Cargando…
Pedestrian Positioning Using an Enhanced Ensemble Transform Kalman Filter
Due to the unavailability of GPS indoors, various indoor pedestrian positioning approaches have been designed to estimate the position of the user leveraging sensory data measured from inertial measurement units (IMUs) and wireless signal receivers, such as pedestrian dead reckoning (PDR) and receiv...
Autor principal: | Sung, Kwangjae |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422569/ https://www.ncbi.nlm.nih.gov/pubmed/37571653 http://dx.doi.org/10.3390/s23156870 |
Ejemplares similares
-
Indoor Pedestrian Localization Using iBeacon and Improved Kalman Filter
por: Sung, Kwangjae, et al.
Publicado: (2018) -
Pedestrian Positioning Using a Double-Stacked Particle Filter in Indoor Wireless Networks
por: Sung, Kwangjae, et al.
Publicado: (2019) -
An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model
por: Fan, Qigao, et al.
Publicado: (2018) -
Data assimilation: the ensemble Kalman filter
por: Evensen, Geir
Publicado: (2007) -
Dual MIMU Pedestrian Navigation by Inequality Constraint Kalman Filtering
por: Shi, Wei, et al.
Publicado: (2017)