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Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges

Given the continuous improvement in the capabilities of road vehicles to detect obstacles, the road friction coefficient is closely related to vehicular braking control, thus the detection of road surface conditions (RSC), and the level is crucial for driving safety. Non-contact technology for RSC s...

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Detalles Bibliográficos
Autores principales: Ma, Yao, Wang, Meizhu, Feng, Qi, He, Zhiping, Tian, Mi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782052/
https://www.ncbi.nlm.nih.gov/pubmed/36559951
http://dx.doi.org/10.3390/s22249583
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author Ma, Yao
Wang, Meizhu
Feng, Qi
He, Zhiping
Tian, Mi
author_facet Ma, Yao
Wang, Meizhu
Feng, Qi
He, Zhiping
Tian, Mi
author_sort Ma, Yao
collection PubMed
description Given the continuous improvement in the capabilities of road vehicles to detect obstacles, the road friction coefficient is closely related to vehicular braking control, thus the detection of road surface conditions (RSC), and the level is crucial for driving safety. Non-contact technology for RSC sensing is becoming the main technological and research hotspot for RSC detection because of its fast, non-destructive, efficient, and portable characteristics and attributes. This study started with mapping the relationship between friction coefficients and RSC based on the requirement for autonomous driving. We then compared and analysed the main methods and research application status of non-contact detection schemes. In particular, the use of infrared spectroscopy is expected to be the most approachable technology path to practicality in the field of autonomous driving RSC detection owing to its high accuracy and environmental adaptability properties. We systematically analysed the technical challenges in the practical application of infrared spectroscopy road surface detection, studied the causes, and discussed feasible solutions. Finally, the application prospects and development trends of RSC detection in the fields of automatic driving and exploration robotics are presented and discussed.
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spelling pubmed-97820522022-12-24 Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges Ma, Yao Wang, Meizhu Feng, Qi He, Zhiping Tian, Mi Sensors (Basel) Review Given the continuous improvement in the capabilities of road vehicles to detect obstacles, the road friction coefficient is closely related to vehicular braking control, thus the detection of road surface conditions (RSC), and the level is crucial for driving safety. Non-contact technology for RSC sensing is becoming the main technological and research hotspot for RSC detection because of its fast, non-destructive, efficient, and portable characteristics and attributes. This study started with mapping the relationship between friction coefficients and RSC based on the requirement for autonomous driving. We then compared and analysed the main methods and research application status of non-contact detection schemes. In particular, the use of infrared spectroscopy is expected to be the most approachable technology path to practicality in the field of autonomous driving RSC detection owing to its high accuracy and environmental adaptability properties. We systematically analysed the technical challenges in the practical application of infrared spectroscopy road surface detection, studied the causes, and discussed feasible solutions. Finally, the application prospects and development trends of RSC detection in the fields of automatic driving and exploration robotics are presented and discussed. MDPI 2022-12-07 /pmc/articles/PMC9782052/ /pubmed/36559951 http://dx.doi.org/10.3390/s22249583 Text en © 2022 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
Ma, Yao
Wang, Meizhu
Feng, Qi
He, Zhiping
Tian, Mi
Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title_full Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title_fullStr Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title_full_unstemmed Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title_short Current Non-Contact Road Surface Condition Detection Schemes and Technical Challenges
title_sort current non-contact road surface condition detection schemes and technical challenges
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782052/
https://www.ncbi.nlm.nih.gov/pubmed/36559951
http://dx.doi.org/10.3390/s22249583
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