Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads

Joint Authors

Shin, Jungil
Park, Hyunsuk
Kim, Taejung

Source

Journal of Sensors

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-04-17

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Shin, Jungil& Park, Hyunsuk& Kim, Taejung. 2019. Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads. Journal of Sensors،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191783

Modern Language Association (MLA)

Shin, Jungil…[et al.]. Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads. Journal of Sensors No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1191783

American Medical Association (AMA)

Shin, Jungil& Park, Hyunsuk& Kim, Taejung. Characteristics of Laser Backscattering Intensity to Detect Frozen and Wet Surfaces on Roads. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1191783

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1191783