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The Problem of Comparable GNSS Results – An Approach for a Uniform Dataset with Low-Cost and Reference Data

Authors:
Pierre Reisdorf
Tim Pfeifer
Julia Breßler
Sven Bauer
Peter Weissig
Sven Lange
Gerd Wanielik
Peter Protzel

Keywords: Low-cost Sensor; NLOS; Reference Data; Urban Canyon

Abstract:
Localization and navigation are two key factors for our globalized world. Driven by cost-effective end-user devices, position estimation using Global Navigation Satellite Systems (GNSS) is common sense. Using the pseudorange measurements as input, many research groups developed their own approaches for estimating position information and evaluated it in simulation or real-world scenarios. Surprisingly, a common publicly available dataset for comparing such algorithms against each other has not been established. We pursue the idea of a uniform, free to use dataset collected by a low-cost receiver in conjunction with associated reference data originating from a high-precision device. For creating representative datasets, we chose four challenging scenarios within two different cities with various influences of urban canyons and surroundings. Based on this, we present first preliminary results from our Factor Graph approach. Our datasets are associated with the smartLoc project and are available online at: www.mytuc.org/GNSS

Pages: 1 to 8

Copyright: Copyright (c) IARIA, 2016

Publication date: November 13, 2016

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-515-9

Location: Barcelona, Spain

Dates: from November 13, 2016 to November 17, 2016