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A deep learning framework for robust attitude estimation in dynamic environments from six-axis raw inertial measurements

Ding, Wei, Hu, Yansen, Sun, Wei, Yue, Zhe·2026·Measurement
DOI 10.1016/j.measurement.2026.122485
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Research works printed but not linked: 43

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Metadata

Authors
Ding, W., Hu, Y., Sun, W., & Yue, Z.
Venue
Measurement
Publisher
Elsevier BV
Published
2026-10
Volume
287
Pages
122485
ISSN
0263-2241
DOI
10.1016/j.measurement.2026.122485
Cited by
0
Language
en
Licence
Funders
  • International Science and Technology Cooperation Programme (2024JH2/101900009, 2025JH2/101900029)
  • Natural Science Foundation of Liaoning Province (2025-BS-0407)
  • Department of Education of Liaoning Province (LJ222510147003, LJ212410147050)

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CoChat. (2026). Citation check: A deep learning framework for robust attitude estimation in dynamic environments from six-axis raw inertial measurements. https://app.cochat.ai/papers/10.1016/j.measurement.2026.122485
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Ding, W., Hu, Y., Sun, W., & Yue, Z. (2026). A deep learning framework for robust attitude estimation in dynamic environments from six-axis raw inertial measurements. Measurement. https://doi.org/10.1016/j.measurement.2026.122485

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