Real-time cloud computing of GNSS measurements from smartphones and mobile devices for enhanced positioning and navigation

Handle

https://riunet.upv.es/handle/10251/214769

Cita bibliográfica

Hernández-Olcina, J.; Anquela Julián, AB.; Martín Furones, ÁE. (2024). Real-time cloud computing of GNSS measurements from smartphones and mobile devices for enhanced positioning and navigation. GPS Solutions. 28(4). https://doi.org/10.1007/s10291-024-01705-8

Titulación

Resumen

[EN] In recent years, Global Navigation Satellite Systems (GNSSs) have become integral to our daily lives because of their precise positioning and navigation capabilities. Widespread use of smartphones equipped with GNSS receivers results in the genera- tion of a huge amount of positioning data. Therefore, real-time cloud computing has emerged as a promising approach to effectively leverage this wealth of location information. In this study, we developed an Android app that captures raw GNSS data from smartphones, leverages cloud computing resources, calculates the position of the device, and returns the computed solution to the user. Integration of cloud-based processing not only conserves the device resources but also enables real-time position calculation, paving the way for enhanced location-based applications and services.

Fuente

GPS Solutions issn: 1080-5370

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