Road inspection using full-wave inversion of far-field ground-penetrating radar data

Mahmoudzadeh, Mohammad; Got, Jean-Baptiste; Lambot, Sébastien; Grégoire, Colette

doi:10.1109/iwagpr.2013.6601522

Cited by 12 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It enables surveying the sub-surface to investigate underground utilities such as concrete and asphalt. GPR has proved its potential for road inspections, having several advantages, such as quasi-continuous measurements and the ability to map the sub-layers (Mahmoudzadeh et al, 2013).…”

Section: Roadsmentioning

confidence: 99%

Data-driven Transport Infrastructure Maintenance

2021

International Transport Forum Policy Papers

View full text Add to dashboard Cite

Section: Roadsmentioning

confidence: 99%

Data-driven Transport Infrastructure Maintenance

2021

International Transport Forum Policy Papers

View full text Add to dashboard Cite

“…There are scientific papers showing that ground penetrating radar is a tool used in various applications [30,[36][37][38]40], as well as a promising technology in the detection of landmines AP when we include detection algorithms [41][42][43][44]. Regardless of the application, Ground Penetrating Radars are designed under two operating principles [45,46], impulse or continuous wave.…”

Section: Ground Penetrating Radarsmentioning

confidence: 99%

Antipersonnel landmines in the Colombian internal conflict: implications for technology development

Uribe

Sahli

Sellier

2020

DYNA

View full text Add to dashboard Cite

The effort of universities, companies, and the state in Colombia to face home-made AP landmines has generated useful solutions and studies for many projects developed in the last decade, including demining processes in Colombia. Antipersonnel mines have changed in the last 15 years, due to the intermittent nature of our internal conflict. For example, as Descontamina Colombia mentions on its website, non-state armed groups cut the detonator containing the primary explosive to decrease the metal in the mine. This paper shows the aspects of the conflict that have affected humanitarian demining in Colombia, which help in the design and construction of technological devices. This article does not attempt to describe each of the typical technologies in humanitarian demining processes, but rather to show the characteristics considered in the design of two detection devices aimed at detecting home-made AP landmines.

show abstract

“…To overcome the limitations of manual inspection, a variety of automated road surface inspection methods have been proposed [7,8]. Representative technologies include vision-based method [4,9,10,11,12], laser scanning [13], ground penetration radar (GPR) [4,14], natural lighting method [15] and a combination of multiple sensors [16]. For example, Huang and Xu [10] developed a road surface inspection method based on the grid cell analysis of the collected grey images of road surface.…”

Section: Literature Reviewmentioning

confidence: 99%

Automated Road Damage Recognition based on the Sparse Coding Analysis of Vehicle Vibrations

Wang

2019

MATEC Web Conf.

View full text Add to dashboard Cite

Road pavement damage inspection is a critical yet challenging task. At present, road pavement damage inspection is usually done by DOTs using a manual process. Another emerging method of inspection is via the use of sensors, such as the use of LiDAR. This study proposes an automated road damage recognition method via the Sparse Coding analysis of vehicle vibrations. Sparse Coding is a class of unsupervised methods that learn data patterns based on extracted overcomplete bases. Unlike frequency domain-based analysis, e.g. Spectral Analysis, Sparse Coding analysis preserves the temporal information of the vehicle vibration that contains important patterns related to road pavement damage. A preliminary study was performed with vehicle vibration data collected in College Station, Texas. Results confirm the feasibility of the proposed method in automated road pavement damage recognition. More data points should be collected in the future to further benchmark the effectiveness of the proposed method.

show abstract

Road inspection using full-wave inversion of far-field ground-penetrating radar data

Cited by 12 publications

References 19 publications

Data-driven Transport Infrastructure Maintenance

Data-driven Transport Infrastructure Maintenance

Antipersonnel landmines in the Colombian internal conflict: implications for technology development

Automated Road Damage Recognition based on the Sparse Coding Analysis of Vehicle Vibrations

Contact Info

Product

Resources

About