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Dissertations / Theses on the topic 'Object Detecting Sensors'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Fernandes, Rui Miguel Félix. "Object signature in radio frequency." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13708.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>The RF signature can be consider as a fingerprint of an object when submitted to electromagnetic radiation. Based on this concept, the initial goal of this work was to elaborate a comparative analysis of the Radio Frequency signature of different materials. Through the design of a prototype based on an adapted Wi-Fi network was developed an innovative system capable of distinguishing materials with the analysis of their interference in the propagated channel. In order to refine this distinction was utilized a signal processing tool, the

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2

Sikdar, Ankita. "Depth based Sensor Fusion in Object Detection and Tracking." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515075130647622.

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3

Gudipudi, Venkata Naga Manikanta Aditya. "Detection and velocity of a fast moving object." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14400.

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Over a past few years, technology is constructing the way humans live. With the rapid growth towards Internet of Things (IOT) and other connected services, companies are investigating the ways to enhance current living conditions. There are several devices that are launched in the market to help people to increase flexibility and most of all, to see beyond what is possible. It is helping us reinforce ourselves in our day to day activities. Even in sports, thanks to the latest technological developments, most people’s lives have been enhanced and simplified. Advances in technology has a huge im

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Tun, Min Han. "Virtual image sensors to track human activity in a smart house." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/904.

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With the advancement of computer technology, demand for more accurate and intelligent monitoring systems has also risen. The use of computer vision and video analysis range from industrial inspection to surveillance. Object detection and segmentation are the first and fundamental task in the analysis of dynamic scenes. Traditionally, this detection and segmentation are typically done through temporal differencing or statistical modelling methods. One of the most widely used background modeling and segmentation algorithms is the Mixture of Gaussians method developed by Stauffer and Grimson (199

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5

Venkataraayan, Kavitha. "Multi-wavelength, multi-beam, photonic based sensor for object discrimination and positioning." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/488.

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Over the last decade, substantial research efforts have been dedicated towards the development of advanced laser scanning systems for discrimination in perimeter security, defence, agriculture, transportation, surveying and geosciences. Military forces, in particular, have already started employing laser scanning technologies for projectile guidance, surveillance, satellite and missile tracking; and target discrimination and recognition. However, laser scanning is relatively a new security technology. It has previously been utilized for a wide variety of civil and military applications. Terres

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6

Javed, Omar. "SCENE MONITORING WITH A FOREST OF COOPERATIVE SENSORS." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3448.

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In this dissertation, we present vision based scene interpretation methods for monitoring of people and vehicles, in real-time, within a busy environment using a forest of co-operative electro-optical (EO) sensors. We have developed novel video understanding algorithms with learning capability, to detect and categorize people and vehicles, track them with in a camera and hand-off this information across multiple networked cameras for multi-camera tracking. The ability to learn prevents the need for extensive manual intervention, site models and camera calibration, and provides adaptability to

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7

Jiang, Lixing [Verfasser]. "Object Recognition and Saliency Detection for Indoor Robots using RGB-D Sensors / Lixing Jiang." München : Verlag Dr. Hut, 2016. http://d-nb.info/1106593723/34.

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8

Giovanelli, Debora. "Electrochemical detection of gases." Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:fd447153-b6dd-4be1-aae5-4ece5dc36856.

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This thesis discusses diverse electrochemical strategies for the determination of the concentration of the gases hydrogen sulfide, ammonia and halothane. The chemical tagging of sulfide by a variety of structurally diverse substituted benzoquinone species was studied over a wide range of pH (2<pH<10). Each derivative was found to respond to increasing concentration of sulfide (typically over a range 10-200 μM). The electrochemically initiated reaction of N,N-diethyl-pphenylenediamine (DEPD) with sulfide in N,N-dimethylformamide (DMF) was next examined with quantitative detection of sulfide (li

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9

Lima, João Paulo Silva do Monte. "Object detection and pose estimation from rectification of natural features using consumer RGB-D sensors." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/12143.

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Submitted by Nayara Passos (nayara.passos@ufpe.br) on 2015-03-12T13:53:20Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) TESE João Paulo Silva do Monte Lima.pdf: 5689244 bytes, checksum: e6e2c3f1da85d18b6bb7049e458f50e7 (MD5)<br>Made available in DSpace on 2015-03-12T13:53:20Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) TESE João Paulo Silva do Monte Lima.pdf: 5689244 bytes, checksum: e6e2c3f1da85d18b6bb7049e458f50e7 (MD5) Previous issue date: 2014<br>CAPES , CNPq<br>Sistemas de R

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Tun, Min Han. "Virtual image sensors to track human activity in a smart house." Curtin University of Technology, School of Computing, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17557.

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With the advancement of computer technology, demand for more accurate and intelligent monitoring systems has also risen. The use of computer vision and video analysis range from industrial inspection to surveillance. Object detection and segmentation are the first and fundamental task in the analysis of dynamic scenes. Traditionally, this detection and segmentation are typically done through temporal differencing or statistical modelling methods. One of the most widely used background modeling and segmentation algorithms is the Mixture of Gaussians method developed by Stauffer and Grimson (199

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11

Kim, Jung Rack. "The detection and reconstruction of landscape objects using multi-sensor fusion." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444833/.

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Automatic object detection and reconstruction has been one of the main objectives of remote sensing applications. The primary goal of this research work is to develop techniques for the automated production of dense landscape object models by combining various optical imagery with 3D information. It seeks to focus object- identification ratio updating to an applicable level through multi source data fusion with a two fold application building detection and tree detection in urban areas, and impact crater detection on planetary surfaces. The system for urban-area object detection involves focus

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Forssén, Per-Erik. "Detection of Man-made Objects in Satellite Images." Thesis, Linköping University, Linköping University, Computer Vision, 1997. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54356.

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<p>In this report, the principles of man-made object detection in satellite images is investigated. An overview of terminology and of how the detection problem is usually solved today is given. A three level system to solve the detection problem is proposed. The main branches of this system handle road, and city detection respectively. To achieve data source flexibility, the Logical Sensor notion is used to model the low level system components. Three Logical Sensors have been implemented and tested on Landsat TM and SPOT XS scenes. These are: BDT (Background Discriminant Transformation) to co

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Novick, David Keith. "Implementation of a sensor fusion-based object-detection component for an autonomous outdoor vehicle." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000148.

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Thesis (Ph. D.)--University of Florida, 2002.<br>Title from title page of source document. Document formatted into pages; contains xi, 147 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Vu, Trung-Dung. "Vehicle perception : localization, mapping with detection, classification and tracking of moving objects." Phd thesis, Grenoble INPG, 2009. http://www.theses.fr/2009INPG0183.

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La perception de l'environnement dynamique d'un véhicule est une étape très importante dans la construction d'un système d'assistance à la conduite automobile. Le travail de thèse aborde les problèmes associés de localisation, de cartographie (appelé « mapping »), de détection, de classification, et de suivi des objets mobiles perçus à l'aide des capteurs embarqués. Les modèles et algorithmes développés se concentrent sur l'utilisation de capteurs télémétriques à balayage laser. Dans un premier temps, nous proposons une méthode basée sur une grille d'occupation pour résoudre le problème de « m

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Fallah, Haghmohammadi Hamidreza. "Fever Detection for Dynamic Human Environment Using Sensor Fusion." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37332.

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The objective of this thesis is to present an algorithm for processing infrared images and accomplishing automatic detection and path tracking of moving subjects with fever. The detection is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera and the temperature of the radiating object. These features are used for tracking the identified person with fever. The position of camera with respect to direction of motion the walkers appeared to be critical in this process. Infrared thermography is a remote sensing techn

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Sushko, O. A., and M. M. Rozhitskii. "Sensor based on semiconductor nanostructures for polycyclic aromatic hydrocarbons detection in water objects." Thesis, ISE, 2013. http://openarchive.nure.ua/handle/document/8868.

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Every year in the world's water basins fall thousands of chemicals with unpredictable effects, many of them are hazardous for human being among which are polycyclic aromatic hydrocarbons (PAHs). That is why their detection and content monitoring are quite important Modern methods and means for the determination of PAH have several disadvantages such as high detection limit, low selectivity, long duration and complexity of the analysis procedure. The work sensor based on semiconductor nanostructures avoiding of these disadvantages is described.

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Ke, Jun. "Architectures for Compressive Imaging with Applications in Sensor Networks, Adaptive Object Reconstruction, and Motion Detection." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193626.

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Computational imaging becomes a cutting edge research area by incorporating signal/image processing as an inherent part of an imaging system. Its civil and military applications include surveillance, automobile, and medical health. The newest branch of computational imaging, compressive imaging emerged in several years back. In-stead of making measurement for each individual object pixel, compressive imaging directly making compressed measurements using optical/opto-electronic devices in data acquisition process. These compressed measurements referred to as features are linear combinations of

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Turnbull, Ross G. "Sensitivity enhancement in micro-electromechanical systems for sensor applications." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:6d863c2f-532f-40fc-b34a-0f877225c8bc.

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Micro-mechanical sensors are typically fabricated both in large numbers and economically using the photolithographic processes that were originally developed in the integrated circuit industry. The magnitude of a change in resonant frequency of a micro-me chanical structure can be used to quantify a change in mass of such a device. Hence, when packaged with integrated measurement, actuation and control electronics, it is possible to deliver a low-cost and small system in a package using fabrication techniq ues that are both mature and widely available. A micro-mechanical resonator has been des

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19

Denman, Simon Paul. "Improved detection and tracking of objects in surveillance video." Queensland University of Technology, 2009. http://eprints.qut.edu.au/29328/.

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Surveillance networks are typically monitored by a few people, viewing several monitors displaying the camera feeds. It is then very dicult for a human op- erator to eectively detect events as they happen. Recently, computer vision research has begun to address ways to automatically process some of this data, to assist human operators. Object tracking, event recognition, crowd analysis and human identication at a distance are being pursued as a means to aid human operators and improve the security of areas such as transport hubs. The task of object tracking is key to the eective use of more ad

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Denman, Simon P. "Improved detection and tracking of objects in surveillance video." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/29328/1/Simon_Denman_Thesis.pdf.

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Surveillance networks are typically monitored by a few people, viewing several monitors displaying the camera feeds. It is then very difficult for a human operator to effectively detect events as they happen. Recently, computer vision research has begun to address ways to automatically process some of this data, to assist human operators. Object tracking, event recognition, crowd analysis and human identification at a distance are being pursued as a means to aid human operators and improve the security of areas such as transport hubs. The task of object tracking is key to the effective use of

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21

Wang, Zeng. "Laser-based detection and tracking of dynamic objects." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c7f2da08-fa1e-4121-b06b-31aad16ecddd.

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In this thesis, we present three main contributions to laser-based detection and tracking of dynamic objects, from both a model-based point of view and a model-free point of view, with an emphasis on applications to autonomous driving. A segmentation-based detector is first proposed to provide an end-to-end detection of the classes car, pedestrian and bicyclist in 3D laser data amongst significant background clutter. We postulate that, for the particular classes considered, solving a binary classification task outperforms approaches that tackle the multi-class problem directly. This is confirm

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Chen, Qi. "Cooperative Perception for Connected Autonomous Vehicle Edge Computing System." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707376/.

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This dissertation first conducts a study on raw-data level cooperative perception for enhancing the detection ability of self-driving systems for connected autonomous vehicles (CAVs). A LiDAR (Light Detection and Ranging sensor) point cloud-based 3D object detection method is deployed to enhance detection performance by expanding the effective sensing area, capturing critical information in multiple scenarios and improving detection accuracy. In addition, a point cloud feature based cooperative perception framework is proposed on edge computing system for CAVs. This dissertation also uses the

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Ghorpade, Vijaya Kumar. "3D Semantic SLAM of Indoor Environment with Single Depth Sensor." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC085/document.

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Pour agir de manière autonome et intelligente dans un environnement, un robot mobile doit disposer de cartes. Une carte contient les informations spatiales sur l’environnement. La géométrie 3D ainsi connue par le robot est utilisée non seulement pour éviter la collision avec des obstacles, mais aussi pour se localiser et pour planifier des déplacements. Les robots de prochaine génération ont besoin de davantage de capacités que de simples cartographies et d’une localisation pour coexister avec nous. La quintessence du robot humanoïde de service devra disposer de la capacité de voir comme les h

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Chavez, Garcia Ricardo Omar. "Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM034/document.

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Les systèmes avancés d'assistance au conducteur (ADAS) aident les conducteurs à effectuer des tâches de conduite complexes et à éviter ou atténuer les situations dangereuses. Le véhicule détecte le monde extérieur au moyen de capteurs, et ensuite construit et met à jour un modèle interne de la configuration de l'environnement. La perception de véhicule consiste à établir des relations spatiales et temporelles entre le véhicule et les obstacles statiques et mobiles dans l'environnement. Cette perception se compose de deux tâches principales : la localisation et cartographie simultanées (SLAM) t

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Bilash, О. М., О. М. Galaichenko, O. A. Sushko, and M. M. Rozhitskii. "Benzo[a]pyrene its influence on human organism and new nanophotonic detection method." Thesis, Benzo[a]pyrene its influence on human organism and new nanophotonic detection method, 2011. http://openarchive.nure.ua/handle/document/8860.

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Benzo[a]pyrene (BaP) is representative of polycyclic aromatic hydrocarbons (PAHs) family, the substance of the first hazard class. In an environmental, BaP accumulates mainly in a soil and less in a water. It comes from soil to plants and human tissues and continues to move on in the food chain in living organisms where at each stage the BaP concentration is increasing sufficiently. To human organism BaP can come through skin, respiratory organs, digestive system and transplacental infections. Besides that BaP is the most typical chemical carcinogen in environmental, it is dangerous to humans

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Amplianitis, Konstantinos. "3D real time object recognition." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17717.

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Die Objekterkennung ist ein natürlicher Prozess im Menschlichen Gehirn. Sie ndet im visuellen Kortex statt und nutzt die binokulare Eigenschaft der Augen, die eine drei- dimensionale Interpretation von Objekten in einer Szene erlaubt. Kameras ahmen das menschliche Auge nach. Bilder von zwei Kameras, in einem Stereokamerasystem, werden von Algorithmen für eine automatische, dreidimensionale Interpretation von Objekten in einer Szene benutzt. Die Entwicklung von Hard- und Software verbessern den maschinellen Prozess der Objek- terkennung und erreicht qualitativ immer mehr die Fähigkeiten des m

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Osborne, Michael A. "Bayesian Gaussian processes for sequential prediction, optimisation and quadrature." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:1418c926-6636-4d96-8bf6-5d94240f3d1f.

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We develop a family of Bayesian algorithms built around Gaussian processes for various problems posed by sensor networks. We firstly introduce an iterative Gaussian process for multi-sensor inference problems, and show how our algorithm is able to cope with data that may be noisy, missing, delayed and/or correlated. Our algorithm can also effectively manage data that features changepoints, such as sensor faults. Extensions to our algorithm allow us to tackle some of the decision problems faced in sensor networks, including observation scheduling. Along these lines, we also propose a general me

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Velandia, Henry Roncancio. "Object detection and classication in outdoor environments for autonomous passenger vehicle navigation based on Data Fusion of Articial Vision System and LiDAR sensor." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18149/tde-24072016-152124/.

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This research project took part in the SENA project (Autonomous Embedded Navigation System), which was developed at the Mobile Robotics Lab of the Mechatronics Group at the Engineering School of São Carlos, University of São Paulo (EESC - USP) in collaboration with the São Carlos Institute of Physics. Aiming for an autonomous behavior in the prototype vehicle this dissertation focused on deploying some machine learning algorithms to support its perception. These algorithms enabled the vehicle to execute articial-intelligence tasks, such as prediction and memory retrieval for object classicatio

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Hosseinyalamdary, Saivash Hosseinyalamdary. "Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166.

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Coutee, Adam S. "Virtual Assembly and Disassembly Analysis: An Exploration into Virtual Object Interactions and Haptic Feedback." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-05272004-174324/unrestricted/coutee%5adam%5s%5200407%5phd.pdf.

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Thesis (Ph. D.)--School of Mechanical Engineering, Georgia Institute of Technology, 2005. Directed by Bert Bras.<br>Bras, Bert, Committee Chair ; Baker, Nelson, Committee Member ; Griffin, Paul, Committee Member ; Paredis, Chris, Committee Member ; Rosen, David, Committee Member. Vita. Includes bibliographical references.

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渡辺, 崇., Takashi WATANABE, 優樹前田 та Yuki MAEDA. "人が放置する物体の動的認識". 日本機械学会, 2006. http://hdl.handle.net/2237/9197.

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Xiong, Linhongjia. "Amperometric gas sensing." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a8dcbf36-14b6-4627-b380-3b81e83d446c.

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Amperometric gas sensors are widely used for environmental and industrial monitoring. They are sensitive and cheap but suffer from some significant limitations. The aim of the work undertaken in this thesis is the development of ‘intelligent’ gas sensors to overcome some of these limitations. Overall the thesis shows the value of ionic liquids as potential solvents for gas sensors, overcoming issues of solvent volatility and providing a wide potential range for electrochemical measurements. Methods have been developed for sensitive amperometry, the tuning of potentials and especially proof-of-

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James, Dean. "Cavity enhanced spectroscopies for small volume liquid analysis." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:0b47d4a1-7f21-4c80-a8d4-496ca1080d52.

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Cavity enhanced spectroscopies (CES) are currently amongst the most sensitive spectroscopic techniques available for probing gas-phase samples, however their application to the liquid-phase has been more limited. Sensitive analysis of submicrolitre liquid samples is highly desirable, as miniaturisation allows for the reaction and analysis of scarce or expensive reagents, produces less waste, and can increase the speed of separations and reactions, whilst having a small footprint and high throughput. Absorption spectroscopy is a particularly desirable technique due to its universal, label-free

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Wang, Yue. "Decision-Making for Search and Classification using Multiple Autonomous Vehicles over Large-Scale Domains." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/87.

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This dissertation focuses on real-time decision-making for large-scale domain search and object classification using Multiple Autonomous Vehicles (MAV). In recent years, MAV systems have attracted considerable attention and have been widely utilized. Of particular interest is their application to search and classification under limited sensory capabilities. Since search requires sensor mobility and classification requires a sensor to stay within the vicinity of an object, search and classification are two competing tasks. Therefore, there is a need to develop real-time sensor allocation decisi

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Haberjahn, Mathias. "Multilevel Datenfusion konkurrierender Sensoren in der Fahrzeugumfelderfassung." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16856.

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Mit der vorliegenden Dissertation soll ein Beitrag zur Steigerung der Genauigkeit und Zuverlässigkeit einer sensorgestützten Objekterkennung im Fahrzeugumfeld geleistet werden. Aufbauend auf einem Erfassungssystem, bestehend aus einer Stereokamera und einem Mehrzeilen-Laserscanner, werden teils neu entwickelte Verfahren für die gesamte Verarbeitungskette vorgestellt. Zusätzlich wird ein neuartiges Framework zur Fusion heterogener Sensordaten eingeführt, welches über eine Zusammenführung der Fusionsergebnisse aus den unterschiedlichen Verarbeitungsebenen in der Lage ist, die Objektbestimmung zu

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Komarabathuni, Ravi V. "Performance Assessment of a 77 GHz Automotive Radar for Various Obstacle Avoidance Application." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1304083389.

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Mehmood, Muhammad Owais. "Détection de personnes pour des systèmes de videosurveillance multi-caméra intelligents." Thesis, Ecole centrale de Lille, 2015. http://www.theses.fr/2015ECLI0016/document.

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La détection de personnes dans les vidéos est un défi bien connu du domaine de la vision par ordinateur avec un grand nombre d'applications telles que le développement de systèmes de surveillance visuels. Même si les détecteurs monoculaires sont plus simples à mettre en place, ils sont dans l’incapacité de gérer des scènes complexes avec des occultations, une grande densité de personnes ou des scènes avec beaucoup de profondeur de champ menant à une grande variabilité dans la taille des personnes. Dans cette thèse, nous étudions la détection de personnes multi-vues et notamment l'utilisation d

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Khusheef, Ahmed S. "Investigation on the mobile robot navigation in an unknown environment." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/537.

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Mobile robots could be used to search, find, and relocate objects in many types of manufacturing operations and environments. In this scenario, the target objects might reside with equal probability at any location in the environment and, therefore, the robot must navigate and search the whole area autonomously, and be equipped with specific sensors to detect objects. Novel challenges exist in developing a control system, which helps a mobile robot achieve such tasks, including constructing enhanced systems for navigation, and vision-based object recognition. The latter is important for undert

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Lee, Yeongseon. "Bayesian 3D multiple people tracking using multiple indoor cameras and microphones." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29668.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Rusell M. Mersereau; Committee Member: Biing Hwang (Fred) Juang; Committee Member: Christopher E. Heil; Committee Member: Georgia Vachtsevanos; Committee Member: James H. McClellan. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Romanenko, Ilya. "Novel image processing algorithms and methods for improving their robustness and operational performance." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16340.

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Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust image capture in challenging conditions. Increasingly more complicated algorithms are being developed in order to achieve better signal to noise characteristics, more accurate colours, and wider dynamic range, in order to approach the human visual system performance levels.

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Vivet, Damien. "Perception de l'environnement par radar hyperfréquence. Application à la localisation et la cartographie simultanées, à la détection et au suivi d'objets mobiles en milieu extérieur." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00659270.

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Dans le cadre de la robotique mobile extérieure, les notions de perception et de localisation sont essentielles au fonctionnement autonome d'un véhicule. Les objectifs de ce travail de thèse sont multiples et mènent vers un but de localisation et de cartographie simultanée d'un environnement extérieur dynamique avec détection et suivi d'objet mobiles (SLAMMOT) à l'aide d'un unique capteur extéroceptif tournant de type radar dans des conditions de circulation dites "réalistes", c'est-à-dire à haute vitesse soit environ 30 km/h. Il est à noter qu'à de telles vitesses, les données acquises par un

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Asvadi, Alireza. "Multi-Sensor Object Detection for Autonomous Driving." Doctoral thesis, 2018. http://hdl.handle.net/10316/81236.

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Thesis submitted to the Department of Electrical and Computer Engineering of the Faculty of Science and Technology of the University of Coimbra in partial fulfillment of the requirements for the Degree of Doctor of Philosophy<br>Nesta tese é proposto um novo sistema multissensorial de detecção de obstáculos e objetos usando um LIDAR-3D, uma câmara monocular a cores e um sistema de posicionamento baseado em sensores inerciais e GPS, com aplicação a sistemas de condução autónoma. Em primeiro lugar, propõe-se a criação de um sistema de deteção de obstáculos, que incorpora dados 4D (3D espacial

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Aparício, Javier Contreras. "Amorphous silicon e 3D sensors applied to object detection." Doctoral thesis, 2014. http://hdl.handle.net/10362/13340.

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Nowadays, existing 3D scanning cameras and microscopes in the market use digital or discrete sensors, such as CCDs or CMOS for object detection applications. However, these combined systems are not fast enough for some application scenarios since they require large data processing resources and can be cumbersome. Thereby, there is a clear interest in exploring the possibilities and performances of analogue sensors such as arrays of position sensitive detectors with the final goal of integrating them in 3D scanning cameras or microscopes for object detection purposes. The work performed in thi

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Chen, Yung-Shan, and 陳泳杉. "Arduino-based Wireless Sensor System for Object Detection." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/7f4a3q.

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碩士<br>元智大學<br>資訊管理學系<br>104<br>The purpose of this research is to design an Arduino-based device wireless sensor system for object detection. The advantages of Arduino is that it is easy to program and inexpensive. In addition, there are many open-source libraries and tutorials ready to be used and referenced for free. In this case, we can learn faster and develop more programs.

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Lahoud, Jean. "Indoor 3D Scene Understanding Using Depth Sensors." Diss., 2020. http://hdl.handle.net/10754/665033.

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One of the main goals in computer vision is to achieve a human-like understanding of images. Nevertheless, image understanding has been mainly studied in the 2D image frame, so more information is needed to relate them to the 3D world. With the emergence of 3D sensors (e.g. the Microsoft Kinect), which provide depth along with color information, the task of propagating 2D knowledge into 3D becomes more attainable and enables interaction between a machine (e.g. robot) and its environment. This dissertation focuses on three aspects of indoor 3D scene understanding: (1) 2D-driven 3D object detect

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石家銘. "Vision-Based Object Detection with Sensor Network for Event Identification." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/25389467106008343917.

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碩士<br>中華大學<br>資訊工程學系(所)<br>96<br>In general, large amount of cameras are demanded to surveil a large building or area but this may introduces a high data transmission rate and computation cost. The reason why a high data transmission rate is required is that no matter what a event occurs the video bit stream form the cameras are transmitted continuously. In this study, a location-aware system using the sensor network is developed and then cooperated with the vision-based surveillance system to construct a new sensor-based surveillance system. When the location-aware system detects an event, th

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(8088146), Surya Kollazhi Manghat. "Multi Sensor Multi Object Tracking in Autonomous Vehicles." Thesis, 2019.

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<div>Self driving cars becoming more popular nowadays, which transport with it's own intelligence and take appropriate actions at adequate time. Safety is the key factor in driving environment. A simple fail of action can cause many fatalities. Computer Vision has major part in achieving this, it help the autonomous vehicle to perceive the surroundings. Detection is a very popular technique in helping to capture the surrounding for an autonomous car. At the same time tracking also has important role in this by providing dynamic of detected objects. Autonomous cars combine a variety of sensors

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Cheng, Zong-Zhi, and 程忠智. "CODA:A Continuous Object Detection and Tracking Algorithm in Wireless Ad Hoc Sensor Networks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/49609538149749099719.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>95<br>With the advancement of Micro-Electro-Mechanical Systems （MEMS） technologies, wireless sensor networks have been opened new vistas for a wide range of application domains. One of primary applications in wireless sensor network is detecting and tracking continuously moving objects, such as wild fire, bio-chemical material, and so forth. This study addresses this issue by developing a Continuous Object Detection and Tracking Algorithm, designated as CODA, based on a hybrid dynamic/statistic cluster technique. Through the use of CODA mechanism, each sensor n

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Shao-Ting-Cheng and 鄭紹廷. "Detection and Tracking of Moving Objects Using a Moving RGB-D Sensor." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/48547913680211821879.

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碩士<br>淡江大學<br>機械與機電工程學系碩士班<br>102<br>This thesis presents an algorithm of moving object detection and tracking for robot concurrently localization, mapping and moving object tracking in dynamic environment. Kinect can capture RGB color image and image depth (D) to provide the information of three-dimensional coordinates for initializing image features. Research topics in this study include: calibration of Kinect RGB and D sensors; application of Kinect sensors in an unknown environment to implement the tasks of simultaneous localization and mapping; development of on-line object model for movi

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Lai, Chun Chi, and 賴俊吉. "Multi-Sensor Fusion Based Concurrent Environment Mapping and Moving Object Detection for Intelligent Service Robotics." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/80291570277645388692.

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博士<br>國立中正大學<br>電機工程研究所<br>102<br>Intelligent service robot development is an important and critical issue for human community applications. With the diverse and complex service needs, the perception and navigation are essential subjects. This investigation focuses on the synergistic fusion of multiple sensors for an intelligent service robot development. One of the objective of this work is to have an intelligent service robot (ISR) not only can estimate the environment structure autonomously, but also detect the commonly recognized symbols/signs simultaneously such as toilet, fire extinguish

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