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UAV Crack Detection for Bridge Safety by jameskaren2004 is a document available to read on EtoBox.
This research paper presents a UAV-based approach for crack detection in concrete bridges, integrating deep learning algorithms such as CNN, RCNN, Fast RCNN, Faster RCNN, and YOLO to enhance inspection accuracy and efficiency. The study highlights the limitations of traditional inspection methods and demonstrates the effectiveness of UAVs in accessing hard-to-reach areas while utilizing advanced algorithms to improve structural health monitoring. Experimental results indicate significant improvements in cra
- Author
- jameskaren2004
- Language
- EN