On the application of graph neural networks for indoor positioning systems.

Due to the inability of GPS (or other GNSS methods) to provide satisfactory precision for the indoor location scenario, indoor positioning systems resort to other signals already available on site, typically Wi-Fi given its ubiquity. However, instead of relying on an error-prone propagation model as...

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Bibliographic Details

Main Author:	Lezama, Facundo (author)
Other Authors:	Larroca, Federico (author), Capdehourat, Germán (author)
Format:	bookPart
Language:	English
Published:	2023
Subjects:	Graph classification Graph signal interpolation Localization
Online Access:	https://hdl.handle.net/20.500.12008/37987
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