In a joint project, research partners across institutions combined specialties to develop a remotely-operable, multi-sensor, robotic device for the detection of land mines, unexploded ordnance (UXO), and improvised explosive devices (IEDs). The robotic detection device uses a novel subsurface radar with imaging and target classification to differentiate between dangerous landmines and harmless clutter. One important aspect of this project has been to develop a system for imaging the terrain and potential obstacles ahead of the moving vehicle. Three important tasks drive the need for this look-ahead imaging: obstacle avoidance, tripwire detection, holographic subsurface radar (HSR) image correction.

Machine Vision for Obstacle Avoidance, Tripwire Detection, and Subsurface Radar Image Correction on a Robotic Vehicle for the Detection and Discrimination of Landmines / Bartolini, A.; Crawford, F.; Bechtel, T.; Sallai, G.; Kuske, A.; Sinton, J.; Truskavetsky, S.; Byndych, T.; Bossi, L.; Capineri, L.; Falorni, P.; Bulletti, A.; Dimitri, M.; Pochanin, G.; Ruban, V.; Ogurtsova, T.. - ELETTRONICO. - (2019), pp. 1602-1606. ((Intervento presentato al convegno 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) tenutosi a Roma , Italy nel 17-20 June 2019 [10.1109/PIERS-Spring46901.2019.9017574].

Machine Vision for Obstacle Avoidance, Tripwire Detection, and Subsurface Radar Image Correction on a Robotic Vehicle for the Detection and Discrimination of Landmines

Bartolini, A.
Validation
;
Bossi, L.
Investigation
;
Capineri, L.
Supervision
;
Falorni, P.
Methodology
;
Bulletti, A.
Resources
;
Dimitri, M.
Investigation
;
2019

Abstract

In a joint project, research partners across institutions combined specialties to develop a remotely-operable, multi-sensor, robotic device for the detection of land mines, unexploded ordnance (UXO), and improvised explosive devices (IEDs). The robotic detection device uses a novel subsurface radar with imaging and target classification to differentiate between dangerous landmines and harmless clutter. One important aspect of this project has been to develop a system for imaging the terrain and potential obstacles ahead of the moving vehicle. Three important tasks drive the need for this look-ahead imaging: obstacle avoidance, tripwire detection, holographic subsurface radar (HSR) image correction.
2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
Roma , Italy
17-20 June 2019
Bartolini, A.; Crawford, F.; Bechtel, T.; Sallai, G.; Kuske, A.; Sinton, J.; Truskavetsky, S.; Byndych, T.; Bossi, L.; Capineri, L.; Falorni, P.; Bulletti, A.; Dimitri, M.; Pochanin, G.; Ruban, V.; Ogurtsova, T.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1185563
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