ドローン撮影画像を用いた劣化橋梁の健全性診断のための機械学習モデルの構築

• Project/Area Number: 24KK0090
• Research Category: Fund for the Promotion of Joint International Research (International Collaborative Research)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 22:Civil engineering and related fields
• Research Institution: Waseda University
• Principal Investigator: 秋山 充良 早稲田大学, 理工学術院, 教授 (00302191)
• Project Period (FY): 2024-09-09 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2024)
• Budget Amount: ¥20,930,000 (Direct Cost: ¥16,100,000、Indirect Cost: ¥4,830,000); Fiscal Year 2027: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000); Fiscal Year 2026: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000); Fiscal Year 2025: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000); Fiscal Year 2024: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)