Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter

Yehonatan Dahan, Guy Revach, Jindrich Dunik +1

Recent years have witnessed a growing interest in tracking algorithms that augment Kalman Filters (KFs) with Deep Neural Networks (DNNs). By transforming KFs into trainable deep le…