APPLICATION OF THE KALMAN FILTER FOR UAV TRAJECTORY PREDICTION BASED ON NEURAL NETWORK IMAGE ANALYSIS

Parfentiev K. V., Mashkov I. I., Brel D. O.

The article examines the application of an extended Kalman filter for integrating data from neural network image analysis, an inertial measurement unit, and a global satellite navigation system to predict the trajectory of an unmanned aerial vehicle. The proposed approach ensures high accuracy in position determination even when one of the sources is disconnected, thereby enhancing the reliability of the control system.

Keywords:extended Kalman filter, neural network image analysis, data integration, inertial measurement systems, global satellite navigation system, trajectory prediction, unmanned aerial vehicle, control algorithms, system reliability.