Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO

Abstract

AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we propose a novel framework that ...