CROWD-SOURCED AERIAL VEHICLE DETECTION AND TRACKING SYSTEM USING DISTRIBUTED MOBILE DEVICE SENSORS

A crowdsourcing method to track and report of aerial vehicles is disclosed. Fusing sensed data from a plurality of mobile devices, made interoperable via systemic software installed on each mobile device, the method collectively and collaboratively provides warning, notification and characterization of one or more unmanned aerial vehicles to law enforcement and/or other responder agencies.