4 papers · 1 filter
Physics-based modeling and data representation of pedestrian pairwise interactions
Alessandro Corbetta, Jasper Meeusen, Chung-min Lee +2
The possibility to understand and to quantitatively model the physics of the interactions between pedestrians walking in crowds has compelling relevant applications, e.g. related t…
A large-scale real-life crowd steering experiment via arrow-like stimuli
Alessandro Corbetta, Werner Kroneman, Maurice Donners +9
We introduce "Moving Light": an unprecedented real-life crowd steering experiment that involved about 140.000 participants among the visitors of the Glow 2017 Light Festival (Eindh…
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG
Werner Kroneman, Alessandro Corbetta, Federico Toschi
We tackle the challenge of reliably and automatically localizing pedestrians in real-life conditions through overhead depth imaging at unprecedented high-density conditions. Levera…
Path-integral representation of diluted pedestrian dynamics
Alessandro Corbetta, Federico Toschi
We frame the issue of pedestrian dynamics modeling in terms of path-integrals, a formalism originally introduced in quantum mechanics to account for the behavior of quantum particl…