4 papers · 1 filter
High-statistics modeling of complex pedestrian avoidance scenarios
Alessandro Corbetta, Lars Schilders, Federico Toschi
Quantitatively modeling the trajectories and behavior of pedestrians walking in crowds is an outstanding fundamental challenge deeply connected with the physics of flowing active m…
Measurement and analysis of visitors' trajectories in crowded museums
Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani +1
We tackle the issue of measuring and analyzing the visitors' dynamics in crowded museums. We propose an IoT-based system -- supported by artificial intelligence models -- to recons…
Deep learning velocity signals allows to quantify turbulence intensity
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi +1
Turbulence, the ubiquitous and chaotic state of fluid motions, is characterized by strong and statistically non-trivial fluctuations of the velocity field, over a wide range of len…
StampNet: unsupervised multi-class object discovery
Joost Visser, Alessandro Corbetta, Vlado Menkovski +1
Unsupervised object discovery in images involves uncovering recurring patterns that define objects and discriminates them against the background. This is more challenging than imag…