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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Main Authors:	Armando Piccardi, Lorenzo Colace
Format:	Article
Language:	English
Published:	MDPI AG 2019-03-01
Series:	Sensors
Subjects:	optical sensor scattering from rough surfaces polarized scattering polarization contrast ratio
Online Access:	http://www.mdpi.com/1424-8220/19/6/1360

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spelling	doaj-029136073ab945ca94f286bebb79159f2020-11-24T21:36:39ZengMDPI AGSensors1424-82202019-03-01196136010.3390/s19061360s19061360Optical Detection of Dangerous Road ConditionsArmando Piccardi0Lorenzo Colace1NooEL—Nonlinear Optics and OptoElectronics Laboratory and CNIT—Photonic Networks and Technologies National Lab, Department of Engineering, University ROMA TRE, Via Vito Volterra 62, 00146 Rome, ItalyNooEL—Nonlinear Optics and OptoElectronics Laboratory and CNIT—Photonic Networks and Technologies National Lab, Department of Engineering, University ROMA TRE, Via Vito Volterra 62, 00146 Rome, ItalyWe 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.http://www.mdpi.com/1424-8220/19/6/1360optical sensorscattering from rough surfacespolarized scatteringpolarization contrast ratio
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Armando Piccardi Lorenzo Colace
spellingShingle	Armando Piccardi Lorenzo Colace Optical Detection of Dangerous Road Conditions Sensors optical sensor scattering from rough surfaces polarized scattering polarization contrast ratio
author_facet	Armando Piccardi Lorenzo Colace
author_sort	Armando Piccardi
title	Optical Detection of Dangerous Road Conditions
title_short	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_sort	optical detection of dangerous road conditions
publisher	MDPI AG
series	Sensors
issn	1424-8220
publishDate	2019-03-01
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.
topic	optical sensor scattering from rough surfaces polarized scattering polarization contrast ratio
url	http://www.mdpi.com/1424-8220/19/6/1360
work_keys_str_mv	AT armandopiccardi opticaldetectionofdangerousroadconditions AT lorenzocolace opticaldetectionofdangerousroadconditions
_version_	1725940236235571200

Optical Detection of Dangerous Road Conditions

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