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Sensors and Measurements for UAV Safety: An Overview
Unmanned aerial vehicles’ (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classificatio...
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/PMC8704263/ https://www.ncbi.nlm.nih.gov/pubmed/34960347 http://dx.doi.org/10.3390/s21248253 |
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author | Balestrieri, Eulalia Daponte, Pasquale De Vito, Luca Picariello, Francesco Tudosa, Ioan |
author_facet | Balestrieri, Eulalia Daponte, Pasquale De Vito, Luca Picariello, Francesco Tudosa, Ioan |
author_sort | Balestrieri, Eulalia |
collection | PubMed |
description | Unmanned aerial vehicles’ (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field. Proposals from research on each proposed class concerning flight test procedures, in-flight solutions including soft propeller use, fault and damage detection, collision avoidance and safe landing, as well as ground solution including testing and injury and damage quantification measurements are discussed. |
format | Online Article Text |
id | pubmed-8704263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87042632021-12-25 Sensors and Measurements for UAV Safety: An Overview Balestrieri, Eulalia Daponte, Pasquale De Vito, Luca Picariello, Francesco Tudosa, Ioan Sensors (Basel) Review Unmanned aerial vehicles’ (UAVs) safety has gained great research interest due to the increase in the number of UAVs in circulation and their applications, which has inevitably also led to an increase in the number of accidents in which these vehicles are involved. The paper presents a classification of UAV safety solutions that can be found in the scientific literature, putting in evidence the fundamental and critical role of sensors and measurements in the field. Proposals from research on each proposed class concerning flight test procedures, in-flight solutions including soft propeller use, fault and damage detection, collision avoidance and safe landing, as well as ground solution including testing and injury and damage quantification measurements are discussed. MDPI 2021-12-10 /pmc/articles/PMC8704263/ /pubmed/34960347 http://dx.doi.org/10.3390/s21248253 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 | Review Balestrieri, Eulalia Daponte, Pasquale De Vito, Luca Picariello, Francesco Tudosa, Ioan Sensors and Measurements for UAV Safety: An Overview |
title | Sensors and Measurements for UAV Safety: An Overview |
title_full | Sensors and Measurements for UAV Safety: An Overview |
title_fullStr | Sensors and Measurements for UAV Safety: An Overview |
title_full_unstemmed | Sensors and Measurements for UAV Safety: An Overview |
title_short | Sensors and Measurements for UAV Safety: An Overview |
title_sort | sensors and measurements for uav safety: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704263/ https://www.ncbi.nlm.nih.gov/pubmed/34960347 http://dx.doi.org/10.3390/s21248253 |
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