Dynamic multidimensional sensor data acquisition with adaptive Kalman filtering
Traditional mobile sensing systems often experience a decline in data acquisition accuracy in dynamic environments due to the use of fixed-parameter Kalman filters, which lack adaptability to changes in motion states and sensor noise. To address this limitation, this paper proposes a gait-aware adap...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2025-11-01
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| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W14-2025/369/2025/isprs-archives-XLVIII-4-W14-2025-369-2025.pdf |
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