Bachelor thesis
Research project in which several YOLO models were trained to classify aerial view images.
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portfolio
publications
Deep learning classification applied to traffic accidents prediction
Published in XLIII JORNADAS AUTOMÁTICA, 2022
In this paper, YOLOv4 neural networks are trained on a dataset, VisDrone, that is firstly validated through a custom-made graphic user interface. Several tests have been undertaken to compare these models to other previously existing models. The trained models are then used to detect and classify in real-time objects in a street to then be used by an algorithm to first track them, then calculate their trajectories and finally predict potential collisions between them.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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