Hybrid Vision Transformer and Convolutional Network for Automated Road Damage Detection
The possibility to monitor transportation safety and provide smart infrastructure management depends on the efficient and precise detection of the damage of road surfaces. Nevertheless, traditional convolutional models are prone to the failure to capt
Authors
- Abu Shahed Shah. Md. Nazmul Arefin
- Shah Mohd. Ishtiaque Ahammed Khan Ishti (ORCID: https://orcid.org/0000-0002-4942-7780)
- Md Salah Uddin (ORCID: https://orcid.org/0000-0001-8092-4243)
- Abu Kausar (ORCID: https://orcid.org/0000-0002-1919-2116)
- Md. Moshiul Islam (ORCID: https://orcid.org/0000-0001-7588-6414)
- Kazi Jahid Hasan
Institutions
- Daffodil International University (BD)
- Graz University of Technology (AT)
Publication Details
- Published
- 2025-10-13
- DOI
- https://doi.org/10.22541/au.176035713.38000317/v1
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00