Relative Navigation Algorithm Model for UAV Formation Flight
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In modern aviation, UAV technology is developing at a rapid pace. The application of UAV formation flight technology is becoming increasingly widespread. Under these circumstances, developing effective relative navigation algorithm models for UAV formation flight has become a key research focus. By implementing efficient and reliable relative navigation algorithms - typically involving Kalman filters, sensor fusion techniques, and coordinate transformation functions - UAV formations can accurately compute relative positions and velocities. This enables precise formation flying and more efficient aerial operations through algorithms that process GPS data, inertial measurements, and inter-drone communication signals to maintain optimal spatial relationships between vehicles.
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