Moisture Content Evaluation for Road Surfaces Monitoring by GPR Image and Data Processing on Mobile Platforms

Moisture Content Evaluation for Road Surfaces Monitoring by GPR Image and Data Processing on Mobile Platforms
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DOI:
10.1109/ficloud.2015.44
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发表时间:
2015-08
期刊:
2015 3rd International Conference on Future Internet of Things and Cloud
影响因子:
--
通讯作者:
F. Benedetto;A. Tedeschi
F. Benedetto;A. Tedeschi
中科院分区:
其他
文献类型:
--
作者:
F. Benedetto;A. Tedeschi

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这项工作介绍了一个针对路面监测的含水量评估的移动的应用程序。我们的应用程序在Android平台上实时利用探地雷达(GPR)图像和数据处理。探地雷达是土木工程中用于路面监测的最先进技术之一,而结构层中的水侵入是路面损坏的最相关原因之一。这项工作的新奇(这是我们的应用程序的力量)是显示关于这些隐藏条件的GPR诊断的一致性,在智能手机和平板电脑上实现GPR图像和数据处理。
This work introduces a mobile application for moisture content evaluation aimed at road-surfaces monitoring. Our application exploits Ground Penetrating Radar (GPR) image and data processing in real-time on Android platforms. GPR is one of the most advanced technology in civil engineering applications for road pavement monitoring, while water intrusion in structural layers is one of the most relevant causes of damage of road-surfaces. The novelty of this work (that is the power of our application) is to show the consistency of the GPR diagnosis regarding these hidden conditions, implementing GPR image and data processing on smartphones and tablet computers.