2018
DOI: 10.3846/gac.2018.1255
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Cors Architecture and Evaluation of Positioning by Low-Cost GNSS Receiver

Abstract: In recent years, the use of low cost GNSS receivers is becoming widespread due to their increasing performance in the spatial positioning, flexibility, ease of use and really interesting price. In addition, a recent technique of Global Navigation Satellite System (GNSS) survey, called Network Real Time Kinematic (NRTK), allows to obtain to rapid and accurate positioning measurements. The main feature of this approach is to use the raw measurements obtained and stored from a network of Continuously Operating Re… Show more

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Cited by 18 publications
(17 citation statements)
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References 26 publications
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“…Network RTK is a high precision, real-time, carrier phase-based positioning technology. The regional error correction model of network RTK is calculated using data from continuous operating reference stations (CORS) to provide position correction [35][36][37][38][39]. There are many ways to implement network RTK, of which the virtual reference station (VRS) is most commonly used.…”
Section: Network Rtkmentioning
confidence: 99%
See 2 more Smart Citations
“…Network RTK is a high precision, real-time, carrier phase-based positioning technology. The regional error correction model of network RTK is calculated using data from continuous operating reference stations (CORS) to provide position correction [35][36][37][38][39]. There are many ways to implement network RTK, of which the virtual reference station (VRS) is most commonly used.…”
Section: Network Rtkmentioning
confidence: 99%
“…e up (t) + e low (t) 2 (38) where k denotes the loop index for calculating an IMF component. (3) The difference between x(t) and m k (t) is calculated as:…”
Section: Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…The model is scaled using Ground Control Points (GCPs). This GCPs may be determined by traditional topographic survey or GNSS (Global Navigation Satellite Systems) techniques (Lingua et al, 2017;Pepe, 2018b). In this case study, the scale model was obtained by recognizing on the images of 4 markers positioned on the superstructure of the bridge.…”
Section: Model Scaling By Topographic Surveymentioning
confidence: 99%
“…Other field are intelligent transport systems, health care, museum, environmental monitoring, and teaching. In this last case, the spread of these devices, together with the easy access to the API level required to store the GNSS data, could allow instructors to easily set up teaching methodologies and share knowledge in the positioning field [7].…”
Section: Introductionmentioning
confidence: 99%