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The Impact of 3D Data Quality on Improving GNSS Performance Using City Models - Initial Simulations

Ellul, C; Adjrad, M; Groves, P; (2016) The Impact of 3D Data Quality on Improving GNSS Performance Using City Models - Initial Simulations. In: Dimopoulou, E and van Oosterom, P, (eds.) (Proceedings) 11th 3D Geoinfo Conference. International Society for Photogrammetry and Remote Sensing Green open access

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Abstract

There is an increasing demand for highly accurate positioning information in urban areas, to support applications such as people and vehicle tracking, real-time air quality detection and navigation. However systems such as GPS typically perform poorly in dense urban areas. A number of authors have made use of 3D city models to enhance accuracy, obtaining good results, but to date the influence of the quality of the 3D city model on these results has not been tested. This paper addresses the following question: how does the quality, and in particular the variation in height, level of generalization and completeness and currency of a 3D dataset, impact the results obtained for the preliminary calculations in a process known as Shadow Matching, which takes into account not only where satellite signals are visible on the street but also where they are predicted to be absent. We describe initial simulations to address this issue, examining the variation in elevation angle – i.e. the angle above which the satellite is visible, for three 3D city models in a test area in London, and note that even within one dataset using different available height values could cause a difference in elevation angle of up to 29°. Missing or extra buildings result in an elevation variation of around 85°. Variations such as these can significantly influence the predicted satellite visibility which will then not correspond to that experienced on the ground, reducing the accuracy of the resulting Shadow Matching process.

Type: Proceedings paper
Title: The Impact of 3D Data Quality on Improving GNSS Performance Using City Models - Initial Simulations
Event: 11th 3D Geoinfo Conference
Open access status: An open access version is available from UCL Discovery
DOI: 10.5194/isprs-annals-IV-2-W1-171-2016
Publisher version: http://www.isprs-ann-photogramm-remote-sens-spatia...
Language: English
Additional information: Copyright © 2017 The Author(s). All rights reserved. This work is licensed under a Creative Commons Attribution 3.0 License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
Keywords: GNSS, 3D Data Quality, Shadow Matching
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1514305
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