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

Kuru, Kaya orcid iconORCID: 0000-0002-4279-4166, Sujit, Aadithya orcid iconORCID: 0000-0002-6744-5472, Ansell, Darren orcid iconORCID: 0000-0003-2818-3315, Pinder, John Michael, Jones, David, Watkinson, Benjamin, Hamila, Ridha and Tinker-Mill, Claire Louisa orcid iconORCID: 0000-0002-1981-3111 (2025) Non-Invasive Detection of Landmines, Unexploded Ordnances and Improvised Explosive Devices Using Bespoke Unmanned Aerial Vehicles. In: 2024 International Conference on Electrical and Computer Engineering Researches (ICECER). Institute of Electrical and Electronics Engineers (IEEE). ISBN 979-8-3315-3974-0

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Official URL: https://doi.org/10.1109/ICECER62944.2024.10920436

Abstract

Finding and removing legacy landmines, Unexploded Ordnances (UXO), and Improvised Explosive Devices (IED) with a team of people or animals is very dangerous and requires a lot of effort and time. A small-scale customised drone was created in this research to automate the processes of cleaning explosive devices. Field tests were conducted to evaluate its performance. The outcomes of the benchmark evaluations and open-air minefields confirm the feasibility of the technologies, procedures, and strategies used in this study to identify landmines/UXO/IDE effectively.


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