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A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration

Wei, Xiaofeng, Fan, Shiwei, Zhang, Ya, Gao, Wei, Shen, Feng, Ming, Xie, Yang, Jian·2025·Measurement
DOI 10.1016/j.measurement.2024.116097
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Cited by 43

Research works printed but not linked: 40

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  17. Nazarahari, 2021, Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: An experimental comparison survey, Information Fusion, 76, 8, 10.1016/j.inffus.2021.04.009 · DOI
  18. Nazarahari, 2021, 40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges, Information Fusion, 68, 67, 10.1016/j.inffus.2020.10.018 · DOI
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Metadata

Authors
Wei, X., Fan, S., Zhang, Y., Gao, W., Shen, F., Ming, X., & Yang, J.
Venue
Measurement
Publisher
Elsevier BV
Published
2025-01
Volume
242
Pages
116097
ISSN
0263-2241
DOI
10.1016/j.measurement.2024.116097
Cited by
43
Language
en
Licence
Funders
National Natural Science Foundation of China (52071121)

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CoChat. (2026). Citation check: A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration. https://app.cochat.ai/papers/10.1016/j.measurement.2024.116097
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Wei, X., Fan, S., Zhang, Y., Gao, W., Shen, F., Ming, X., & Yang, J. (2025). A robust adaptive error state Kalman filter for MEMS IMU attitude estimation under dynamic acceleration. Measurement. https://doi.org/10.1016/j.measurement.2024.116097

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