Non-Invasive Detection of Landmines, Improvised Explosive Devices and Unexploded Ordnances Using Bespoke Unmanned Aerial Systems

Discovering and clearing legacy landmines, Improvised Explosive Devices (IED), and Unexploded Ordnances (UXO) using a force made up of humans or animals is extremely risky, labour- and time-intensive. In this study, a small-scale customised drone was developed to automate the procedures of cleaning explosive devices. It was instrumented with innovative intelligent automated techniques and magnetometer sensor technologies. Its performance was assessed in field tests. The results, obtained in the open-air minefields and the benchmark assessments, verify the viability of the technologies, methods, and approaches employed in this research for the efficient detection of legacy landmines and IDE/UXO.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icecer62944.2024.10920436
Citations
2
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.67

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article

Non-Invasive Detection of Landmines, Improvised Explosive Devices and Unexploded Ordnances Using Bespoke Unmanned Aerial Systems

Aadithya Sujit, Darren Ansell, Benjamin Jon Watkinson, John Pinder et al.
2 citations
Geophysical Methods and Applications
0.67
article

Non-Invasive Detection of Landmines, Improvised Explosive Devices and Unexploded Ordnances Using Bespoke Unmanned Aerial Systems

Aadithya Sujit, Darren Ansell, Benjamin Jon Watkinson, John Pinder, Davey L. Jones, Kaya Kuru, Ridha Hamila, Claire Tinker-Mill
article en
2 citations

Abstract

Discovering and clearing legacy landmines, Improvised Explosive Devices (IED), and Unexploded Ordnances (UXO) using a force made up of humans or animals is extremely risky, labour- and time-intensive. In this study, a small-scale customised drone was developed to automate the procedures of cleaning explosive devices. It was instrumented with innovative intelligent automated techniques and magnetometer sensor technologies. Its performance was assessed in field tests. The results, obtained in the open-air minefields and the benchmark assessments, verify the viability of the technologies, methods, and approaches employed in this research for the efficient detection of legacy landmines and IDE/UXO.

University of Lancashire (GB), Qatar University (QA)
University of Central Lancashire
Climate action
Openalex Percentile: Top 28%
Geophysical Methods and Applications
0.67
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Non-Invasive Detection of Landmines, Improvised Explosive Devices and Unexploded Ordnances Using Bespoke Unmanned Aerial Systems — Aadithya Sujit, Darren Ansell, et al. · (2024) | TGRS Research Map | TGRS