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cs.LG2026
Pose Tracking with a Foundation Pose Model and an Ensemble Directional Kalman Filter
Tianlu Lu, Asif Sijan, Thomas Noh +2
This paper introduces the ensemble directional Kalman filter (EnDKF), an ensemble-based Kalman filtering approach for pose tracking that jointly estimates an object's position and…
cs.LG2026
Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach
Zain Jabbar, Andrey A. Popov
The ensemble Gaussian mixture filter (EnGMF) is a powerful, convergent particle filter capable of medium-to-high dimensional non-linear filtering. The EnGMF relies on a resampling…
cs.LG2024
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Felipe Giraldo-Grueso, Andrey A. Popov, Renato Zanetti
Spacecraft entering Mars require precise navigation algorithms capable of accurately estimating the vehicle's position and velocity in dynamic and uncertain atmospheric environment…