首页|Automatic recognition and tracking of highway layer-interface using Faster R-CNN
Automatic recognition and tracking of highway layer-interface using Faster R-CNN
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NSTL
Elsevier
Ground Penetrating Radar (GPR) is a non-destructive and efficient underground survey equipment, which has been widely used in the field of highway safety.Nowadays, it is common to manually interpret the GPR data detected on the highway to find the layer-interface. But, its efficiency and accuracy can no longer meet the needs of various engineering projects. In this manuscript, we propose a geological layer-interface detection framework based on Faster R-CNN, which is used to ensure the safety of highway traffic. The framework can realize the needs of end-to-end and real-time detection. We conduct a lot of experiments on the dataset of highway GPR profile, and the results show that the framework based on Faster R-CNN can be highly effectively used for highway underground layer-interface detection, and the precision of the model can reach 98.30%.
NSTL
Elsevier
