Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads
A frozen or wet road surface is a cause of skidding and accidents, so road surface condition is important information for driving safety. Some instruments and methods have been developed to investigate road surface conditions based on optical imagery, although an active sensor is needed, regardless...
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fthindawi:oai:hindawi.com:10.1155/2019/8973248 2023-05-15T16:41:15+02:00 Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads Jungil Shin Hyunsuk Park Taejung Kim 2019 https://doi.org/10.1155/2019/8973248 en eng Journal of Sensors https://doi.org/10.1155/2019/8973248 Copyright © 2019 Jungil Shin et al. Research Article 2019 fthindawi https://doi.org/10.1155/2019/8973248 2019-05-26T12:22:15Z A frozen or wet road surface is a cause of skidding and accidents, so road surface condition is important information for driving safety. Some instruments and methods have been developed to investigate road surface conditions based on optical imagery, although an active sensor is needed, regardless of the time of day. Recently, the laser scanner, which acquires backscattering intensity data related to reflectivity, has become popular in various fields. There is a need to investigate road surface conditions (frozen, wet, or dry) using laser backscattering intensity. This study tries to analyze signal characteristics of laser backscattering intensity to detect frozen and wet surfaces on roads. An ice target with a 7 cm thickness was placed on a road surface, and a wet surface was made due to the melting ice. The ice target, wet surface, dry surface, and roadside vegetation were scanned using a laser scanner. As a result, backscattering signals from the top surface of the ice target were missing due to its smoothness. Dry and wet asphalt surfaces showed distinguishable intensity ranges in their signals. The thick sidewall of the ice target and vegetation at the roadside showed overlapping intensity ranges. An ice sheet is only a few millimeters thick on a real road surface, and the roadside vegetation might be easily distinguished by using texture or auxiliary data. Therefore, laser backscattering intensity can be used to detect frozen, wet, and dry road surfaces, regardless of the time of day. The laser scanner can be installed to acquire information about road surface conditions from observation stations and vehicles in an application for transportation. Article in Journal/Newspaper Ice Sheet Hindawi Publishing Corporation Journal of Sensors 2019 1 9 |
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Hindawi Publishing Corporation |
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A frozen or wet road surface is a cause of skidding and accidents, so road surface condition is important information for driving safety. Some instruments and methods have been developed to investigate road surface conditions based on optical imagery, although an active sensor is needed, regardless of the time of day. Recently, the laser scanner, which acquires backscattering intensity data related to reflectivity, has become popular in various fields. There is a need to investigate road surface conditions (frozen, wet, or dry) using laser backscattering intensity. This study tries to analyze signal characteristics of laser backscattering intensity to detect frozen and wet surfaces on roads. An ice target with a 7 cm thickness was placed on a road surface, and a wet surface was made due to the melting ice. The ice target, wet surface, dry surface, and roadside vegetation were scanned using a laser scanner. As a result, backscattering signals from the top surface of the ice target were missing due to its smoothness. Dry and wet asphalt surfaces showed distinguishable intensity ranges in their signals. The thick sidewall of the ice target and vegetation at the roadside showed overlapping intensity ranges. An ice sheet is only a few millimeters thick on a real road surface, and the roadside vegetation might be easily distinguished by using texture or auxiliary data. Therefore, laser backscattering intensity can be used to detect frozen, wet, and dry road surfaces, regardless of the time of day. The laser scanner can be installed to acquire information about road surface conditions from observation stations and vehicles in an application for transportation. |
format |
Article in Journal/Newspaper |
author |
Jungil Shin Hyunsuk Park Taejung Kim |
spellingShingle |
Jungil Shin Hyunsuk Park Taejung Kim Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
author_facet |
Jungil Shin Hyunsuk Park Taejung Kim |
author_sort |
Jungil Shin |
title |
Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
title_short |
Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
title_full |
Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
title_fullStr |
Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
title_full_unstemmed |
Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads |
title_sort |
characteristics of laser backscattering intensity to detect frozen and wet surfaces on roads |
publisher |
Journal of Sensors |
publishDate |
2019 |
url |
https://doi.org/10.1155/2019/8973248 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
https://doi.org/10.1155/2019/8973248 |
op_rights |
Copyright © 2019 Jungil Shin et al. |
op_doi |
https://doi.org/10.1155/2019/8973248 |
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Journal of Sensors |
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2019 |
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1 |
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9 |
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1766031690013081600 |