Abstract

Abstract: Since the introduction of the Android 7 in August 2016, it has become possible to use raw data collected by GNSS sensors present in some Android smartphones and tablets. Therefore, it became possible, for the first time, to perform the post-processing of the data, which means to obtain coordinates that are more accurate than usual, from meters to decimeters. In addition, among the technological innovations in the context of positioning via smartphones, it is mentioned the use of modern GNSS sensors, like the one used by Xiaomi Mi 8, which was the first smartphone to integrate a dual-frequency GNSS sensor. In this research, data collection campaigns were carried out in static mode to evaluate the quality of geodetic coordinates obtained from Mi 8. Using freely available applications that store raw data in files in RINEX format, the data was post-processed with different positioning methods and with different software, including the freely available IBGE-PPP online service in Brazil. The results of this research show that it is possible to obtain geodetic coordinates with an accuracy at decimeter order, which indicates that the methodology can be used in some engineering applications.

Highlights

  • The Global Navigation Satellite System (GNSS) is widely used in various researches related to Geosciences and in numerous engineering works that require, above all, accurate geodetic coordinates

  • This research aims to evaluate the positional quality of the Mi 8 smartphone, using it in campaigns on static points established in the Astronomy laboratory of Federal University of Paraná (UFPR) in Curitiba, Brazil

  • The accuracy resulting from the processing performed by the IBGE-Precise Point Positioning (PPP) service, presented results similar to those obtained by the software RTKLIB

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Summary

Introduction

The Global Navigation Satellite System (GNSS) is widely used in various researches related to Geosciences and in numerous engineering works that require, above all, accurate geodetic coordinates. Among these activities, can be mentioned the monitoring of masses and dams, land surveying of rural properties, and infrastructure works such as paving, sanitation, and electricity. Under ideal conditions, e.g. obstruction-free areas, the positional quality obtained from smartphones is in the order of 2 to 3 m, while in the worst-case scenarios, e.g. urban canyons, the error could be greater than 10 m (Pesyna et al 2014). It is possible to obtain accurate geodetic coordinates with a quality better than 1 cm, even submillimeter; these equipments have a higher cost when compared to smartphones, navigation receivers and/or low-cost systems

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