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Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach
Our framework consists in the creation of a new ground truth based on the ground truth density maps and the proposal of two different solutions, a density-map-based and a segmentation-based, to detect the crowds violating the social-distance constrain.
Vibration Analysis in Bearings for Failure Prevention using CNN
Timely failure detection for bearings is of great importance to prevent economic loses in the industry.
On the safety of vulnerable road users by cyclist orientation detection using Deep Learning
In this work, orientation detection using Deep Learning is acknowledged for a particularly vulnerable class of road users, the cyclists.
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