most citedGPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet

2 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2021★ 2 cited

Automatic Impact-sounding Acoustic Inspection of Concrete Structure

Jinglun Feng, Hua Xiao, Ejup Hoxha +3

Impact sounding signal has been shown to contain information about structural integrity flaws and subsurface objects from previous research. As non-destructive testing (NDT) method…

eess.IV2021

Robotic Inspection of Underground Utilities for Construction Survey Using a Ground Penetrating Radar

Jinglun Feng, Liang Yang, Ejup Hoxha +2

Ground Penetrating Radar (GPR) is a very useful non-destructive evaluation (NDE) device for locating and mapping underground assets prior to digging and trenching efforts in constr…

eess.SP2021★ 1 cited

Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation

Jinglun Feng, Liang Yang, Jizhong Xiao

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect subsurface objects (i.e., rebars, utility pipes) and reveal the under…

cs.CV2020★ 2 cited

GPR-based Model Reconstruction System for Underground Utilities Using GPRNet

Jinglun Feng, Liang Yang, Ejup Hoxha +3

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) instruments to detect and locate underground objects (i.e., rebars, utility pipes). Man…

eess.SP2020★ 2 cited

GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet

Jinglun Feng, Liang Yang, Haiyan Wang +2

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect the subsurface objects (i.e. rebars, utility pipes) and reveal the un…