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Indoor Pedestrian Localization Using iBeacon and Improved Kalman Filter
The reliable and accurate indoor pedestrian positioning is one of the biggest challenges for location-based systems and applications. Most pedestrian positioning systems have drift error and large bias due to low-cost inertial sensors and random motions of human being, as well as unpredictable and t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021914/ https://www.ncbi.nlm.nih.gov/pubmed/29861460 http://dx.doi.org/10.3390/s18061722 |