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Dissertations / Theses on the topic 'Multisensor'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Filippidis, Arthur. "Multisensor data fusion." Title page, contents and abstract only, 1993. http://web4.library.adelaide.edu.au/theses/09ENS/09ensf482.pdf.

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2

Purohit, Madhavi. "Multisensor integration for a robot." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1182456473.

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3

Petrovic, Vladimir. "Multisensor pixel-level image fusion." Thesis, University of Manchester, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715412.

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4

Pradhan, Pushkar S. "Multiresolution based, multisensor, multispectral image fusion." Diss., Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/etd/show.asp?etd=etd-07082005-140541.

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5

Jeong, Soonho Tugnait Jitendra K. "Topics in multisensor maneuvering target tracking." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Summer/doctoral/JEONG_SOONHO_43.pdf.

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6

Bonaccorso, Filippo. "Multisensor data fusion for robotic control." Doctoral thesis, Università di Catania, 2012. http://hdl.handle.net/10761/1081.

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Nowadays robots perform more and more tasks, from simpler ones such as automatic domestic vacuum cleaner, to highly skilled ones such as tele-surgery. To do so a robot continuously needs to know what to do and what has been done. A user controls robots through a system controller, which processes both his commands and information from the environment. These information are collected by a measurement system, often called observer, which bring back them to the system controller. Measures are the information used to perform the control. The simpler measurement system can, in general, be considere

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7

PINARDI, STEFANO. "Movements recognition with intelligent multisensor analysis." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19297.

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In movement science with inertial sensor many different methodologies resolving specific aspects of movement recognition have been proposed. They are very interesting, and useful, but none of them are generally explicative of what is going on in the semantic sense. When we go down to the movement recognition/classification area (for example in Ambient Intelligence) we do not have a feasible model that can be considered generally predictive or usable for activity recognition. Also, in the field of movement recognition with inertial sensors many technological issues arise: technological div

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8

Rødningsby, Anders. "Multitarget Multisensor Trackingin the Presence of Wakes." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11913.

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TARGET tracking is an essential requirement for surveillance and control systems to interpret the environment. This environment may contain multiple targets, and the environmental information may be obtained by multiple sensors in a multitarget multisensor tracking system. In this thesis we focus on targets which, in addition to reflecting signals themselves, also have a trailing path behind them, called a wake. This wake causes additional measurements to those originating from the target. When the measurements are processed, the estimated track can be misled and sometimes lose the real target

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9

Berg, Timothy Martin. "Model distribution in decentralized multisensor data fusion." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317852.

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10

Hilmersson, Anette. "Multisensor Stress Monitoring For Non-Stationary Subjects." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28340.

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Monitoring stress in real-time, in a non-laboratory environment can be benecial in several applications. One of these, which have been the motivation for this thesis, is to to perform this measurement during Attention decit hyperactivity disorder (ADHD) diagnosis. Monitoring several physiological responses to internal or external stimuli in a single soft-real-time system is nota solution widely used in an application like this. The thesis starts by studying several stress related responses in detail. Sensors for all of the responses are not implemented nor is it possible toimplement in to the

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11

Wellington, Sean. "Algorithms for sensor validation and multisensor fusion." Thesis, Southampton Solent University, 2002. http://ssudl.solent.ac.uk/398/.

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Existing techniques for sensor validation and sensor fusion are often based on analytical sensor models. Such models can be arbitrarily complex and consequently Gaussian distributions are often assumed, generally with a detrimental effect on overall system performance. A holistic approach has therefore been adopted in order to develop two novel and complementary approaches to sensor validation and fusion based on empirical data. The first uses the Nadaraya-Watson kernel estimator to provide competitive sensor fusion. The new algorithm is shown to reliably detect and compensate for bias errors,

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12

Prajitno, Prawito. "Neuro-fuzzy methods in multisensor data fusion." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251258.

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13

Remund, Quinn P. "Multisensor microwave remote sensing in the cryosphere /." Diss., CLICK HERE for online access, 2000. http://contentdm.lib.byu.edu/ETD/image/etd7.pdf.

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14

Remund, Quinn P. "Multisensor Microwave Remote Sensing in the Cryosphere." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/72.

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Because the earth's cryosphere influences global weather patterns and climate, the scientific community has had great interest in monitoring this important region. Microwave remote sensing has proven to be a useful tool in estimating sea and glacial ice surface characteristics with both scatterometers and radiometers exhibiting high sensitivity to important ice properties. This dissertation presents an array of studies focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are th

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15

Klaus, Ferdinand. "Einführung in Techniken und Methoden der Multisensor-Datenfusion." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971151989.

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16

Robl, Christian. "Aufgabenorientierte Kopplung von Sensoren mit unterschiedlichen Abtasteigenschaften." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=959771166.

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17

Dittmann, Brigitte. "Entwicklung und Realisierung eines Sensorsystems auf massenspektrometrischer Basis." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=96214715X.

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18

Rühl, Thorsten. "Studien zur verbesserten Ausnutzung des Informationsgehaltes von Multisensorsystemen." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963710591.

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19

Jia, Huamin. "Data fusion methodologies for multisensor aircraft navigation systems." Thesis, Cranfield University, 2004. http://hdl.handle.net/1826/781.

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The thesis covers data fusion for aircraft navigation systems in distributed sensor systems. Data fusion methodologies are developed for the design, development, analysis and simulation of multisensor aircraft navigation systems. The problems of sensor failure detection and isolation (FDI), distributed data fusion algorithms and inertial state integrity monitoring in inertial network systems are studied. Various existing integrated navigation systems and Kalman filter architectures are reviewed and a new generalised multisensor data fusion model is presented for the design and development of m

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20

Khider, Mohammed [Verfasser]. "Multisensor-Based Positioning for Pedestrian Navigation / Mohammed Khider." München : Verlag Dr. Hut, 2014. http://d-nb.info/1047994984/34.

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21

FernaÌndez, Mariano. "Failure detection and isolation in decentralised multisensor systems." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260155.

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22

Terpening, Brian Everett. "Application of Kalman filter on multisensor fusion tracking." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/26384.

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Approved for public release; distribution is unlimited<br>The use of Kalman filtering in tracking targets and the reconstruction of a target's track are addressed in two separate fusion schemes. First, the Kalman filter is used to provide estimates of the position and velocity of a target based upon observations of the target's bearing. Two sensors, a radar in receive mode and an infra-red sensor, take bearings to the target at different scan rates. This information is then fused within the filter to obtain the target's track. Secondly, range, bearing, and frequency are used in fusion. Kalman

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23

Escamilla-Ambrosio, Ponciano Jorge. "Intelligent adaptive multisensor data fusion using hybrid architectures." Thesis, University of Sheffield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398626.

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24

Hinton, Andrew. "The development of multisensor arrays utilising conducting polymers." Thesis, Sheffield Hallam University, 1997. http://shura.shu.ac.uk/19796/.

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This thesis is concerned with the continued development of multisensor array sensing technology for the detection and classification of aromas. The technology applies the use of conducting polymers grown across a gap between metallic conductors. The electrochemically deposited films complete a circuit and providing electrical resistance. In this format the films act as chemical resistors (chemiresistors) the current flow being influenced by the polymers' molecular electronics. Devices of this nature are potentially useful as sensors for analytes which cause the reversible modulation of the fil

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25

Zouba, Valentin Nadia. "Multisensor fusion for monitoring elderly activities at home." Nice, 2010. http://www.theses.fr/2010NICE4001.

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Dans cette thèse, une approche combinant des données issues de capteurs hétérogènes pour la reconnaissance d'activités des personnes âgées à domicile est proposée. Cette approche consiste à combiner les données fournies par des capteurs vidéo avec des données fournies par des capteurs environnementaux pour suivre l'interaction des personnes avec l'environnement. La première contribution est un nouveau modèle de capteur capable de donner une représentation cohérente et efficace des informations fournies par différents types de capteurs physiques. Ce modèle inclue l'incertitude sur la mesure. La

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26

Gunatilaka, Ajith Harshalal. "Application of multisensor fusion to improve landmine detection /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488195633517176.

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27

Shah, Shishir Kirit. "Probabilistic multifeature/multisensor integration for automatic object recognition /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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28

Kuhl, Mark R. "Ridge regression signal processing applied to multisensor position fixing." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183651058.

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29

Liimatainen, Saana Pauliina. "Hybrid framework for dynamic position determination in multisensor environments." Thesis, University of Hull, 2009. http://hydra.hull.ac.uk/resources/hull:2399.

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Information about a user's context is crucial in obtaining the goal of ubiquitous computing. This thesis introduces a new approach in for looking at a special case of context; location information. Making devices location-aware is the first step of providing context-based services. Existing technologies for position determination are ill suited in terms of interoperability and heterogeneity. Furthermore, they rely either on vast and often expensive infrastructures to perform the position estimation or alternatively the mobile device is burdened with the responsibility of localising itself. Bot

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30

Al-Jassar, Hala Khalid. "Retrieval of surface microwave emissivity using multisensor satellite measurements." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283304.

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31

Zhao, Haibin. "Multisensor integration and discrete geometry processing for coordinate metrology." Cachan, Ecole normale supérieure, 2010. http://tel.archives-ouvertes.fr/tel-00451244/fr/.

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L'intégration de systèmes multi-capteurs est la réponse la plus adaptée aux besoins croissants en matière de complexité et d'exactitude de mesures en métrologie par coordonnées. Des efforts importants sont consacrés à développer des systèmes multi-capteurs qui permettent d'assurer une mesure globale de la géométrie avec une incertitude réduite. Cette thèse a pour objectif l'intégration de systèmes multi-capteurs en métrologie par coordonnées selon deux aspects: la modélisation des fonctions et des données et le traitement de la géométrie discrète. La modélisation des fonctions et des données p

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32

Muller, Amanda Christine. "COGNITIVELY-ENGINEERED MULTISENSOR DATA FUSION SYSTEMS FOR MILITARY APPLICATIONS." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1152542071.

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33

Silva, David Tiago Vieira da. "Multisensor calibration and data fusion using LIDAR and vision." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17967.

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Mestrado em Engenharia Mecânica<br>Este trabalho expande um pacote de calibra çao extrínseca a sensores baseados em visão. Uma bola e usada como alvo de calibração para estimar a posição e orientação de vários sensores relativamente a um referencial comum. Primeiramente, e desenvolvido um algoritmo para deteção da bola na imagem, em seguida, são implementados e testados dois métodos para estimar a posição e orientação da câmara relativamente ao referencial de referência. Adicionalmente, uma interface gráfica e desenvolvida para o pacote de calibração. A interface permite a calibração

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34

Abmayr, Thomas. "Calibration and registration framework for multisensor panoramic color scanning." Aachen Shaker, 2009. http://d-nb.info/999731661/04.

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35

Wong, Yee Chin. "Target tracking in a multisensor environment using neural networks." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/298748.

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The advent of technology has brought to the field of engineering many tools that were once considered impractical. For example, the increased processing speed of microprocessors now allows measurements from image sensors to be used for target tracking or target identification in real time--a task once thought unachievable. Of late the advances made in artificial intelligence (AI), specifically the artificial neural network, have sprung many different applications among which the implementation of AI controllers being the most popular. However, these advances have been slow in their implementat

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36

Ogaja, Clement Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "A framework in support of structural monitoring by real time kinematic GPS and multisensor data." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2002. http://handle.unsw.edu.au/1959.4/18662.

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Due to structural damages from earthquakes and strong winds, engineers and scientists have focused on performance based design methods and sensors directly measuring relative displacements. Among the monitoring methods being considered include those using Global Positioning System (GPS) technology. However, as the technical feasibility of using GPS for recording relative displacements has been (and is still being) proven, the challenge for users is to determine how to make use of the relative displacements being recorded. This thesis proposes a mathematical framework that supports the use of R

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37

Ruiz, Ruiz Antonio Jesús. "Diseño de una arquitectura de localización geográfica para entornos de interior basada en información multisensor = a multisensor architecture for geographical positioning in indoor environments." Doctoral thesis, Universidad de Murcia, 2014. http://hdl.handle.net/10803/284895.

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En esta tesis presentamos la arquitectura de un sistema de localización que hace uso de los datos obtenidos a partir de los múltiples sensores disponibles en los smartphones actuales. Nuestro principal objetivo es ofrecer una solución capaz de soportar servicios basados en localización precisos, tales como aplicaciones de realidad aumentada, alcanzando un buen equilibrio entre la precisión y el rendimiento obtenidos. Presentaremos la arquitectura que abarca el diseño de nuestro sistema propuesto. Dicha arquitectura soporta el diseño y desarrollo de servicios capaces de combinar sensores de dis

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38

San, Jose Antonio P. "Theater Ballistic Missile defense-multisensor fusion, targeting and tracking techniques." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA346055.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1998.<br>Thesis advisor(s): Robert G. Hutchins. "March 1998." Includes bibliographical references (p. 237). Also available online.

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39

Hausmann, Felix [Verfasser]. "Entwicklung einer Multisensor-Heissfilmtechnik zur Transitionserkennung im Reiseflug / Felix Hausmann." Aachen : Shaker, 2004. http://d-nb.info/1172609527/34.

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40

Anglesea, John Robert Edward. "The optimisation of multisensor arrays in electronic odour sensing systems." Thesis, University of Derby, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270027.

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41

Mirabadi, Ahmad. "Fault tolerant train navigation systems using a multisensor integration approach." Thesis, University of Sheffield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322911.

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42

Atkinson, Kevin E. (Kevin Edward) 1979. "Power-aware multisensor-management tracking on the Micro-AMPS platform." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87377.

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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (leaves 60-61).<br>by Kevin E. Atkinson.<br>M.Eng.and S.B.

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43

Nguyen, Trang. "Comparison of Sampling-Based Algorithms for Multisensor Distributed Target Tracking." ScholarWorks@UNO, 2003. http://scholarworks.uno.edu/td/20.

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Nonlinear filtering is certainly very important in estimation since most real-world problems are nonlinear. Recently a considerable progress in the nonlinear filtering theory has been made in the area of the sampling-based methods, including both random (Monte Carlo) and deterministic (quasi-Monte Carlo) sampling, and their combination. This work considers the problem of tracking a maneuvering target in a multisensor environment. A novel scheme for distributed tracking is employed that utilizes a nonlinear target model and estimates from local (sensor-based) estimators. The resulting est

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44

Vicari, Matheus Boni. "Estimativas de variáveis biofísicas da canola com dados espectrais multisensor." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/129675.

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Esse trabalho utilizou sensores remotos, em escala local e regional, para caracterizar o padrão espectral da canola e propor metodologias de criação de máscaras de cultivo, através da classificação de imagens de satélite, e de geração de estimativas de variáveis biofísicas, a partir de índices de vegetação medidos ao longo do ciclo. As medições das variáveis biofísicas foram realizadas em parcelas experimentais, na Embrapa-Trigo no município de Coxilha, e em lavouras monitoradas nas mesorregiões Nordeste e Noroeste do Rio Grande do Sul, para as safras 2013 e 2014. As variáveis biofísicas medid

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45

Pawlak, Robert James. "Multisensor track initiation method that addresses the missing measurement problem." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38631.

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46

Kneissler, Andreas. "Multisensor-Strategie zur Optimierung des Anwalzverhaltens beim Radial-Axial-Ringwalzen." Aachen Shaker, 2008. http://d-nb.info/993898289/04.

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47

Kim, Youngwook. "Multisensor Translation and Continuity of Vegetation Indices Using Hyperspectral Data." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/193681.

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The earth surface is monitored periodically by numerous satellite sensors which have different spectral response functions, image acquisition heights, atmosphere correction schemes, overpass times, and sun/view angle geometries. Temporal and spatial variations of land surface properties, such as vegetation index, Leaf Area Index (LAI), land surface temperature, and soil moisture, have been provided by long-term time series of various remote sensing datasets. Inter-sensor translation equations are required to build long-term time series by the combination of multiple sensors from historical to

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48

Respati, Sara Wibawaning. "Network-scale arterial traffic state prediction: Fusing multisensor traffic data." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/202990/1/Sara%20Wibawaning_Respati_Thesis.pdf.

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Road traffic congestion is an increasing societal problem. Road agencies and users seeks accurate and reliable travel speed information. This thesis developed a network-scale traffic state prediction based on Convolutional Neural Network (CNN). The method can predict the speed over the network accurately by preserving road connectivity and incorporating historical datasets. When dealing with an extensive network, the thesis also developed a clustering method to reduce the complexity of the prediction. By accurately predict the traffic state over a network, traffic operators can manage the netw

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49

Olson, Mark A. "Simulation of a multitarget, multisensor, track-splitting tracker for maritime surveillance." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA370905.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, September 1999.<br>Thesis advisor(s): Titus, Harold A. ; Loomis, Herschel. "September 1999". Includes bibliographical references (p. 79). Also available online.

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50

Demiroglu, Cenk. "Multisensor Segmentation-based Noise Suppression for Intelligibility Improvement in MELP Coders." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10455.

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This thesis investigates the use of an auxiliary sensor, the GEMS device, for improving the quality of noisy speech and designing noise preprocessors to MELP speech coders. Use of auxiliary sensors for noise-robust ASR applications is also investigated to develop speech enhancement algorithms that use acoustic-phonetic properties of the speech signal. A Bayesian risk minimization framework is developed that can incorporate the acoustic-phonetic properties of speech sounds and knowledge of human auditory perception into the speech enhancement framework. Two noise suppression systems are pre

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