Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter

The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF) are widely used in underwater multi-sensor fusion applications for localization and navigation. Since these filters are designed by employing first-order Taylor series approximation in the error covariance m...

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Detalles Bibliográficos
Autores principales: Shaukat, Nabil, Ali, Ahmed, Javed Iqbal, Muhammad, Moinuddin, Muhammad, Otero, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916077/
https://www.ncbi.nlm.nih.gov/pubmed/33562145
http://dx.doi.org/10.3390/s21041149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916077/
https://www.ncbi.nlm.nih.gov/pubmed/33562145
http://dx.doi.org/10.3390/s21041149

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