The MUSIT (MUltiSensor Inferred Trajectories) Project aims to enhance trajectory data analysis by integrating and refining data from multiple tracking sensors, including vessel, vehicle, and Earth observation systems. Using advanced AI algorithms and spatio-temporal methodologies, it reconstructs incomplete or erroneous trajectories, adding contextual insights for improved monitoring and decision-making. The project focuses on data collection, cross-domain representation models, and advanced processing to improve accuracy and applicability in areas like vessel tracking and urban mobility. Funded by the EU’s Horizon-MSCA program, MUSIT fosters international collaboration and knowledge exchange to maximize research impact.
Find out more here: https://musit-project.eu/
