Abstract
Landmines pose a significant problem worldwide, claiming lives and causing injuries long after conflicts have ended. Traditionally, landmine detection has depended on methods like metal detectors, manual probes, and trained dogs. These techniques are effective but can be dangerous and slow, often proving costly and time-consuming. A combination of Unmanned Aerial Vehicle (UAV) and thermal imaging offers a safer way to scan suspected areas. The paper tries to simulate the thermal behaviour of (semi) buried landmines and compares it with real tests performed by a UAV equipped with a thermal camera. The goal is to identify the best moment for diurnal detection to maximise time and resources for landmine detection.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Global Humanitarian Technology Conference (GHTC) |
| Place of Publication | Golden, CO, USA |
| Publisher | IEEE |
| Number of pages | 7 |
| ISBN (Electronic) | 979-8-3315-9502-9 |
| ISBN (Print) | 979-8-3315-9503-6 |
| DOIs | |
| Publication status | Published - 4 Dec 2025 |
| Event | 15th Annual IEEE Global Humanitarian Technology Conference, GHTC 2025: Technologies in context - Golden, United States Duration: 22 Oct 2025 → 25 Oct 2025 Conference number: 15 |
Conference
| Conference | 15th Annual IEEE Global Humanitarian Technology Conference, GHTC 2025 |
|---|---|
| Abbreviated title | GHTC 2025 |
| Country/Territory | United States |
| City | Golden |
| Period | 22/10/25 → 25/10/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- 2026 OA procedure
- landmines
- UAV
- simulation
- diurnal detection
- thermal imaging
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