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1 Ergebnisse
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Exploring the Potential of the Deep-Learning-Aided Kalman F..:
Li, Shuo
;
Mikhaylov, Maxim
;
Pany, Thomas
.
IEEE Transactions on Aerospace and Electronic Systems. 60 (2024) 3 - p. 2683-2691 , 2024
Link:
https://doi.org/10.1109/taes.2023.3325791
RT Journal T1 <Title>Exploring the Potential of the Deep-Learning-Aided Kalman Filter for GNSS/INS Integration: A Study on 2-D Simulation Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_taes.2023.3325791&Exemplar=1&LAN=DE A1 Li, Shuo A1 Mikhaylov, Maxim A1 Pany, Thomas A1 Mikhaylov, Nikolay PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 0018-9251 SN 1557-9603 SN 2371-9877 JF IEEE Transactions on Aerospace and Electronic Systems VO 60 IS 3 SP 2683 OP 2691 LK http://dx.doi.org/https://doi.org/10.1109/taes.2023.3325791 DO https://doi.org/10.1109/taes.2023.3325791 SF ELIB - SuUB Bremen
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