8 citations · 34 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
Online Learning and Control for Data-Augmented Quadrotor Model
Matej Smid, Jindrich Dunik
The ability to adapt to changing conditions is a key feature of a successful autonomous system. In this work, we use the Recursive Gaussian Processes (RGP) for identification of th…
Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation
J. Matoušek, J. Duník, M. Brandner
This paper deals with state estimation of stochastic models with linear state dynamics, continuous or discrete in time. The emphasis is laid on a numerical solution to the state pr…
Efficient Point Mass Predictor for Continuous and Discrete Models with Linear Dynamics
Jakub Matousek, Jindrich Dunik, Marek Brandner +2
This paper deals with state estimation of stochastic models with linear state dynamics, continuous or discrete in time. The emphasis is laid on a numerical solution to the state pr…