書誌事項
- タイトル別名
-
- BUILDING DAMAGE ASSESSMENT MODEL USING AI AND DAMAGE RATE EVALUATION BY VIDEO FROM VEHICLE MOUNTED CAMERA
説明
<p>In Japan, large earthquakes often occur. For rehabilitation efforts, a damage assessment of buildings is important. Currently, the damage assessment is done by investigators; however, it takes a lot of time. In this study, the authors tried to propose the assessment using AI and IoT for more effective and faster assessment. First, the deep learning model was constructed using the images of damaged buildings from previous earthquakes. Next, the accuracy of the model was verified using the video shot in Futaba, Fukushima. As a result, the large and small scale damage could be reasonably estimated.</p>
収録刊行物
-
- 日本建築学会技術報告集
-
日本建築学会技術報告集 30 (74), 548-552, 2024-02-20
一般社団法人 日本建築学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390862157391932032
-
- ISSN
- 18818188
- 13419463
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- Crossref
-
- 抄録ライセンスフラグ
- 使用不可