Cargando…
A Self-Adaptive Model-Based Wi-Fi Indoor Localization Method
This paper presents a novel method for indoor localization, developed with the main aim of making it useful for real-world deployments. Many indoor localization methods exist, yet they have several disadvantages in real-world deployments—some are static, which is not suitable for long-term usage; so...
Autores principales: | Tuta, Jure, Juric, Matjaz B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191055/ https://www.ncbi.nlm.nih.gov/pubmed/27929453 http://dx.doi.org/10.3390/s16122074 |
Ejemplares similares
-
MFAM: Multiple Frequency Adaptive Model-Based Indoor Localization Method
por: Tuta, Jure, et al.
Publicado: (2018) -
Neural-Network-Based Localization Method for Wi-Fi Fingerprint Indoor Localization
por: Zhu, Hui, et al.
Publicado: (2023) -
Knowledge Preserving OSELM Model for Wi-Fi-Based Indoor Localization
por: AL-Khaleefa, Ahmed Salih, et al.
Publicado: (2019) -
Wi-Fi/MARG Integration for Indoor Pedestrian Localization
por: Tian, Zengshan, et al.
Publicado: (2016) -
A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting
por: Belmonte-Fernández, Óscar, et al.
Publicado: (2021)