Reynolds, Jeremy (2006) Accuracy assessment of VRS in a dynamic environment. [USQ Project]
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Abstract
The Virtual Reference Station (VRS) concept is one method that is being
employed around the world to overcome some of the limitations with
conventional Real Time Kinematic (RTK) positioning. There has been an
increasing amount of research into the accuracy of VRS RTK GPS measurements,
and the Department of Natural Resources and Water has identified the need to
investigate the use of VRS in a dynamic environment.
This project has compared the accuracy, precision and latency of conventional
RTK and VRS RTK GPS measurements taken in a dynamic environment. This
gives an insight into the suitability of the VRS RTK GPS system to real time
dynamic applications.
The testing regime used for this project involved attaching RTK GPS equipment
to a trolley and positioning reference marks (a series of stakes with barcodes
attached) adjacent to a pathway. As the trolley passes these reference marks, a
barcode reader on the trolley will scan the barcodes and will initiate a GPS
measurement for both conventional RTK and VRS RTK methods. These
measurements are compared to the true locations of the reference marks to
determine the accuracy, precision and latency.
The results show that the VRS RTK method may be suitable for real time
dynamic applications such as machine guidance. However this testing has
resembled only slow speed dynamic applications in the range of 1-5 km/h. Further
testing would be required for faster speeds.
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
|---|---|
| Refereed: | No |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013) |
| Date Deposited: | 11 Oct 2007 01:02 |
| Last Modified: | 02 Jul 2013 22:43 |
| Uncontrolled Keywords: | virtual reference station (VRS); real time kinematic (RTK); global positioning system (GPS) |
| Fields of Research (2008): | 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems |
| Fields of Research (2020): | 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling |
| URI: | https://sear.unisq.edu.au/id/eprint/2318 |
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