5 citations · 14 across the 30 of their papers we have counts for
4 papers · 1 filter
Generative Damage Learning for Concrete Aging Detection using Auto-flight Images
Takato Yasuno, Akira Ishii, Junichiro Fujii +2
In order to monitor the state of large-scale infrastructures, image acquisition by autonomous flight drones is efficient for stable angle and high-quality images. Supervised learni…
Synthetic Image Augmentation for Damage Region Segmentation using Conditional GAN with Structure Edge
Takato Yasuno, Michihiro Nakajima, Tomoharu Sekiguchi +3
Recently, social infrastructure is aging, and its predictive maintenance has become important issue. To monitor the state of infrastructures, bridge inspection is performed by huma…
Per-pixel Classification Rebar Exposures in Bridge Eye-inspection
Takato Yasuno, Nakajima Michihiro, Noda Kazuhiro
Efficient inspection and accurate diagnosis are required for civil infrastructures with 50 years since completion. Especially in municipalities, the shortage of technical staff and…
Natural Disaster Classification using Aerial Photography Explainable for Typhoon Damaged Feature
Takato Yasuno, Masazumi Amakata, Masahiro Okano
Recent years, typhoon damages has become social problem owing to climate change. In 9 September 2019, Typhoon Faxai passed on the Chiba in Japan, whose damages included with electr…