Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 223 for “"Data Fusion"”.
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Multi-Sensor Data Fusion
… such as images, videos, audio signals, sensor data, etc., can be collected by many devices. The idea of multi-sensor data fusion is to combine the data coming from different sensors to provide more accurate information than that a single sensor alone. Sensors have been proposed to emulate the …
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High level data fusion
… address the question of how to obtain effective fusion of identification information such that it is robust to the quality of this information. As well as technical issues data fusion is encumbered with a collection of (potentially confusing) practical considerations. These considerations are …
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Multisensor data fusion for robotic control
… ultrasound sensors are external. Multisensor data fusion seeks to combine data from multiple sensors to perform inferences that may not be possible from a single sensor. Different sensors have different strengths and weaknesses, so fused data from multiple sensors provides several advantages …
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Aerial reconstructions via probabilistic data fusion
… proposed probabilistic model can be viewed as a data fusion model, in which the two data sources complement each other and allow for better results than when only a single one is present. Moreover, this modeling approach has the advantages that it can capture uncertainty in reconstructions, and …
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Analysis of Multiresolution Data fusion Techniques
… digital remote sensing. This practice, known as data fusion, is designed to enhance the spatial resolution of multispectral images by merging a relatively coarse-resolution image with a higher resolution panchromatic image of the same geographic area. This study examines properties of fused …
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Intelligent Data Fusion for Applied Decision Support
<p>Data fusion technologies are widely applied to support a real-time decision-making in complicated, dynamically changing environments. Due to the complexity in the problem domain, artificial intelligent algorithms, such as Bayesian inference and particle swarm optimization, are employed to make …
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Studies on Data Fusion of Nondestructive Testing
本文氏名 : 刘(劉) 征
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Multi-sensor Data Fusion for Robotics Applications
… is making robots increasingly more autonomous. Data from different sensors can be fused and processed in real time by on-board processing units in order to make the robot perform either more or less complicated tasks. Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAV) equipped …
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Advances in Hierarchical Probabilistic Multimodal Data Fusion
Multimodal data fusion is the process of integrating disparate data sources into a shared representation suitable for complex reasoning. As a result, one can make more precise inferences about the underlying phenomenon than is possible with each data source used in isolation. In the thesis we adopt …
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Spatio-temporal data fusion in cerebral angiography
… one or more time sequence of 2D projections. The fusion process utilizes a variational approach that constrains the volumes to have both smoothly varying regions separated by edges and sparse regions of non-zero support. Results are presented on both clinical and simulated phantom data sets. The …
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Data fusion of images and 3D range data
… development are the multi-sensor approach and data-fusion. The thesis starts with the analysis of the state of the art related of the field of the automated logistic, focusing mostly on the most innovative applications and researches on the automatization of the load/unload of the goods in the …
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APPLICATION OF DATA FUSION TO FLUID DYNAMIC DATA
… in the methods of obtaining fluid dynamic data, which has led to the generation of vast amounts of data. Extracting the useful information from large data sets can be a challenging task when investigating data from a single source. However, most experiments use data from multiple sources, …
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Assessing Satellite Image Data Fusion with Information Theory Metrics
… provide this common pattern of satellite image data fusion. They are all tested on artificially degraded sets of satellite data from the Moderate Resolution Imaging Spectroradiometer (“MODIS”) with known ideal results, and evaluated using the commonly accepted data fusion assessment metrics …
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Multimodal Data Fusion for Estimating Electricity Access and Demand
… machine learning systems for probabilistic data fusion to the problem of forecasting annual electricity demand at the countrylevel for all African countries. We provide a novel set of probabilistic forecasts for the continent while addressing missing data issues and employing a rigorous …
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DATA FUSION ARCHITECTURES FOR UNDERSEA WARFARE WITH AUTONOMOUS UNDERWATER VEHICLES
… project presents a baseline architecture for a data fusion system that facilitates the near real-time exchange of information from disparate sources. This architecture, in turn, provides a basis for further system development, and guides future studies of relevant data/information fusion …
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Speaker Identification Based On Discriminative Vector Quantization And Data Fusion
… on discriminative Vector Quantization (VQ) and data fusion techniques are presented in this dissertation. The SI approaches based on Discriminative VQ (DVQ) proposed in this dissertation are the DVQ for SI (DVQSI), the DVQSI with Unique speech feature vector space segmentation for each speaker …
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