Cargando…
Deep Learning-Based Indoor Localization Using Multi-View BLE Signal
In this paper, we present a novel Deep Neural Network-based indoor localization method that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the received signals’ characteristics at multiple Anchor Points (APs). We use the received signal strength indicator (RSSI) va...
Autores principales: | Koutris, Aristotelis, Siozos, Theodoros, Kopsinis, Yannis, Pikrakis, Aggelos, Merk, Timon, Mahlig, Matthias, Papaharalabos, Stylianos, Karlsson, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003244/ https://www.ncbi.nlm.nih.gov/pubmed/35408373 http://dx.doi.org/10.3390/s22072759 |
Ejemplares similares
-
An Improved BLE Indoor Localization with Kalman-Based Fusion: An Experimental Study
por: Röbesaat, Jenny, et al.
Publicado: (2017) -
On Indoor Localization Using WiFi, BLE, UWB, and IMU Technologies
por: Leitch, Samuel G., et al.
Publicado: (2023) -
BLE Fingerprint Indoor Localization Algorithm Based on Eight-Neighborhood Template Matching
por: Li, Mingfeng, et al.
Publicado: (2019) -
Optimized CNNs to Indoor Localization through BLE Sensors Using Improved PSO
por: Sun, Danshi, et al.
Publicado: (2021) -
A Practice of BLE RSSI Measurement for Indoor Positioning
por: Ramirez, Ramiro, et al.
Publicado: (2021)