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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...
Uloženo v:
| Vydáno v: | Sensors (Basel) |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021914/ https://ncbi.nlm.nih.gov/pubmed/29861460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18061722 |
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