GPR/GPS/IMU system as buried objects locator

Ferrara, Vincenzo; Pietrelli, Andrea; Chicarella, Simone; Pajewski, Lara

doi:10.1016/j.measurement.2017.05.014

Cited by 22 publications

(10 citation statements)

References 15 publications

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“…WG 1 focused on the development of novel GPR instrumentation. Within this WG, novel equipment was designed, implemented and tested [6][7][8][9][10][11]. Moreover, new tests were proposed for checking the performance and stability of GPR systems.…”

Section: Cost Action Tu1208 and The Open Database Of Radargrams Initimentioning

confidence: 99%

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

Dérobert

Pajewski

2018

Remote Sensing

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This paper aims to present a wide dataset of ground penetrating radar (GPR) profiles recorded on a full-size geophysical test site, in Nantes (France). The geophysical test site was conceived to reproduce objects and obstacles commonly met in the urban subsurface, in a completely controlled environment; since the design phase, the site was especially adapted to the context of radar-based techniques. After a detailed description of the test site and its building process, the GPR profiles included in the dataset are presented and commented on. Overall, 67 profiles were recorded along eleven parallel lines crossing the test site in the transverse direction; three pulsed radar systems were used to perform the measurements, manufactured by different producers and equipped with various antennas having central frequencies from 200 MHz to 900 MHz. An archive containing all profiles (raw data) is enclosed to this paper as supplementary material. This dataset is the core part of the Open Database of Radargrams initiative of COST (European Cooperation in Science and Technology) Action TU1208 "Civil engineering applications of Ground Penetrating Radar". The idea beyond such initiative is to share with the scientific community a selection of interesting and reliable GPR responses, to enable an effective benchmark for direct and inverse electromagnetic approaches, imaging methods and signal processing algorithms. We hope that the dataset presented in this paper will be enriched by the contributions of further users in the future, who will visit the test site and acquire new data with their GPR systems. Moreover, we hope that the dataset will be made alive by researchers who will perform advanced analyses of the profiles, measure the electromagnetic characteristics of the host materials, contribute with synthetic radargrams obtained by modeling the site with electromagnetic simulators, and more in general share results achieved by applying their techniques on the available profiles.

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Section: Cost Action Tu1208 and The Open Database Of Radargrams Initimentioning

confidence: 99%

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

Dérobert

Pajewski

2018

Remote Sensing

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“…This is a common practice for geological surveys [5] and in archeological prospections [6]. The main limitation of GPS is its poor accuracy (5-6 m) [7]. Differential GPS can be a solution, but its cost can be prohibitive in many GPR applications.…”

Section: Introductionmentioning

confidence: 99%

“…A GPS can be integrated with an inertial measurement unit (IMU), but the fusion between IMU e GPS data is not trivial because of drifts, delays, and measurement errors [7,8,9]. Indeed, IMU is often used just for detecting the orientation of the antennas [7]. A laser theodolite tracking the GPR is another possible solution that has been tested [10].…”

Section: Introductionmentioning

confidence: 99%

A GPR Able to Detect Its Own Position Using Fixed Corner Reflectors on Surface

Miccinesi

Pieraccini

2021

IEEE Trans. Geosci. Remote Sensing

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Ground penetrating radar (GPR) systems are equipment able to acquire underground images scanning the surface of the soil/pavement under investigation. Usually GPR records its own position along the scan line using a mechanical odometer, i.e. a rolling wheel in contact with the ground. Unfortunately, this simple and cheap solution can be not effective on uneven terrains. In this paper a completely different solution is proposed for retrieving the radar position along the scan. An additional couple of transmitting/receiving (TX/RX) antennas detects the distance of one or two corner reflectors (CR). As the signal backscattered by the CR appears in GPR trace (with a suitable delay for separating air and ground signals) the position data are co-registered in the radar trace itself and no external synchronization is necessary. The technique has been successfully tested both for detecting the position of the radar along a line (onedimensional case), and on a surface (two-dimensional case).

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“…However, as most of the underground surveys in Hong Kong are carried out in urban areas due to tall buildings and cloudy weather, the GPS signal would be unstable if using the GPS real-time kinematic (RTK) method for real-time positioning. Studies have improved the positioning performance by combining GNSS and the inertial measurement unit (IMU) [7][8][9]. However, the size and cost of an IMU system is comparatively large, so it is less flexible for surveys in dense urban areas.…”

Section: Introductionmentioning

confidence: 99%

GPR Virtual Guidance System for Subsurface 3D Imaging

et al. 2021

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Three-dimensional GPR imaging requires evenly and densely distributed measurements, ideally collected without the need for ground surface markings, which is difficult to achieve in large-scale surveys. In this study, a guidance system was developed to guide the GPR operator to walk along a predesigned traverse, analogous to the flight path design of an airborne drone. The guidance system integrates an auto-track total station unit (ATTS), and by estimating the real-time offset angle and distance, guidance corrections can be provided to the operator in real time. There are two advantages: (1) reduced survey time as grid marking on the ground is no longer needed and (2) accurate positioning of each traverse. Lab and field experiments were conducted in order to validate the guidance system. The results show that with the guidance system, the survey paths were better defined and followed in terms of feature connectivity and resolution of images, and the C-scans generated were closer to the real subsurface world.

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GPR/GPS/IMU system as buried objects locator

Cited by 22 publications

References 15 publications

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

A GPR Able to Detect Its Own Position Using Fixed Corner Reflectors on Surface

GPR Virtual Guidance System for Subsurface 3D Imaging

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