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Exploitation of Neural Networks for Fusion of Image and Non-Image Data
 Pařilová, Michaela ; Reich, Bořek (referee) ; Zemčík, Pavel (advisor)
This bachelor's thesis deals with exploitation of neural networks for fusion of image and non-image data. It primarily focuses on comparing detection algorithms for image data (data obtained from a camera) with detection algorithms using the fusion of image data and non-image data (data obtained from a camera and radar). As part of the comparison of these two approaches, an own fusion model was created, which was subsequently tested on the selected data set.
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