A Hybrid Approach for Pavement Crack Detection Using Mask R-CNN and Vision Transformer Model
Detecting pavement cracks is critical for road safety and infrastructure management. Traditional methods, relying on manual inspection and basic image processing, are time-consuming and prone to errors. Recent deep-learning (... | Find, read and cite all the research you need on Tech Science Press
Authors
- Yao Cheng (ORCID: https://orcid.org/0000-0001-7116-0747)
- Liping Li (ORCID: https://orcid.org/0000-0003-0589-5336)
- Wu Li (ORCID: https://orcid.org/0000-0002-2175-4579)
- Daojun Dong
- Shorouq Alshawabkeh
Institutions
- China University of Geosciences (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-11-21
- DOI
- https://doi.org/10.32604/cmc.2024.057213
- Citations
- 13
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 3.39