Research on pavement crack detection based on improved YOLOv4
Author:
Affiliation:
1. The college of electrical engineering, Zhejiang University of Water Resources and Electric Power,Hangzhou,China
2. The Thomas D. Larson Pennsylvania Transportation Institute, The Pennsylvania State University,University Park,PA,USA,16802
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548899.pdf?arnumber=10548899
Reference59 articles.
1. Evaluating the Effects of RA on the Rheological Properties and Aging Susceptibility of RAM Asphalt
2. Research on information management of Airport pavement quality based on BIM and GIS integration
3. Compaction Characteristics of a Foam Asphalt Hot In-Place Recycling Asphalt Mixture
4. Analysis of the viscosity and self-healing performance of warm-mix recycled asphalt: A method combining molecular dynamics simulations and laboratory tests
5. Pavement Crack Detection from UAV Images Using YOLOv4
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Real-Time Pavement Crack Detection Method Integrating Lightweight YOLO Model and Multi-Scale Attention Mechanism;2025 2nd International Conference on Digital Image Processing and Computer Applications (DIPCA);2025-04-25
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