A Hybrid Approach for Pavement Crack Detection Using Mask R-CNN and Vision Transformer Model
Year: 2024
Type: article
Abstract: 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: Shorouq Alshawabkeh, Daojun Dong, Yao Cheng, Liping Li, Li Wu
Institution: China University of Geosciences
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404601949