Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification
PositiveArtificial Intelligence
A recent study has made significant strides in road subsurface distress detection using ground penetrating radar (GPR) and deep learning techniques. By creating a comprehensive 3D GPR dataset with over 2,100 samples, researchers have improved the automatic recognition of road defects, addressing previous challenges like data scarcity. This advancement not only enhances the efficiency of road maintenance but also promises safer travel for everyone, making it a noteworthy development in the field of infrastructure monitoring.
— via World Pulse Now AI Editorial System
