A radiosity-based method to avoid calibration for Indoor Positioning Systems
Visualitza/
Impacte
Scholar |
Altres documents de l'autoria: Belmonte-Fernández, Óscar; Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Sansano-Sansano, Emilio; Chia-Aguilar, Daniel
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadades
Títol
A radiosity-based method to avoid calibration for Indoor Positioning SystemsAutoria
Data de publicació
2018-09-01Editor
ElsevierCita bibliogràfica
BELMONTE FERNÁNDEZ, Óscar; MONTOLIU COLÁS, Raúl; TORRES-SOSPEDRA, Joaquín; SANSANO-SANSANO, Emilio; CHIA-AGUILAR, Daniel (2018). A radiosity-based method to avoid calibration for indoor positioning systems. Expert Systems with Applications, v. 105, p. 89-101Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.sciencedirect.com/science/article/pii/S0957417418302112Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Due to the widespread use of mobile devices, services based on the users current indoor location are growing in significance. Such services are developed in the Machine Learning and Experst Systems realm, and ranges ... [+]
Due to the widespread use of mobile devices, services based on the users current indoor location are growing in significance. Such services are developed in the Machine Learning and Experst Systems realm, and ranges from guidance for blind people to mobile tourism and indoor shopping. One of the most used techniques for indoor positioning is WiFi fingerprinting, being its use of widespread WiFi signals one of the main reasons for its popularity, mostly on high populated urban areas. Most issues of this approach rely on the data acquisition phase; to manually sample WiFi RSSI signals in order to create a WiFi radio map is a high time consuming task, also subject to re-calibrations, because any change in the environment might affect the signal propagation, and therefore degrade the performance of the positioning system. The work presented in this paper aims at substituting the manual data acquisition phase by directly calculating the WiFi radio map by means of a radiosity signal propagation model. The time needed to acquire the WiFi radio map by means of the radiosity model dramatically reduces from hours to minutes when compared with manual acquisition. The proposed method is able to produce competitive results, in terms of accuracy, when compared with manual sampling, which can help domain experts develop services based on location faster. [-]
Publicat a
Expert Systems with Applications (2018), v. 105Proyecto de investigación
1) Spanish Ministry of Economy and Competitiveness through the “Proyectos I + D Excelencia” programme 620 (TIN2015-70202-P) and 2) Jaume I University “Research promotion plan 2017” programme (UJI-B2017-45).Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Apareix a les col.leccions
- INIT_Articles [743]