GPR for road inspection: Georeferencing and efficient approach to data processing and visualization

M. Solla, X. Núñez-Nieto, M. Varela-González, J. Martínez-Sánchez, P. Arias
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引用次数: 6

Abstract

GPR is a recommendable non-destructive technique for thickness measurement of pavement layers because data acquisition takes place at normal traffic speeds, making GPR a cost-effective technique. On the other hand, the large collected data, when the GPR system is mounted on a moving vehicle, is difficult to process. Given that processing is conducted by qualified practitioners, it is a key to obtain software tools that allow for accurate thickness measurements and fast processing times. In this paper, an easy to use and intuitive tool for pavement thickness measurement is presented. Exploiting the power of C++ programming language and the Qt framework advantages for developing applications with graphic interface, a simple and intuitive tool for a qualified worker is implemented in order to reduce the processing times and to give information at the earliest possible moment. Furthermore, the software provides a visualization application for the georeferencing of the field GPR data by using additional GPS (Global Positioning System) data. Given that the GPR acquisition software can connect to an external GPS for trace tagging, NMEA synchronization was used in this case. If the connection is set properly, the GPR acquisition software creates a number of files in order to get the GPR traces paired with a GGA sentence. After post-processing, all the traces are referenced to a SBET (Smooth Best Estimated Trajectory).
道路检测用探地雷达:地理参考和有效的数据处理和可视化方法
探地雷达是一种值得推荐的非破坏性的路面厚度测量技术,因为数据采集是在正常的交通速度下进行的,这使得探地雷达技术具有成本效益。另一方面,当GPR系统安装在移动车辆上时,收集的大量数据难以处理。考虑到加工是由合格的从业人员进行的,获得允许精确厚度测量和快速加工时间的软件工具是关键。本文介绍了一种简便、直观的路面厚度测量工具。利用c++编程语言的强大功能和Qt框架在开发具有图形界面的应用程序方面的优势,为合格的工作人员实现了一个简单直观的工具,以减少处理时间并在尽可能早的时刻提供信息。此外,该软件还提供了一个可视化应用程序,通过使用额外的GPS(全球定位系统)数据对现场GPR数据进行地理参考。考虑到GPR采集软件可以连接到外部GPS进行跟踪标记,在这种情况下使用NMEA同步。如果连接设置正确,GPR采集软件会创建一些文件,以便获得与GGA语句配对的GPR迹线。经过后处理后,所有轨迹都被引用到SBET(平滑最佳估计轨迹)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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