A low-cost, mobile real-time kinematic geolocation service for engineering and research applications

Broekman, André; Gräbe, P.J.

doi:10.1016/j.ohx.2021.e00203

Cited by 16 publications

(7 citation statements)

References 19 publications

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“…In principle, photogrammetry software analyzes overlapping 2D images of the object, matching common points, and then the relative positions of these points are calculated resulting in the surface of the object. One of the earliest and still common application of photogrammetry is topographic reconstruction based on satellite or aerial imagery [1] , [2] . One of the main advantages is that it allows the building of high-precision 3D models without the need for special 3D instrumentation.…”

Section: Hardware In Contextmentioning

confidence: 99%

Phone cam array – An open-source, modular photogrammetry system made of Android phones

Poór

2023

HardwareX

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Section: Hardware In Contextmentioning

confidence: 99%

Phone cam array – An open-source, modular photogrammetry system made of Android phones

Poór

2023

HardwareX

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“…Limited research has been conducted in the past [4] , [5] , [6] , [7] , [8] for SHM of onshore wind turbines and wind turbine foundations; both low-cost wireless sensors and technologies, and commercially available options have, however, proved successful. Following recent examples from the University of Pretoria, whereby low-cost data acquisition systems (DAQ) [9] , [10] and a closed-loop controller for geotechnical centrifuge modelling [11] were successfully developed, a low-cost DAQ for long-term wind turbine and wind turbine foundation monitoring was explored. Commercial DAQ hardware and software ( Fig.…”

Section: Hardware In Contextmentioning

confidence: 99%

MADV-DAQ: Multi-channel Arduino-based differential voltage data acquisition system for remote strain measurement applications

2022

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“…As for testing low-cost GNSS devices in kinematic terrestrial surveys, many studies have already been conducted since the introduction of multi-constellation and dualfrequency smartphones in 2018. Broekman and Gräbe showed that a low-cost real-time mobile geolocation service provides centimetre accuracy up to 15 km from the base station [13]. The problem was further investigated by Janos and Kuros [14], who used ZED-F9P for stop-and-go topographic real-time kinematic (RTK) surveys under difficult measurement conditions.…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of Geodetic and Low-Cost GNSS Devices in Urban Kinematic Terrestrial Positioning in Terms of the Trajectory Generated by MMS

et al. 2023

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The quality of geospatial data collection depends, among other things, on the reliability and efficiency of the GNSS receivers or even better integrated GNSS/INS systems used for positioning. High-precision positioning is currently not only the domain of professional receivers but can also be achieved by using simple devices, including smartphones. This research focused on the quality of 2D and 3D kinematic positioning of different geodetic and low-cost GNSS devices, using the professional mobile mapping system (MMS) as a reference. Kinematic positioning was performed simultaneously with a geodetic Septentrio AsteRx-U receiver, two u-blox receivers—ZED-F9P and ZED-F9R—and a Xiaomi Mi 8 smartphone and then compared with an Applanix Corporation GPS/INS MMS reference trajectory. The field tests were conducted in urban and non-urban environments with and without obstacles, on road sections with large manoeuvres and curves, and under overpasses and tunnels. Some general conclusions can be drawn from the analysis of the different scenarios. As expected, some results in GNSS positioning are subject to position losses, large outliers and multipath effects; however, after removing them, they are quite promising, even for the Xiaomi Mi8 smartphone. From the comparison of the GPS and GNSS solutions, as expected, GNSS processing achieved many more solutions for position determination and allowed a relevant higher number of fixed ambiguities, even if this was not true in general for the Septentrio AsteRx-U, in particular in a surveyed non-urban area with curves and serpentines characterised by a reduced signal acquisition. In GNSS mode, the Xiaomi Mi8 smartphone performed well in situations with a threshold of less than 1 m, with the percentages varying from 50% for the urban areas to 80% for the non-urban areas, which offers potential in view of future improvements for applications in terrestrial navigation.

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A low-cost, mobile real-time kinematic geolocation service for engineering and research applications

Cited by 16 publications

References 19 publications

Phone cam array – An open-source, modular photogrammetry system made of Android phones

Phone cam array – An open-source, modular photogrammetry system made of Android phones

MADV-DAQ: Multi-channel Arduino-based differential voltage data acquisition system for remote strain measurement applications

The Efficiency of Geodetic and Low-Cost GNSS Devices in Urban Kinematic Terrestrial Positioning in Terms of the Trajectory Generated by MMS

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