Physically Interpretable Spectral Features for Urban Mobility Classification Using Distributed Acoustic Sensing
A novel processing and classification framework for the automatic detection and classification of pedestrians, bicycles, and cars in urban environments is proposed and experimentally demonstrated. The proposed processing pipeline combines high-sensitivity distributed acoustic sensing, automatic trajectory extraction, p...