that models the actual movement of an individual in a crowd. This paper simulates a more realistic crowd by using individual motion capture data as well as traditional crowd control technique

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Dai, Chengxin. "Exploring Data Quality of Weigh-In-Motion Systems." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1018.

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This research focuses on the data quality control methods for evaluating the performance of Weigh-In-Motion (WIM) systems on Oregon highways. This research identifies and develops a new methodology and algorithm to explore the accuracy of each station's weight and spacing data at a corridor level, and further implements the Statistical Process Control (SPC) method, finite mixture model, axle spacing error rating method, and data flag method in published research to examine the soundness of WIM systems. This research employs the historical WIM data to analyze sensor health and compares the eval

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Peressutti, Devis. "Motion modelling for respiratory motion estimation in minimally invasive cardiac interventions using intraprocedure ultrasound data." Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/motion-modelling-for-respiratory-motion-estimation-in-minimally-invasive-cardiac-interventions-using-intraprocedure-ultrasound-data(b23f01f8-9246-4230-a76d-8c38594fd8dc).html.

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Respiratory motion of the heart limits the utility of image-guided cardiac interventions, causing misalignments between the pre-procedure information used for guidance and the intra-procedure moving anatomy and instruments. As a result, the guidance can be misleading, compromising the accuracy and success of the intervention. Respiratory motion models have been proposed to estimate and correct for respiratory motion, but to date their clinical uptake has been very limited due to a lack of accuracy and robustness, and the interruptions that they typically introduce into the clinical work flow.

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17

Howard, Matthew. "Learning control policies from constrained motion." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3972.

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Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the task or the environment. Constraints are usually unobservable and frequently change between contexts. In this thesis, we explore the problem of learning control policies from data containing variable, dynamic and non-linear constraints on motion. We show that an effective approach for doing this is to learn the unconstrained policy in a way that is consistent with the constraints. We propose several novel algorithms for extracting these policies from movement data, where observations

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Wills, Joshua J. "Data analysis methods for motion segmentation and material reflectance." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3211281.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed June 7, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 104-112).

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Nar, Selim. "A Virtual Human Animation Tool Using Motion Capture Data." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609683/index.pdf.

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In this study, we developed an animation tool to animate 3D virtual characters. The tool offers facilities to integrate motion capture data with a 3D character mesh and animate the mesh by using Skeleton Subsurface Deformation and Dual Quaternion Skinning Methods. It is a compact tool, so it is possible to distribute, install and use the tool with ease. This tool can be used to illustrate medical kinematic gait data for educational purposes. For validation, we obtained medical motion capture data from two separate sources and animated a 3D mesh model by using this data. The animations are pre

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Cheng, Yafeng. "Functional regression analysis and variable selection for motion data." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3150.

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Modern technology o ers us highly evolved data collection devices. They allow us to observe data densely over continua such as time, distance, space and so on. The observations are normally assumed to follow certain continuous and smooth underline functions of the continua. Thus the analysis must consider two important properties of functional data: infinite dimension and the smoothness. Traditional multivariate data analysis normally works with low dimension and independent data. Therefore, we need to develop new methodology to conduct functional data analysis. In this thesis, we first study

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O'Neill, Jennifer K. "Backdriving a full motion simulator using flight recorder data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ53325.pdf.

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Das, Mitali. "Motion within music : the analysis of multivariate MIDI data." Thesis, University of York, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367466.

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Foster, Matthew. "Reconstruction and motion estimation of sparsely sampled ionospheric data." Thesis, University of Bath, 2009. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503658.

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This thesis covers two main areas which are related to the mapping and examination of the ionosphere. The first examines the performance and specific nuances of various state-of-the-art interpolation methods with specific application to mapping the ionosphere. This work forms the most widely scoped examination of interpolation technique for ionospheric imaging to date, and includes the introduction of normalised convolution techniques to geophysical data. In this study, adaptive-normalised convolution was found to perform well in ionospheric electron content mapping, and the popular technique,

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Basuki, Herry. "Generating novel animations of avatars using human motion data /." Leeds : University of Leeds, School of Computer Studies, 2003. http://www.leeds.ac.uk/cgi-bin/library/compst.pl?CAT=BSC&FILE=200304/basuki.pdf.

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Arvedson, Tilde, and Anna Lundemo. "Analysing and classifying wheelchair movements from motion capture data." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-167132.

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This is a project that describes a part of the development of a tool intended for wheelchair users in their learning process of new and important movements in everyday life and in sports. The process began with an investigation, with the help of people with wheelchair experience, of which movements that were considered important and which were considered useful in sports and in everyday life. The project was first focused on improving the technical skills of athletes practicing wheelchair sports. After studies and discussions it however changed focus, to also deal with obstacles in everyday li

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Hesse, Nikolas [Verfasser], and Ulrich [Akademischer Betreuer] Hofmann. "Unobtrusive medical infant motion analysis from RGB-D data." Freiburg : Universität, 2019. http://d-nb.info/121195675X/34.

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Julià, Ferré Ma Carme. "Missing Data Matrix Factorization Addressing the Structure from Motion Problem." Doctoral thesis, Universitat Autònoma de Barcelona, 2008. http://hdl.handle.net/10803/5785.

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Aquest treball es centra en la factorització de matrius per obtenir l'Estructura a partir del Moviment (SFM). La idea és descomposar la matriu de trajectòries en la matriu de moviment, que conté la posició relativa càmera-objecte a cada frame, i la matriu de forma, que conté les coordenades 3D dels punts característics. Aquesta factorització es pot obtenir utilitzant que la matriu de trajectòries té un rang reduït. En particular, si les trajectòries pertanyen a un únic objecte rígid, la matriu té com a molt rang 4. Tot i que s'han proposat diverses tècniques per tractar el problema de les matr

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Gong, Wenjuan. "3D Motion Data aided Human Action Recognition and Pose Estimation." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/116189.

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En aquest treball s’explora el reconeixement d’accions humanes i l'estimació de la seva postura en seqüències d'imatges. A diferència de les tècniques tradicionals d’aprenentatge a partir d’imatges 2D o vídeo amb la sortida anotada, en aquesta Tesi abordem aquest objectiu amb la informació de moviment 3D capturat, que ens ajudar a tancar el llaç entre les característiques 2D de la imatge i les interpretacions sobre el moviment humà.<br>En este trabajo se exploran el reconocimiento de acciones humanas y la estimación de su postura en secuencias de imágenes. A diferencia de las técnicas tradicio

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Dragan, Stephen P. "Motion generation and data acquisition for a rotational process rheometer." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61893.

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Bystam, Fredrik. "Improving motion tracking using gyroscope data in Augmented Reality applications." Thesis, KTH, Datorseende och robotik, CVAP, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166186.

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As commissioned by Bontouch AB, this project contains the attempt to create an Augmented Reality application for smartphones, where a parcel is visualised in order for a user to get a comprehensive image of the parcel size. The main focus of the project was to create an eectively running en- gine that can process images for computer vision, in order to determine the pose of the smartphone camera. The experi- ment explored the possibilities of using gyroscope measure- ments between input images in order to formulate valid as- sumptions of upcoming images using homographies. These assumptions we

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Kendrick, Connah. "Markerless facial motion capture : deep learning approaches on RGBD data." Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/622357/.

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Facial expressions are a series of fast, complex and interconnected movement that causes an array of deformations, such as stretching, compressing and folding of the skin. Identifying expression is a natural process in human vision, but due to the diversity of faces, it has many challenges for computer vision. Research in markerless facial motion capture using single Red Green Blue (RGB) camera has gained popularity due to the wide access of the data, such as from mobile phones. The motivation behind this work is much of the existing work attempts to infer the 3-Dimensional (3D) data from 2-Di

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Kulkarni, Amey S. "Motion Segmentation for Autonomous Robots Using 3D Point Cloud Data." Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-theses/1370.

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Achieving robot autonomy is an extremely challenging task and it starts with developing algorithms that help the robot understand how humans perceive the environment around them. Once the robot understands how to make sense of its environment, it is easy to make efficient decisions about safe movement. It is hard for robots to perform tasks that come naturally to humans like understanding signboards, classifying traffic lights, planning path around dynamic obstacles, etc. In this work, we take up one such challenge of motion segmentation using Light Detection and Ranging (LiDAR) point clouds.

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Zhang, Yuning. "Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1501876131092933.

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Rakowski, Michael D. "Bridge evaluation using in-service and weigh-in-motion data." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 184 p, 2009. http://proquest.umi.com/pqdweb?did=1654493661&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Betancourt, Michelle Renee. "Modeling Peak Ground Acceleration (PGA) From Collected Strong Motion Data." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/1861.

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The main focus of this thesis is to effectively estimate levels of peak ground acceleration (PGA) during a seismic event for a given site. This will be achieved by applying regression analysis via a mixed model methodology to data collected from previously recorded seismic events collected from the PEER Strong Motion Database using a program written in MATLAB. The basic mixed model combines both fixed and random effect terms. Two models are analyzed and compared based on varying combinations of predictor variables, such as magnitude, distance, shear wave velocity, and site class. While the pri

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Hakl, Henri. "Structure-from-motion for enclosed environments." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019.1/1195.

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Mott, Ryan. "Music in motion : the synthesis of album design and motion graphics for downloadable music /." Online version of thesis, 2009. http://hdl.handle.net/1850/10942.

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Delgado, Reyes Lourdes Marielle. "Evaluating motion processing algorithms for use with fNIRS data from young children." Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/5929.

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Motion artifacts are often a significant component of the measured signal in functional near-infrared spectroscopy (fNIRS) experiments. A variety of methods have been proposed to address this issue, including principal component analyses (PCA), Kalman filtering, correlation-based signal improvement (CBSI), wavelet filtering, spline interpolation, and autoregressive algorithms. The efficacy of these techniques has been compared using simulated data; however, our understanding of how these techniques fare when dealing with task-based cognitive data is limited. Recently, Brigadoi et al. (2014) qu

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Bányay, Dániel. "MLSurf : Surfer Motion Characterization Using Machine Learning Techniques." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264921.

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Wave surfing is a popular sport that requires minimal financial investment, while it can still be enjoyable from the very first attempt. At the same time, the demand for smart devices that enhance the experience of doing sports by analyzing and evaluating the activities is growing. For surf sport, there are some solutions that are able to collect statistics about activities being done during a surf session, but none of them is able to recognize specific maneuvers that are performed during wave riding. The goal of this Master Thesis is to improve a currently existing surf activity monitoring so

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Aslan, David. "Lagring av Motion Capture Data i NoSQL-databser : Undersökning av CouchDB." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11095.

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Motion capture data behöver lagra på ett eller annat sätt lagra detta med databas skulle innebära väldigt många fördelar. Den används på många olika sätt och i olika branscher därmed skulle innebära en stor förändring. Det finns två olika kategorier av databaser SQL databaser och NoSQL databaser, dem databaser som kommer testas är relationsbaserade MySQL och dokumentbaserade CouchDB med en prototyp som utvecklas för att utföra dessa tester. Testerna påvisar att CouchDB är bättre databaslösningen vid lagringen av motion capture data. Men ytterligare arbete skulle kunna utföra flera tester som p

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Shen, Yuping. "GEOMETRIC INVARIANCE IN THE ANALYSIS OF HUMAN MOTION IN VIDEO DATA." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3157.

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Human motion analysis is one of the major problems in computer vision research. It deals with the study of the motion of human body in video data from different aspects, ranging from the tracking of body parts and reconstruction of 3D human body configuration, to higher level of interpretation of human action and activities in image sequences. When human motion is observed through video camera, it is perspectively distorted and may appear totally different from different viewpoints. Therefore it is highly challenging to establish correct relationships between human motions across video sequenc

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Niu, Chaowei. "Patterns of motion in non-overlapping networks using vehicle tracking data." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58278.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 121-131).<br>We present a systematic framework to learn motion patterns based on vehicle tracking data captured by multiple non-overlapping uncalibrated cameras. We assume that the tracks from individual cameras are available. We define the key problems related to the multi-camera surveillance system and present solutions to these problems: learning the topology of the network, constructing tracki

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Silva, Marco Jorge Tome da. "Simulation of human motion data using short-horizon model-predictive control." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43041.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 52-56).<br>Many data-driven animation techniques are capable of producing high quality motions of human characters. Few techniques, however, are capable of generating motions that are consistent with physically simulated environments. Physically simulated characters, in contrast, are automatically consistent with the environment, but their motions are often unnatural because they are difficult to control. We present a model-predictive cont

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De, Wet Dirk Pieter Gerhardus. "Post-calibration and quality management of weigh-in-motion traffic data." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4205.

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Thesis (MScEng (Process Engineering))--University of Stellenbosch, 2010.<br>Thesis presented in fulfilment of the requirements for the degree of Master of Science in Engineering at Stellenbosch University<br>ENGLISH ABSTRACT: Weigh-in-motion (WIM) scales are installed on various higher order South African roads to provide traffic loading information for pavement design, strategic planning and law enforcement using a scientific approach. The two most respected international guideline documents for WIM systems are the American ASTM E1318 Standard and the COST 323 European Specification, y

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Nykvist, Joar. "Sonication in Kinesiophobia Therapy: Presenting Motion Capture Data as Mechanical Quantities." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211567.

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Kinesiophobia is a severe limitation in its victims' lives, this paper is part of a larger study aiming to use motion capture combined with a reliable mechanical model to provide auditory feedback on a kinesiophobia victim's locomotion on a track designed to inspire movements relevant for rehabilitation. This paper focuses on creating a theoretical model with a foundation in the biomechanics eld and uses it to establish programming logic that facilitates sonication methods used on the recorded motion data. Motion capture is a widely used technique and a lot of research has been done on how to

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Lundeen, Gregory N. "A comparison of ice drift motion from modeled and buoy data." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA246062.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, December 1990.<br>Thesis Advisor(s): Bourke, Robert H. ; Morison, James. "December 1990." Description based on title screen as viewed on April 1, 2010. DTIC Identifier(s): Buoys, Sea Ice, Arctic Buoys, Ice Forecast, Arctic, Theses. Author(s) subject terms: PIPS, Sea Ice, Arctic Buoys, Ice Forecast, Arctic. Includes bibliographical references (p. 106-111). Also available in print.

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Bailer, Christian [Verfasser]. "New Data Based Matching Strategies for Visual Motion Estimation / Christian Bailer." München : Verlag Dr. Hut, 2020. http://d-nb.info/1219321559/34.

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Filoche, Arthur. "Variational Data Assimilation with Deep Prior. Application to Geophysical Motion Estimation." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS416.

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La récente résurgence de l'apprentissage profond a bouleversé l'état de l'art dans bon nombre de domaines scientifiques manipulant des données en grande dimension. En particulier, la disponibilité et la flexibilité des algorithmes ont permis d'automatiser la résolution de divers problèmes inverses, apprenant des estimateurs directement des donnés. Ce changement de paradigme n'a pas échappé à la recherche en prévision météorologique numérique. Cependant, les problématiques inhérentes aux géosciences comme l'imperfection des données et l'absence de vérité terrain compliquent l'application direct

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Chung, Hing-yip Ronald, and 鍾興業. "Fast motion estimation with search center prediction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31220721.

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Taboada, Sophie. "Multi-Agent Motion Planning with Signal Temporal Logic Constraints." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292870.

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Motion planning algorithms allow us to define a sequence of configurations to guide robots from a starting point to an ending goal while considering the environment’s and the robot’s constraints. As all robots and circumstances are different, motion planning can be adapted to fit into the system’s specifications and the user’s preferences. Temporal Logic (TL) has been used to enable the implementation of more complex missions. In this work, we are interested in using TL to establish the affiliation between robots in a multi-robot system, as well as their affiliation with features in the worksp

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