A new generation of instruments capable of detecting plastic landmines aims to increase operator safety and productivity for humanitarian demining. The complex environmental conditions require the measurements of several physical parameters to enhance the detection of plastic and metal landmines by metal detectors and ground penetrating radars mounted on a robotic platform. The architecture of the multisensor robotic platform, based on the Industry 4.0 paradigm, is described, and an example is provided which describes how to exploit the multiple sensor information with experiments carried out in a test bed with landmine simulants.

Design of a robotic platform for landmine detection based on Industry 4.0 paradigm with data sensors integration / Bossi, Luca; Falorni, Pierluigi; Pochanin, Gennadiy; Bechtel, Timothy; Sinton, Jack; Crawford, Fronefield; Ogurtsova, Tetiana; Ruban, Vadym; Capineri, Lorenzo. - ELETTRONICO. - (2020), pp. 16-20. (Intervento presentato al convegno 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT) [10.1109/MetroInd4.0IoT48571.2020.9138227].

Design of a robotic platform for landmine detection based on Industry 4.0 paradigm with data sensors integration

Bossi, Luca;Falorni, Pierluigi;Capineri, Lorenzo
2020

Abstract

A new generation of instruments capable of detecting plastic landmines aims to increase operator safety and productivity for humanitarian demining. The complex environmental conditions require the measurements of several physical parameters to enhance the detection of plastic and metal landmines by metal detectors and ground penetrating radars mounted on a robotic platform. The architecture of the multisensor robotic platform, based on the Industry 4.0 paradigm, is described, and an example is provided which describes how to exploit the multiple sensor information with experiments carried out in a test bed with landmine simulants.
2020
IEEE Xplore
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
Goal 9: Industry, Innovation, and Infrastructure
Bossi, Luca; Falorni, Pierluigi; Pochanin, Gennadiy; Bechtel, Timothy; Sinton, Jack; Crawford, Fronefield; Ogurtsova, Tetiana; Ruban, Vadym; Capineri, Lorenzo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1201446
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