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 134 for “"multi-sensor"”.
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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 …
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Multi-sensor navigation system design.
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Thesis. 1970. Sc.D.
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Integrated optical fluorescence multi-sensor system
… integrated optical immunoassay multisensing systems has gained growing interest in the last ten years. This is because the systems have the potential to simultaneously detect multiple analytes in a single measurement, and the techniques involved are fast, robust and …
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A Multi-Sensor Passive Occupant Localization
… vibro-localization approaches, including sensor imperfections, measurement uncertainty, and complex wave dynamics. To this end, we develop comprehensive models that characterize both random and systematic errors introduced by accelerometers, integrating these models into the localization …
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Multi-sensor Data Fusion for Robotics Applications
… as well as increasingly miniaturized and precise sensors, Robotics is experiencing a period of significant development. New technology 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 …
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Multi-sensor guidance of an agricultural robot
The student, Hao Gan, submitted this Thesis for approval on 2015-04-21 at 14:54.
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Efficient Multi-Sensor Fusion for 3D Perception
… as speed and cost. In this thesis, I develop two multisensor fusion models for 3D Perception: BEVFusion, a camera-LiDAR fusion model, and BEVFusion-R, a camera-radar fusion model. BEVFusion seeks to balance accuracy and speed. By fusing features from each input modality in the shared bird’s eye …
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Radar multi-sensor (RAMS) quantitative precipitation estimation (QPE)
… dual polarization QPE process known as the RAdar Multi-Sensor QPE (RAMS QPE). This scheme applies the dual polarization radar rain rate estimation algorithms developed at Colorado State University into an adaptable QPE system. The methodologies used to combine individual radar scans, and then …
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Automatic Alignment of 3D Multi-Sensor Point Clouds
… clouds, which have been acquired from different sensor platforms and are in different 3D conformal coordinate systems. The first proposed approach is based on 3D keypoint feature matching. First, surface curvature information is utilized for scale-invariant 3D keypoint extraction. Adaptive …
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Multi-sensor activity recognition of an elderly person.
… both practical and technical aspects using multiple wrist-worn sensors. An extensive literature review in wearable sensor based activity recog- nition and its applications in healthcare have been carried out. Novel multi-sensor activity recognition utilising multiple low-cost, non-intrusive, …
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Mapping individual trees from airborne multi-sensor imagery
Airborne multi-sensor imaging is increasingly used to examine vegetation properties. The advantage of using multiple types of sensor is that each detects a different feature of the vegetation, so that collectively they provide a detailed understanding of the ecological pattern. Specifically, Light …
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Multi-sensor rainfall data assimilation using ensemble approaches
… of rainfall replicates, each conditioned on multiple measurement sources. The conditional replicates are obtained from ensemble data assimilation algorithms (Kalman filters and smoothers) based on a recursive cluster rainfall model. Satellite measurements of cloud-top temperatures are used to …
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A New Approach to Multi-Sensor Navigation System Design
Made available in DSpace on 2014-12-13T18:02:11Z (GMT). No. of bitstreams: 1 8004147.pdf: 3896084 bytes, checksum: 58327028a213e303d11961b67fb1a838 (MD5) Previous issue date: 1979
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A wireless, low power, asynchronous, multi-sensor, temperature network
… transmitter that reads the temperature from a sensor and then sends the data through an RF connection to a receiver, which then converts the information to human readable form. The transmitter can. perform a conversion about every minute and then go to sleep, allowing the battery to last for …
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Sparsity based methods for target localization in multi-sensor radar
… ground moving target indicator (GMTI) radar with multiple-input multiple-output (MIMO) random arrays are proposed. MIMO random arrays are large arrays that employ multiple transmitters and receivers, the positions of the transmitters and the receivers are randomly chosen. Since the resolution of …
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Agulhas current variability determined from space : a multi-sensor approach
Satellite remote sensing datasets including more than 6 years of high frequency Sea Surface Temperature (SST) imagery as well as surface current observations derived from 18 years of merged-altimetry and over 2 years of Advanced Synthetic Aperture Radar (ASAR) observations are combined to study the …
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Multi-sensor large scale land surface data assimilation using ensemble approaches
One of the ensemble Kalman filter's (EnKF) attractive features in land surface applications is its ability to provide distributional information. The EnKF relies on normality approximations that improve its efficiency but can also compromise the accuracy of its distributional estimates. The effects …
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