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Título
Automatic wireless mapping and tracking system for indoor location
Autor(es)
Palabras clave
Neural networks
Indoor location system
Mapping and tracking
Clasificación UNESCO
1203 Ciencia de los ordenadores
Fecha de publicación
2019
Editor
Elsevier
Citación
André Sales Mendes, Gabriel Villarrubia, Javier Caridad, Daniel H. De La Iglesia, Juan F. De Paz, Automatic wireless mapping and tracking system for indoor location, Neurocomputing, Volume 338, 2019, Pages 372-380, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2018.07.084. (https://www.sciencedirect.com/science/article/pii/S0925231219300074)
Resumen
[EN]Automatic vehicle tracking systems ease the completion of numerous tasks in different fields. Moreover they can automatically capture information, this feature allows to perform location tasks. These systems can be implemented at airports, in shopping centers and in other large buildings; in this way, wireless network scans will serve as a basis for the creation of signal maps that can be used in indoor location systems. This work proposes an automatic people tracking system which also allows to map Wi-Fi networks in order to localize people indoor. In order to operate the system, information on vehicle movement was used to capture signal maps, with the aim of reducing the need to perform manual calibration and thus, improving the updating of information. The final location is determined by combining information provided by wireless networks, Bayesian networks are employed for this task.
URI
ISSN
0925-2312
DOI
10.1016/j.neucom.2018.07.084
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