PhD Thesis topic: Detection and localization of conical shapes in georadar images
Objectives
Developing a universal geolocation method, in a network configuration scheme, independently with respect to the materials involved in network.
Improving the security of underground networks (telecommunications, gas, water, electricity, etc.).
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Technologies and partners
Ground Penetrating Radar (GPR) imaging systems Electromagnetic waves, Vibro-acoustics, Radio Frequency Identification (RFID).
in collaboration with GDF SUEZ (CRIGEN) and Telecom ParisTech thanks to Project G4M (Geodetection Multi Materials, Multi Trades, funded by the 16th FUI).
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Selected publications
[Journal] Hoarau Quentin, Ginolhac G., Atto A. M., Nicolas J.-M.,
Robust Adaptive Detection of Buried Pipes using GPR, Elsevier Signal Processing (SigPro), (July 2016).
[Conference] Hoarau Quentin, Ginolhac G., Atto A. M., Nicolas J.-M., Ovarlez J.-P., Robust Adaptive Detection of Buried Pipes using GPR, European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016.
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