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Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors
Magnetic sensors provide an advantageous alternative localization method, primarily focusing on localization in surroundings where GPS, other radio frequency-based, as well as optical localization do not work or has severe limitations. Suitable for distances in the meter range, such magnetic localiz...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412297/ https://www.ncbi.nlm.nih.gov/pubmed/30781523 http://dx.doi.org/10.3390/s19040813 |
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author | Mitterer, Tobias Gietler, Harald Faller, Lisa-Marie Zangl, Hubert |
author_facet | Mitterer, Tobias Gietler, Harald Faller, Lisa-Marie Zangl, Hubert |
author_sort | Mitterer, Tobias |
collection | PubMed |
description | Magnetic sensors provide an advantageous alternative localization method, primarily focusing on localization in surroundings where GPS, other radio frequency-based, as well as optical localization do not work or has severe limitations. Suitable for distances in the meter range, such magnetic localization may in particular be useful as artificial landmarks, e.g., for automatic drift correction. To easily use such artificial landmarks, we propose an integration process based on Transducer Electronic Data Sheets. With this approach, the landmarks can be used by passing autonomous vehicles, e.g., UAVs, for re-orientation and re-calibration. During this process, all necessary information such as data formats, reference coordinates, calibration data, provider of the landmark etc. is made known to the vehicle passing by. Based on the provided so-called meta-information, the vehicle itself can decide whether and how to use the provided sensory information. To provide a certain level of trust in the landmarks and their provided information, the corresponding data sheets are certified using a digital signature. |
format | Online Article Text |
id | pubmed-6412297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64122972019-04-03 Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors Mitterer, Tobias Gietler, Harald Faller, Lisa-Marie Zangl, Hubert Sensors (Basel) Article Magnetic sensors provide an advantageous alternative localization method, primarily focusing on localization in surroundings where GPS, other radio frequency-based, as well as optical localization do not work or has severe limitations. Suitable for distances in the meter range, such magnetic localization may in particular be useful as artificial landmarks, e.g., for automatic drift correction. To easily use such artificial landmarks, we propose an integration process based on Transducer Electronic Data Sheets. With this approach, the landmarks can be used by passing autonomous vehicles, e.g., UAVs, for re-orientation and re-calibration. During this process, all necessary information such as data formats, reference coordinates, calibration data, provider of the landmark etc. is made known to the vehicle passing by. Based on the provided so-called meta-information, the vehicle itself can decide whether and how to use the provided sensory information. To provide a certain level of trust in the landmarks and their provided information, the corresponding data sheets are certified using a digital signature. MDPI 2019-02-16 /pmc/articles/PMC6412297/ /pubmed/30781523 http://dx.doi.org/10.3390/s19040813 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mitterer, Tobias Gietler, Harald Faller, Lisa-Marie Zangl, Hubert Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title | Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title_full | Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title_fullStr | Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title_full_unstemmed | Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title_short | Artificial Landmarks for Trusted Localization of Autonomous Vehicles Based on Magnetic Sensors |
title_sort | artificial landmarks for trusted localization of autonomous vehicles based on magnetic sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412297/ https://www.ncbi.nlm.nih.gov/pubmed/30781523 http://dx.doi.org/10.3390/s19040813 |
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