MAPPING THE UNDERWORLD: MULTI-SENSOR DEVICE CREATION, ASSESSMENT, PROTOCOLS

Lead Research Organisation: University of Leeds
Department Name: Sch of Computing

Abstract

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Organisations

Publications

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Chen H (2010) Probabilistic Conic Mixture Model and its Applications to Mining Spatial Ground Penetrating Radar Data in -

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Chen H (2010) Buried Utility Pipeline Mapping based on Street Survey and Ground Penetrating Radar in Frontiers in Artificial Intelligence and Applications

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Dou Q (2017) Real-Time Hyperbola Recognition and Fitting in GPR Data in IEEE Transactions on Geoscience and Remote Sensing

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Royal A (2011) Site Assessment of Multiple-Sensor Approaches for Buried Utility Detection in International Journal of Geophysics

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Dutta R (2013) 3D mapping of buried underworld infrastructure using dynamic Bayesian network based multi-sensory image data fusion in Journal of Applied Geophysics

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Bilal M (2018) Inferring the most probable maps of underground utilities using Bayesian mapping model in Journal of Applied Geophysics

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Chen H (2011) Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach in Proceedings of the 22nd International Joint Conference on Artificial Intelligence

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Dou Q (2016) 3D Buried Utility Location Using A Marching-Cross-Section Algorithm for Multi-Sensor Data Fusion. in Sensors (Basel, Switzerland)

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Rogers C (2012) Condition assessment of the surface and buried infrastructure - A proposal for integration in Tunnelling and Underground Space Technology

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Hao T (2012) Condition assessment of the buried utility service infrastructure in Tunnelling and Underground Space Technology

 
Description In this project at the University of Leeds we investigated how to interpret and integrate sensor data relating to observations of underground utility assets with a view to producing automated mapping of these assets. We have made advances along a number of fronts:

- new and better methods to interpret vibro acoustic data

- new and better methods to interpret Ground Pentrating Radar data

- new and better methods to interpret other electro magnetic wave sensor data

- new methods to combine the results of sensor interpretations to produce automated maps of buried utility apparatus
Exploitation Route The results of this project were used in the follow on Assessing the Underworld project (EP/K021699/1) and the EU FP7 NetTUN project (grant agreement 280712). Some of papers related to this project have been cited may times by researchers at other institutions. In general, we have provided methods to interpret sensor data, in particular GPR data, which is a very widely used sensor in multiple domains, not just underground utility detection (for example in tunnel boring machines, mine detection and other applications).
Sectors Construction,Transport,Other
URL http://mappingtheunderworld.ac.uk/
 
Description We have conducted investigations with real world data for a utility survey company using our techniques with a view to help automate their utility surveys.
First Year Of Impact 2018
Sector Construction
Impact Types Economic
 
Description ATU
Amount £5,782,838 (GBP)
Funding ID EP/K021699/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 06/2013 
End 05/2017
 
Description Intelligent Excavation
Amount £164,000 (GBP)
Organisation Department of Transport 
Department Highways Agency
Sector Public
Country United Kingdom
Start 09/2017 
End 11/2017
 
Description MTU-2
Amount £389,225 (GBP)
Funding ID EP/F06585X/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 03/2009 
End 08/2013
 
Description Nettun
Amount € 9,974,600 (EUR)
Funding ID 280712 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 09/2012 
End 02/2017