Cargando…
Unsupervised Indoor Localization Based on Smartphone Sensors, iBeacon and Wi-Fi
In this paper, we propose UILoc, an unsupervised indoor localization scheme that uses a combination of smartphone sensors, iBeacons and Wi-Fi fingerprints for reliable and accurate indoor localization with zero labor cost. Firstly, compared with the fingerprint-based method, the UILoc system can bui...
Autores principales: | Chen, Jing, Zhang, Yi, Xue, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981662/ https://www.ncbi.nlm.nih.gov/pubmed/29710808 http://dx.doi.org/10.3390/s18051378 |
Ejemplares similares
-
Indoor Pedestrian Localization Using iBeacon and Improved Kalman Filter
por: Sung, Kwangjae, et al.
Publicado: (2018) -
Probability-Based Indoor Positioning Algorithm Using iBeacons
por: Wu, Tianli, et al.
Publicado: (2019) -
Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and Defenses
por: Huang, Chi-Jan, et al.
Publicado: (2023) -
Learning iBeacon
:
build proximity applications for iOS using Apple's groundbreaking iBeacon technology
por: Gilchrist, Craig
Publicado: (2014) -
Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization
por: Kanaris, Loizos, et al.
Publicado: (2017)