The Bayesian Neural Kalman Filter uses a trained BNN to predict UAV states and uncertainties, then applies a Kalman update to outperform standard EKF and UKF on synthetic data under high noise and low sampling rates.
VECTOR: Velocity-Enhanced GRU Neural Net- work for Real-Time 3D UA V Trajectory Prediction
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Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments
The Bayesian Neural Kalman Filter uses a trained BNN to predict UAV states and uncertainties, then applies a Kalman update to outperform standard EKF and UKF on synthetic data under high noise and low sampling rates.