3D Buried Utility Location Using A Marching-Cross-Section Algorithm for Multi-Sensor Data Fusion

3D Buried Utility Location Using A Marching-Cross-Section Algorithm for Multi-Sensor Data Fusion

We address the problem of accurately locating buried utility segments by fusing data from multiple sensors using a novel Marching-Cross-Section (MCS) algorithm. Five types of sensors are used in this work: Ground Penetrating Radar (GPR), Passive Magnetic Fields (PMF), Magnetic Gradiometer (MG), Low...

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Bibliographic Details
Main Authors: Dou, Qingxu, Wei, Lijun, Magee, Derek R., Atkins, Phil R., Chapman, David N., Curioni, Giulio, Goddard, Kevin F., Hayati, Farzad, Jenks, Hugo, Metje, Nicole, Muggleton, Jennifer, Pennock, Steve R., Rustighi, Emiliano, Swingler, Steven G., Rogers, Christopher D. F., Cohn, Anthony G.
Format: Online
Language:English
Published: MDPI 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134486/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134486/

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