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...

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Detalles Bibliográficos
Autores principales: Sung, Kwangjae, Lee, Dong Kyu ‘Roy’, Kim, Hwangnam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021914/
https://www.ncbi.nlm.nih.gov/pubmed/29861460
http://dx.doi.org/10.3390/s18061722

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