PA-PINPF adds Deep Sets population encoders (state or feature) to PINPF for better Bayesian posterior particle transport on range-measurement and TDOA tasks.
Ensemble Gaussian Mixture Filtering with Particle-localized Covariances,
2 Pith papers cite this work. Polarity classification is still indexing.
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Hybrid PGM filtering method for short- and long-term cislunar target tracking with angles-only data and prior information fusion.
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Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update
PA-PINPF adds Deep Sets population encoders (state or feature) to PINPF for better Bayesian posterior particle transport on range-measurement and TDOA tasks.
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Hybrid Particle Gaussian Mixture (H-PGM) Solution for Cislunar Target Tracking
Hybrid PGM filtering method for short- and long-term cislunar target tracking with angles-only data and prior information fusion.