This technology reduces positioning errors caused by airframe vibration and abrupt maneuvers by identifying abnormal acceleration segments that exceed a specific threshold during drone flight, setting them as a dead-band, and excluding that time data from position calculations.
Drones experience frequent movements and airframe vibrations for attitude control during flight, which introduces irregular noise into Inertial Measurement Unit (IMU) data, leading to cumulative errors in velocity and position estimates.
This technology establishes a threshold by measuring vibrations before takeoff and ensures the reliability of the positioning algorithm by filtering out data points where acceleration measurements exceed this threshold during flight.
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