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Inertial sensors for smartphones navigation
The advent of smartphones and tablets, means that we can constantly get information on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perf...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695469/ https://www.ncbi.nlm.nih.gov/pubmed/26753121 http://dx.doi.org/10.1186/s40064-015-1572-8 |
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author | Dabove, P. Ghinamo, G. Lingua, A. M. |
author_facet | Dabove, P. Ghinamo, G. Lingua, A. M. |
author_sort | Dabove, P. |
collection | PubMed |
description | The advent of smartphones and tablets, means that we can constantly get information on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perform positioning in indoor and outdoor scenarios. This paper shows the performance of smartphones and their inertial sensors in terms of gaining information about the user’s current geographical locatio n considering an indoor navigation scenario. Tests were carried out to determine the accuracy and precision obtainable with internal and external sensors. In terms of the attitude and drift estimation with an updating interval equal to 1 s, 2D accuracies of about 15 cm were obtained with the images. Residual benefits were also obtained, however, for large intervals, e.g. 2 and 5 s, where the accuracies decreased to 50 cm and 2.2 m, respectively. |
format | Online Article Text |
id | pubmed-4695469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-46954692016-01-08 Inertial sensors for smartphones navigation Dabove, P. Ghinamo, G. Lingua, A. M. Springerplus Research The advent of smartphones and tablets, means that we can constantly get information on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perform positioning in indoor and outdoor scenarios. This paper shows the performance of smartphones and their inertial sensors in terms of gaining information about the user’s current geographical locatio n considering an indoor navigation scenario. Tests were carried out to determine the accuracy and precision obtainable with internal and external sensors. In terms of the attitude and drift estimation with an updating interval equal to 1 s, 2D accuracies of about 15 cm were obtained with the images. Residual benefits were also obtained, however, for large intervals, e.g. 2 and 5 s, where the accuracies decreased to 50 cm and 2.2 m, respectively. Springer International Publishing 2015-12-30 /pmc/articles/PMC4695469/ /pubmed/26753121 http://dx.doi.org/10.1186/s40064-015-1572-8 Text en © Dabove et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Dabove, P. Ghinamo, G. Lingua, A. M. Inertial sensors for smartphones navigation |
title | Inertial sensors for smartphones navigation |
title_full | Inertial sensors for smartphones navigation |
title_fullStr | Inertial sensors for smartphones navigation |
title_full_unstemmed | Inertial sensors for smartphones navigation |
title_short | Inertial sensors for smartphones navigation |
title_sort | inertial sensors for smartphones navigation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4695469/ https://www.ncbi.nlm.nih.gov/pubmed/26753121 http://dx.doi.org/10.1186/s40064-015-1572-8 |
work_keys_str_mv | AT dabovep inertialsensorsforsmartphonesnavigation AT ghinamog inertialsensorsforsmartphonesnavigation AT linguaam inertialsensorsforsmartphonesnavigation |