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Subsurface Infrastructure Asset Monitoring with Geophysical Sensors and Augmented Reality

DRYVER HUSTON, TIAN XIA, MAURICIO PEREIRA, DYLAN BURNS, DANIEL ORFEO

Abstract


Monitoring and assessing the condition and location of subsurface infrastructure is challenging, primarily because the assets are buried underground, often in uncertain locations and often in congested 3-D configurations. Geophysical instruments, such as ground penetrating radar, acoustic pipe locating and leak detection, and magnetic detection are nondestructive mobile sensors that detect, locate and help to assess subsurface features from electromagnetic and acoustic wave interactions. Difficulties with collecting, processing and interpreting the data are due to inaccurate localization techniques for registering the position of the sensors, the mixed formats of the data streams and legacy mapping information, and the large volumes of raw data. This paper will describe how augmented reality tools can alleviate some of these issues with the following techniques: 1. Use photogrammetric techniques combined with above-ground urban 3-D surface maps to localize the position of mobile sensors, even in urban canyons with poor GPS reception; 2. Presentation of 3-D data to users on sight in an augmented reality format, both to aid in data collection and post-collection data presentation; Presented will be results from field tests deploying various aspects of the technology, including ground penetrating radar and acoustic pipe locating of urban subsurface utilities combined with Unity-based augmented reality instruments.


DOI
10.12783/shm2019/32344

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