Open Access
ARTICLE
Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture
1 Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, 03063, Korea
2 AI Research Team, Scalawox, Seoul, 08589, Korea
3 R&D Team, Raon Data, Seoul, 03073, Korea
4 Department of Interaction Science, Sungkyunkwan University, Seoul, 03063, Korea
* Corresponding Author: Eunil Park. Email: