Cargando…
Hybrid Wireless Fingerprint Indoor Localization Method Based on a Convolutional Neural Network
In the indoor location field, the quality of received-signal-strength-indicator (RSSI) fingerprints plays a key role in the performance of indoor location services. However, changes in an indoor environment may lead to the decline of location accuracy. This paper presents a localization method emplo...
Autores principales: | Liu, Zhenyu, Dai, Bin, Wan, Xiang, Li, Xueyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832738/ https://www.ncbi.nlm.nih.gov/pubmed/31652626 http://dx.doi.org/10.3390/s19204597 |
Ejemplares similares
-
Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression
por: Zhang, Guolong, et al.
Publicado: (2019) -
Neural-Network-Based Localization Method for Wi-Fi Fingerprint Indoor Localization
por: Zhu, Hui, et al.
Publicado: (2023) -
Smartphone-Based Activity Recognition for Indoor Localization Using a Convolutional Neural Network †
por: Zhou, Baoding, et al.
Publicado: (2019) -
A Wavelet Scattering Feature Extraction Approach for Deep Neural Network Based Indoor Fingerprinting Localization †
por: Soro, Bedionita, et al.
Publicado: (2019) -
Fingerprint Feature Extraction for Indoor Localization †
por: Jiang, Jehn-Ruey, et al.
Publicado: (2021)