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3D object reconstruction based on deep neural networks has gained increasing attention in recent years. However, 3D reconstruction of underground objects to generate point cloud maps remains a challenge. Ground Penetrating Radar (GPR) is…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Jinchang Zhang , Guoyu Lu

Ground Penetrating Radar (GPR) has been widely used to estimate the healthy operation of some urban roads and underground facilities. When identifying subsurface anomalies by GPR in an area, the obtained data could be unbalanced, and the…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Xiren Zhou , Shikang Liu , Ao Chen , Yizhan Fan , Huanhuan Chen

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). Many previous researches focus on GPR image-based feature…

Computer Vision and Pattern Recognition · Computer Science 2021-05-19 Jinglun Feng , Liang Yang , Ejup Hoxha , Diar Sanakov , Stanislav Sotnikov , 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 underground scene. The two biggest challenges in GPR-based…

Signal Processing · Electrical Eng. & Systems 2021-05-18 Jinglun Feng , Liang Yang , Jizhong Xiao

The forward full-wave modeling of ground-penetrating radar (GPR) facilitates the understanding and interpretation of GPR data. Traditional forward solvers require excessive computational resources, especially when their repetitive…

Image and Video Processing · Electrical Eng. & Systems 2022-10-05 Qiqi Dai , Yee Hui Lee , Hai-Han Sun , Jiwei Qian , Genevieve Ow , Mohamed Lokman Mohd Yusof , Abdulkadir C. Yucel

Ground Penetrating Radar (GPR) is widely used as a non-destructive approach to estimate buried utilities. When the GPR's detecting direction is perpendicular to a pipeline, a hyperbolic characteristic would be formed on the GPR B-scan…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Xiren Zhou , Qiuju Chen , Shengfei Lyu , Huanhuan Chen

Subsurface evaluation of railway tracks is crucial for safe operation, as it allows for the early detection and remediation of potential structural weaknesses or defects that could lead to accidents or derailments. Ground Penetrating Radar…

Machine Learning · Computer Science 2025-01-22 Farhad Kooban , Aleksandra Radlińska , Reza Mousapour , Maryam Saraei

Ground penetrating radar (GPR) has become a rapid and non-destructive solution for road subsurface distress (RSD) detection. However, recognizing RSD from GPR images is labor-intensive and heavily relies on the expertise of inspectors. Deep…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Chang Peng , Bao Yang , Meiqi Li , Ge Zhang , Hui Sun , Zhenyu Jiang

Ground penetrating radar (GPR) based localization has gained significant recognition in robotics due to its ability to detect stable subsurface features, offering advantages in environments where traditional sensors like cameras and LiDAR…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Pengyu Zhang , Xieyuanli Chen , Yuwei Chen , Beizhen Bi , Zhuo Xu , Tian Jin , Xiaotao Huang , Liang Shen

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 underground scene. One of the biggest challenges in GPR based…

Signal Processing · Electrical Eng. & Systems 2020-08-21 Jinglun Feng , Liang Yang , Haiyan Wang , Yifeng Song , Jizhong Xiao

Ground Penetrating Radar (GPR) is a widely used Non-Destructive Testing (NDT) technique for subsurface exploration, particularly in infrastructure inspection and maintenance. However, conventional interpretation methods are often limited by…

Signal Processing · Electrical Eng. & Systems 2026-01-15 Meiyan Kang , Shizuo Kaji , Sang-Yun Lee , Taegon Kim , Hee-Hwan Ryu , Suyoung Choi

Terrain classification is an important problem for mobile robots operating in extreme environments as it can aid downstream tasks such as autonomous navigation and planning. While RGB cameras are widely used for terrain identification,…

Robotics · Computer Science 2024-04-16 Anja Sheppard , Jason Brown , Nilton Renno , Katherine A. Skinner

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 construction. This paper presents a novel robotic system to…

Image and Video Processing · Electrical Eng. & Systems 2022-04-21 Jinglun Feng , Liang Yang , Ejup Hoxha , Jiang Biao , Jizhong Xiao

Ground-penetrating radar (GPR) combines depth resolution, non-destructive operation, and broad material sensitivity, yet it has seen limited use in diagnosing building envelopes. The compact geometry of wall assemblies, where reflections…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Ahmed Nirjhar Alam , Wesley Reinhart , Rebecca Napolitano

This research proposes a Ground Penetrating Radar (GPR) data processing method for non-destructive detection of tunnel lining internal defects, called defect segmentation. To perform this critical step of automatic tunnel lining detection,…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Senlin Yang , Zhengfang Wang , Jing Wang , Anthony G. Cohn , Jiaqi Zhang , Peng Jiang , Peng Jiang , Qingmei Sui

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to…

Computer Vision and Pattern Recognition · Computer Science 2018-03-23 Minh-Tan Pham , Sébastien Lefèvre

Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. Many of the detection algorithms applied to this task are supervised and…

Computer Vision and Pattern Recognition · Computer Science 2016-12-13 Daniël Reichman , Leslie M. Collins , Jordan M. Malof

Building Information Modeling (BIM) is increasingly used in the construction industry, but existing studies often ignore embedded rebars. Ground Penetrating Radar (GPR) provides a potential solution to develop as-built BIM with surface…

Computer Vision and Pattern Recognition · Computer Science 2021-11-01 Zhongming Xiang , Ge Ou , Abbas Rashidi

Ground-penetrating radar (GPR) is a mature geophysical method that has gained increasing popularity in planetary science over the past decade. GPR has been utilised both for Lunar and Martian missions providing pivotal information regarding…

A DNN architecture referred to as GPRInvNet was proposed to tackle the challenges of mapping the ground-penetrating radar (GPR) B-Scan data to complex permittivity maps of subsurface structures. The GPRInvNet consisted of a trace-to-trace…

Computer Vision and Pattern Recognition · Computer Science 2021-09-28 Bin Liu , Yuxiao Ren , Hanchi Liu , Hui Xu , Zhengfang Wang , Anthony G. Cohn , Peng Jiang
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