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Road Surface Monitoring Using Smartphone Sensors: A Review

Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detecti...

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Detalles Bibliográficos
Autores principales: Sattar, Shahram, Li, Songnian, Chapman, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263868/
https://www.ncbi.nlm.nih.gov/pubmed/30423962
http://dx.doi.org/10.3390/s18113845
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author Sattar, Shahram
Li, Songnian
Chapman, Michael
author_facet Sattar, Shahram
Li, Songnian
Chapman, Michael
author_sort Sattar, Shahram
collection PubMed
description Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.
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spelling pubmed-62638682018-12-12 Road Surface Monitoring Using Smartphone Sensors: A Review Sattar, Shahram Li, Songnian Chapman, Michael Sensors (Basel) Review Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted. MDPI 2018-11-09 /pmc/articles/PMC6263868/ /pubmed/30423962 http://dx.doi.org/10.3390/s18113845 Text en © 2018 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 Review
Sattar, Shahram
Li, Songnian
Chapman, Michael
Road Surface Monitoring Using Smartphone Sensors: A Review
title Road Surface Monitoring Using Smartphone Sensors: A Review
title_full Road Surface Monitoring Using Smartphone Sensors: A Review
title_fullStr Road Surface Monitoring Using Smartphone Sensors: A Review
title_full_unstemmed Road Surface Monitoring Using Smartphone Sensors: A Review
title_short Road Surface Monitoring Using Smartphone Sensors: A Review
title_sort road surface monitoring using smartphone sensors: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263868/
https://www.ncbi.nlm.nih.gov/pubmed/30423962
http://dx.doi.org/10.3390/s18113845
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