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Project

Optimizing RF-based crowd estimation through the use of sensor- and data fusion.

General goal Optimizing the AI training, network installation and forecasting aspects of an RF-based counting system for crowds using both external data and data from the same RF-based counting system.
Date:1 Jan 2022 →  Today
Keywords:CROWD DENSITY MONITORING, MACHINE LEARNING, LOCALISATION, ARTIFICIAL INTELLIGENCE (AI)
Disciplines:Machine learning and decision making, Antennas and propagation, Signal processing, Modelling and simulation
Project type:Collaboration project