MUSIT

Multisensor inferred trajectories Project

MUSIT is an international and interdisciplinary project that transforms heterogeneous tracking sensor data into complete, semantically enriched trajectories, opening new perspectives in mobility monitoring and establishing a dynamic network of collaborations among academia, industry, and innovators.

Data Integration and Fusion

MUSIT transforms heterogeneous data streams from numerous sensors into complete, semantically enriched trajectories, overcoming gaps and imperfections in the original data.

Technological Innovation and Advanced Analysis

We leverage cutting-edge artificial intelligence algorithms and spatio-temporal methodologies to extract strategic insights, setting new standards in mobility monitoring.

Collaboration and a Dynamic Network

The project fosters international and interdisciplinary synergies, creating an ecosystem that unites academia, industry, and innovators to share knowledge and drive innovation.