Rail Joint Gap Measurement Method using Train Frontal Images Captured by a Handy Video Camcorder

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門（英文）

発行日: 2023/07/01

タイトル(英語): Rail Joint Gap Measurement Method using Train Frontal Images Captured by a Handy Video Camcorder

著者名: Wataru Goda (Railway Technical Research Institute), Kensuke Itoi (Railway Technical Research Institute), Nozomi Nagamine (Railway Technical Research Institute), Yosuke Tsubokawa (Railway Technical Research Institute)

著者名(英語): Wataru Goda (Railway Technical Research Institute), Kensuke Itoi (Railway Technical Research Institute), Nozomi Nagamine (Railway Technical Research Institute), Yosuke Tsubokawa (Railway Technical Research Institute)

キーワード: track maintenance，joint gap measurement，image processing，deep learning

要約(英語): Joint gap measurement is an important inspection to prevent buckling of railways. However, this measurement is labor intensive and time consuming because the tracks are too long for manual inspections. Therefore, we have developed a rail joint gap measurement method using train frontal images recorded by a handy video camcorder. In this paper, we describe details pertaining to the proposed method and discuss the measurement results obtained based on an experiment involving a commercial train.

本誌: IEEJ Journal of Industry Applications Vol.12 No.4 （2023） Special Issue on “IPEC-Himeji 2022”

本誌掲載ページ: 842-851 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/12/4/12_22006132/_article/-char/ja/