EVALUATION METHOD OF ROAD SURFACE DAMAGE IN WINTER USING DEEP LEARNING AND SALIENCY MAP-Reference-Cited by-同舟云学术

EVALUATION METHOD OF ROAD SURFACE DAMAGE IN WINTER USING DEEP LEARNING AND SALIENCY MAP

Published:2023 Issue:21 Volume:79 Page:n/a
ISSN:2436-6021
Container-title:Japanese Journal of JSCE
language:en
Short-container-title:Japanese Journal of JSCE

Author:

HIHARA Hirotaka¹,ASADA Takumi²,GOTO Hiroyuki³,KAMEYAMA Shuichi⁴

Affiliation:

1. 室蘭工業大学大学院工学研究科環境創生工学系専攻

2. 室蘭工業大学大学院工学研究科もの創造系領域

3. 北海道開発局建設部道路維持課

4. 北海道科学大学工学都市環境学科

Publisher

Japan Society of Civil Engineers

Link

https://www.jstage.jst.go.jp/article/jscejj/79/21/79_23-21015/_pdf

Reference14 articles.

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3. 3) Kontokosta, C. and Hong, B. : Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions, Sustainable Cities and Society, Vol. 64, 2021.

4. 4) 寺野聡恭，小金丸暁，松田浩，佐々木博，古賀掲維，西川貴文：スマートフォンを用いた道路舗装の平坦性ひび割れ率の評価に関する研究，土木学会論文集F4（建設マネジメント），Vol. 75, No. 2，pp. I_88-I_95，2019．[Terano, S., Koganemaru, S., Matsuda, H., Sasaki, H., Koga, A. and Nishikawa, T.: Evaluation of surface flatness and craking ratio of road using smartphone, Journal of Japan Society of Civil Engineers, Ser.F4 (Construction and Management), Vol. 75, Issue 2, pp. I_88-I_95, 2019.]

5. 5) 毅力果奇，阿栄，村上茂之，佐々木博：スマートフォンによる路面性状の平坦性の簡易診断におけるSVM の適用可能性，交通工学論文集，Vol. 4，No. 4，pp. 1-10，2018．[Arong, Y., Murakami, S. and Sasaki, H.: Application of SVM for simple diagnosis of road surface roughness measured by smartphone, Journal of Traffic Engineering, Vol. 4. Issue 4, pp. 1-10, 2018.]