Cargando…
A Robust and Accurate Indoor Localization Using Learning-Based Fusion of Wi-Fi RTT and RSSI
Great attention has been paid to indoor localization due to its wide range of associated applications and services. Fingerprinting and time-based localization techniques are among the most popular approaches in the field due to their promising performance. However, fingerprinting techniques usually...
Autores principales: | Rizk, Hamada, Elmogy, Ahmed, Yamaguchi, Hirozumi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002808/ https://www.ncbi.nlm.nih.gov/pubmed/35408314 http://dx.doi.org/10.3390/s22072700 |
Ejemplares similares
-
A Crowd-Sourcing Indoor Localization Algorithm via Optical Camera on a Smartphone Assisted by Wi-Fi Fingerprint RSSI
por: Chen, Wei, et al.
Publicado: (2016) -
Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios
por: Bullmann, Markus, et al.
Publicado: (2020) -
HPIPS: A High-Precision Indoor Pedestrian Positioning System Fusing WiFi-RTT, MEMS, and Map Information
por: Huang, Lu, et al.
Publicado: (2020) -
Testing and Evaluation of Wi-Fi RTT Ranging Technology for Personal Mobility Applications
por: Orfanos, Manos, et al.
Publicado: (2023) -
Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi †
por: Kia, Ghazaleh, et al.
Publicado: (2022)