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Showing 1 to 10 of 10 for “"multisensor data fusion"”.
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Multisensor data fusion for robotic control
… sensors, while 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 …
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Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale
… WSNs. In order to handle the large amount of data generated by a WSN several multi sensor data fusion techniques have been developed. The aim of multisensor data fusion is to combine data to achieve better accuracy and inferences than could be achieved by the use of a single sensor alone. In …
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Data fusion of complementary information from parietal and occipital event related potentials for early diagnosis of Alzheimer's disease
… source for the analysis. In this contribution, data from the event related potentials of 19 available electrodes of the EEG are analyzed. These signals are decomposed into different frequency bands using multiresolution wavelet analysis. Two data fusion approaches are then investigated: i.) …
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Compressive cooperative obstacle mapping with see-through capabilities in mobile networks
… that can not be mapped with laser scanner data alone or a small number of wireless measurements. Most importantly, we show how to design an experimental robotic platform in order to implement our approach. We then show the performance of our framework in efficiently mapping a number of real …
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Multisensor Microwave Remote Sensing in the Cryosphere
… focused on extracting key surface features from multisensor microwave data sets. First, several enhanced resolution image reconstruction issues are addressed. Among these are the optimization of the scatterometer image reconstruction (SIR) algorithm for NASA scatterometer (NSCAT) data, an …