書誌事項
- タイトル別名
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- Improving Inspection Accuracy of Wooden Sleeper Deterioration Analysing Forward View Image from Train Cab
説明
<p>In order to save labor work in the inspection of track facility by a low-cost and simple inspection method, we have developed a wooden sleeper inspection method analysing forward view image from train cab. The developed method uses deep learning to diagnose the degree of deterioration of wooden sleepers in five condition stages.However, with regard to the worst degree of deterioration, there is a problem that the diagnosis accuracy is lowered because the learning data obtained is extremely small. Therefore, the diagnosis accuracy was improved by expanding the training data. This paper reports the verification results of the accuracy improvement.</p>
収録刊行物
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- 交通・物流部門大会講演論文集
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交通・物流部門大会講演論文集 2021.30 (0), SS2-4-5-, 2021
一般社団法人 日本機械学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390011086200649216
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- ISSN
- 24243175
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可