KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters
IntroductionTracking the hidden states of dynamic systems is a fundamental task in signal processing. Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering low computational complexity. However, real-world applications often involve non-...
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Frontiers Media S.A.
2025-01-01
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| coleção: | Frontiers in Neurorobotics |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fnbot.2024.1460255/full |