A Novel Approach for Concrete Crack and Spall Detection Based on Improved YOLOv8
Author:
Affiliation:
1. Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application, Harbin University of Science and Technology, China
2. Department of Computer Science, Chubu University, Japan
3. Shenzhen Polytechnic University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638682.3638705
Reference25 articles.
1. Multiple crack evaluation on concrete using a line laser thermography scanning system;Jang K.;Smart Struct. Syst,2018
2. Concrete crack identification using a UAV incorporating hybrid image processing;Kim H.;Sensors,2017
3. A novel hybrid approach for crack detection
4. Real-time Vehicle Detection, Tracking and Counting System Based on YOLOv7;Rouf M.A.;Embedded Selforganising Systems,2023
5. Automated assessment of cracks on concrete surfaces using adaptive digital image processing;Liu Y.;Smart Structures and Systems,2014
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1. 3D reconstruction and measurement of concrete spalling using near-field Photometric stereo and YOLOv8;Automation in Construction;2024-10
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