1. 1) 国土交通省:i-Construction~建設現場の生産性革命~,<http://www.mlit.go.jp/common/001137123.pdf>,(入手 2024.1.4).[ Ministry of Land, Infrastructure and Transport: i-Construction - Productivity Revolution at Construction Sites, <http://www.mlit.go.jp/common/001137123.pdf> (accessed 2024.1.4).]
2. 2) 岡野和行:SfMを用いた3次元計測,砂防学会誌,72巻6号,pp. 67-71,2020. [Okano, K.: 3D measurement using SfM, Journal of the Japan Society of Erosion Control Engineering, Vol. 72, No. 6, pp. 67-71, 2020.]
3. 3) 木本啓介,松田浩:中小橋梁の点検におけるSfM活用方法の比較・検証,実験力学,17巻4号,pp. 290-297. [Kimoto, K. and Matsuda, H.: Comparison and Verification of Utilizing Method Using SfM in Inspection of Medium and Short Span Bridges, The Japanese Society for Experimental Mechanics, Vol. 17, No. 4, pp. 290-297.]
4. 4) 長屋佑美,菊雅美:UAV-SfM/MVS測量における構造物の再現性向上のための最適条件の検討,土木学会論文集F3(土木情報学),76巻1号,pp. 32-41,2020. [Nagaya, Y. and Kiku, M.: Study on Optimum Conditions for Improving the Modeling of Structures in UAV-SfM/MVS Survey, Journal of Japan Society of Civil Engineers, Ser. F3 (civil engineering informatics), Vol. 76, No. 1, pp. 32-41, 2020.]
5. 5) 佐藤紗希,今井龍一,中村健二,塚田義典,新名恭仁:SfMの特性を活かした高精度点群データの生成実験,第77回土木学会年次学術講演会概要集,77巻,2022. [Sato, S., Imai, R., Nakamura, K., Tsukada, Y. and Niina, Y.: Generation experiment of the high-precision point cloud data utilized the characteristic of SfM, Japan Society of Civil Engineers 2022 Annual Meeting, Vol. 77, 2022.]