Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
Online ISSN : 2185-6540
ISSN-L : 2185-6540
Infrastructure Planning and Management Vol.40 (Special Issue)
A STUDY ON A METHOD FOR CLASSIFYING ROAD NARROWING CONDITIONS BY SNOW ACCUMULATION BASED ON IMAGE ANALYSIS OF ROAD ENVIRONMENT IN IN-VEHICLE CAMERAS
Hiroki KINOSHITAMasahiro YAGISho TAKAHASHIToru HAGIWARA
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2023 Volume 78 Issue 5 Pages I_119-I_127

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Abstract

In snowy and cold regions, piled snow on road shoulders may cause traffic congestion and even traffic accidents, and can be a serious problem in maintaining the functionality of urban transportation. In order to maintain the effective width of roads during the winter, piled snow on the road shoulders is removed and cleared, but getting road information requires great deal of time and manpower. In this paper, we propose a method for classifying the effective road width, which is narrowed by piled snow on road shoulders, based on videos captured from an in-vehicle cameras using features focused on piled snow. Estimating road narrowing conditions from in-vehicle cameras will enable ordinary vehicles to collect road information and create an environment that does not require a great deal time or manpower to gather road information.

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© 2023 Japan Society of Civil Engineers
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