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LocaRDS: A Localization Reference Data Set
The use of wireless signals for the purposes of localization enables a host of applications relating to the determination and verification of the positions of network participants ranging from radar to satellite navigation. Consequently, this has been a longstanding interest of theoretical and pract...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402290/ https://www.ncbi.nlm.nih.gov/pubmed/34450957 http://dx.doi.org/10.3390/s21165516 |
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author | Schäfer, Matthias Strohmeier, Martin Leonardi, Mauro Lenders, Vincent |
author_facet | Schäfer, Matthias Strohmeier, Martin Leonardi, Mauro Lenders, Vincent |
author_sort | Schäfer, Matthias |
collection | PubMed |
description | The use of wireless signals for the purposes of localization enables a host of applications relating to the determination and verification of the positions of network participants ranging from radar to satellite navigation. Consequently, this has been a longstanding interest of theoretical and practical research in mobile networks and many solutions have been proposed in the scientific literature. However, it is hard to assess the performance of these in the real world and, more importantly, to compare their advantages and disadvantages in a controlled scientific manner. With this work, we attempt to improve the current state of art methodology in localization research and to place it on a solid scientific grounding for future investigations. Concretely, we developed LocaRDS, an open reference data set of real-world crowdsourced flight data featuring more than 222 million measurements from over 50 million transmissions recorded by 323 sensors. We demonstrate how we can verify the quality of LocaRDS measurements so that it can be used to test, analyze and directly compare different localization methods. Finally, we provide an example implementation for the aircraft localization problem and a discussion of possible metrics for use with LocaRDS. |
format | Online Article Text |
id | pubmed-8402290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84022902021-08-29 LocaRDS: A Localization Reference Data Set Schäfer, Matthias Strohmeier, Martin Leonardi, Mauro Lenders, Vincent Sensors (Basel) Article The use of wireless signals for the purposes of localization enables a host of applications relating to the determination and verification of the positions of network participants ranging from radar to satellite navigation. Consequently, this has been a longstanding interest of theoretical and practical research in mobile networks and many solutions have been proposed in the scientific literature. However, it is hard to assess the performance of these in the real world and, more importantly, to compare their advantages and disadvantages in a controlled scientific manner. With this work, we attempt to improve the current state of art methodology in localization research and to place it on a solid scientific grounding for future investigations. Concretely, we developed LocaRDS, an open reference data set of real-world crowdsourced flight data featuring more than 222 million measurements from over 50 million transmissions recorded by 323 sensors. We demonstrate how we can verify the quality of LocaRDS measurements so that it can be used to test, analyze and directly compare different localization methods. Finally, we provide an example implementation for the aircraft localization problem and a discussion of possible metrics for use with LocaRDS. MDPI 2021-08-17 /pmc/articles/PMC8402290/ /pubmed/34450957 http://dx.doi.org/10.3390/s21165516 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Schäfer, Matthias Strohmeier, Martin Leonardi, Mauro Lenders, Vincent LocaRDS: A Localization Reference Data Set |
title | LocaRDS: A Localization Reference Data Set |
title_full | LocaRDS: A Localization Reference Data Set |
title_fullStr | LocaRDS: A Localization Reference Data Set |
title_full_unstemmed | LocaRDS: A Localization Reference Data Set |
title_short | LocaRDS: A Localization Reference Data Set |
title_sort | locards: a localization reference data set |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402290/ https://www.ncbi.nlm.nih.gov/pubmed/34450957 http://dx.doi.org/10.3390/s21165516 |
work_keys_str_mv | AT schafermatthias locardsalocalizationreferencedataset AT strohmeiermartin locardsalocalizationreferencedataset AT leonardimauro locardsalocalizationreferencedataset AT lendersvincent locardsalocalizationreferencedataset |