<b>Wooden Sleeper Deterioration Evaluation System Using Image Analysis of Video</b>
-
- TSUBOKAWA Yosuke
- Track Geometry & Maintenance Laboratory, Track Technology Division
-
- KATO So
- Track Geometry & Maintenance Laboratory, Track Technology Division
-
- NAGAMINE Nozomi
- Image Analysis Laboratory, Information and Communication Technology Division
-
- GODA Wataru
- Image Analysis Laboratory, Information and Communication Technology Division
-
- MAEDA Riho
- Image Analysis Laboratory, Information and Communication Technology Division
-
- ITOI Kensuke
- Track Geometry & Maintenance Laboratory, Track Technology Division
抄録
<p>This paper describes the development of a low-cost, simple system for inspecting wooden sleepers using images taken with a forward-facing handheld camera placed at the front of a train. This system is expected to save labor for inspecting track facilities. The system uses deep learning to classify the deterioration of wooden sleepers from images. In this paper, we report the outline of the system: classification accuracy, and verification results to see if the progress of deterioration can be assessed.</p>
収録刊行物
-
- Quarterly Report of RTRI
-
Quarterly Report of RTRI 65 (1), 43-48, 2024-02-01
公益財団法人 鉄道総合技術研究所
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390862168253115904
-
- ISSN
- 18801765
- 00339008
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
-
- 抄録ライセンスフラグ
- 使用不可