Tracking drones with the 5G tower down the street

BSense is a three-stage drone-detection system that repurposes 5G-Advanced base station ISAC point-cloud outputs to detect and track small UAVs in urban environments. Using local statistical noise modeling, motion-based consistency checks, and a Transformer-based trajectory classifier, the system achieved >96% precision and ~4.9 m mean localization error up to 1,000 m across extensive field tests, while noting gaps from signal occlusion, degraded accuracy at long range, and lack of evaluation against evasion tactics; the report highlights operational benefits for airspace security and raises governance/privacy questions about large-scale passive sensing.