Optical Detection of Dangerous Road Conditions

We demonstrated an optical method to evaluate the state of asphalt due to the presence of atmospheric agents using the measurement of the polarization/depolarization state of near infrared radiation. Different sensing geometries were studied to determine the most efficient ones in terms of performan...

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Detalles Bibliográficos
Autores principales: Piccardi, Armando, Colace, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471196/
https://www.ncbi.nlm.nih.gov/pubmed/30893767
http://dx.doi.org/10.3390/s19061360
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author Piccardi, Armando
Colace, Lorenzo
author_facet Piccardi, Armando
Colace, Lorenzo
author_sort Piccardi, Armando
collection PubMed
description We demonstrated an optical method to evaluate the state of asphalt due to the presence of atmospheric agents using the measurement of the polarization/depolarization state of near infrared radiation. Different sensing geometries were studied to determine the most efficient ones in terms of performance, reliability and compactness. Our results showed that we could distinguish between a safe surface and three different dangerous surfaces, demonstrating the reliability and selectivity of the proposed approach and its suitability for implementing a sensor.
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spelling pubmed-64711962019-04-26 Optical Detection of Dangerous Road Conditions Piccardi, Armando Colace, Lorenzo Sensors (Basel) Article We demonstrated an optical method to evaluate the state of asphalt due to the presence of atmospheric agents using the measurement of the polarization/depolarization state of near infrared radiation. Different sensing geometries were studied to determine the most efficient ones in terms of performance, reliability and compactness. Our results showed that we could distinguish between a safe surface and three different dangerous surfaces, demonstrating the reliability and selectivity of the proposed approach and its suitability for implementing a sensor. MDPI 2019-03-19 /pmc/articles/PMC6471196/ /pubmed/30893767 http://dx.doi.org/10.3390/s19061360 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
Piccardi, Armando
Colace, Lorenzo
Optical Detection of Dangerous Road Conditions
title Optical Detection of Dangerous Road Conditions
title_full Optical Detection of Dangerous Road Conditions
title_fullStr Optical Detection of Dangerous Road Conditions
title_full_unstemmed Optical Detection of Dangerous Road Conditions
title_short Optical Detection of Dangerous Road Conditions
title_sort optical detection of dangerous road conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471196/
https://www.ncbi.nlm.nih.gov/pubmed/30893767
http://dx.doi.org/10.3390/s19061360
work_keys_str_mv AT piccardiarmando opticaldetectionofdangerousroadconditions
AT colacelorenzo opticaldetectionofdangerousroadconditions

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