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We address the problem of robot localization using ground penetrating radar (GPR) sensors. Current approaches for localization with GPR sensors require a priori maps of the system's environment as well as access to approximate global…

机器人学 · 计算机科学 2021-03-30 Alexander Baikovitz , Paloma Sodhi , Michael Dille , Michael Kaess

Ground Penetrating Radar (GPR) has been widely used in pipeline detection and underground diagnosis. In practical applications, the characteristics of the GPR data of the detected area and the likely underground anomalous structures could…

计算机视觉与模式识别 · 计算机科学 2022-11-29 Ao Chen , Xiren Zhou , Yizhan Fan , Huanhuan Chen

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…

信号处理 · 电气工程与系统科学 2021-05-18 Jinglun Feng , Liang Yang , Jizhong Xiao

There has been exciting recent progress in using radar as a sensor for robot navigation due to its increased robustness to varying environmental conditions. However, within these different radar perception systems, ground penetrating radar…

机器人学 · 计算机科学 2021-07-19 Alexander Baikovitz , Paloma Sodhi , Michael Dille , Michael Kaess

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…

计算机视觉与模式识别 · 计算机科学 2024-09-26 Jinchang Zhang , Guoyu Lu

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…

信号处理 · 电气工程与系统科学 2020-08-21 Jinglun Feng , Liang Yang , Haiyan Wang , Yifeng Song , Jizhong Xiao

Visual place recognition (VPR) aims to determine the general geographical location of a query image by retrieving visually similar images from a large geo-tagged database. To obtain a global representation for each place image, most…

计算机视觉与模式识别 · 计算机科学 2025-05-27 Tong Jin , Feng Lu , Shuyu Hu , Chun Yuan , Yunpeng Liu

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…

计算机视觉与模式识别 · 计算机科学 2022-11-23 Xiren Zhou , Shikang Liu , Ao Chen , Yizhan Fan , Huanhuan Chen

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…

计算机视觉与模式识别 · 计算机科学 2026-04-15 Chang Peng , Bao Yang , Meiqi Li , Ge Zhang , Hui Sun , Zhenyu Jiang

Recognising previously visited locations is an important, but unsolved, task in autonomous navigation. Current visual place recognition (VPR) benchmarks typically challenge models to recover the position of a query image (or images) from…

计算机视觉与模式识别 · 计算机科学 2022-02-14 Anil Ozdemir , Mark Scerri , Andrew B. Barron , Andrew Philippides , Michael Mangan , Eleni Vasilaki , Luca Manneschi

Autonomous agents such as cars, robots and drones need to precisely localize themselves in diverse environments, including in GPS-denied indoor environments. One approach for precise localization is visual place recognition (VPR), which…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Ni Wang , Zihan You , Emre Neftci , Thorben Schoepe

In this work, we propose the use of Ground Penetrating Radar (GPR) for rover localization on Mars. Precise pose estimation is an important task for mobile robots exploring planetary surfaces, as they operate in GPS-denied environments.…

机器人学 · 计算机科学 2025-11-04 Anja Sheppard , Katherine A. Skinner

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,…

机器人学 · 计算机科学 2024-04-16 Anja Sheppard , Jason Brown , Nilton Renno , Katherine A. Skinner

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…

计算机视觉与模式识别 · 计算机科学 2016-12-13 Daniël Reichman , Leslie M. Collins , Jordan M. Malof

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…

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…

计算机视觉与模式识别 · 计算机科学 2021-05-19 Jinglun Feng , Liang Yang , Ejup Hoxha , Diar Sanakov , Stanislav Sotnikov , Jizhong Xiao

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…

机器学习 · 计算机科学 2025-01-22 Farhad Kooban , Aleksandra Radlińska , Reza Mousapour , Maryam Saraei

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…

图像与视频处理 · 电气工程与系统科学 2022-04-21 Jinglun Feng , Liang Yang , Ejup Hoxha , Jiang Biao , Jizhong Xiao

In autonomous driving, robust place recognition is critical for global localization and loop closure detection. While inter-modality fusion of camera and LiDAR data in multimodal place recognition (MPR) has shown promise in overcoming the…

计算机视觉与模式识别 · 计算机科学 2026-02-24 Jingyi Xu , Zhangshuo Qi , Zhongmiao Yan , Xuyu Gao , Qianyun Jiao , Songpengcheng Xia , Xieyuanli Chen , Ling Pei

When performing robot/vehicle localization using ground penetrating radar (GPR) to handle adverse weather and environmental conditions, existing techniques often struggle to accurately estimate distances when processing B-scan images with…

计算机视觉与模式识别 · 计算机科学 2025-11-24 Huaichao Wang , Xuanxin Fan , Ji Liu , Haifeng Li , Dezhen Song
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