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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Published in:Journal of Sensors
Main Authors: Jungil Shin, Hyunsuk Park, Taejung Kim
Format: Article in Journal/Newspaper
Language:English
Published: Journal of Sensors 2019
Subjects:
Online Access:https://doi.org/10.1155/2019/8973248
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spelling 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
institution Open Polar
collection Hindawi Publishing Corporation
op_collection_id fthindawi
language English
description 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
container_title Journal of Sensors
container_volume 2019
container_start_page 1
op_container_end_page 9
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