Self-supervised hybrid adaptive Kalman filter learns structured corrections for data-efficient joint tracking and classification.
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification
Self-supervised hybrid adaptive Kalman filter learns structured corrections for data-efficient joint tracking and classification.