TECHNICAL REPORT: Automated Airborne Ordnance Detection Via Data Fusion of Ground Penetrating Radar and Magnetometers

Kuru, Kaya, Ansell, Darren, Jones, David, Watkinson, Benjamin, Pinder, John Michael, Hamila, Ridha and Tinker-Mill, Claire Louisa (2025) TECHNICAL REPORT: Automated Airborne Ordnance Detection Via Data Fusion of Ground Penetrating Radar and Magnetometers. Technical Report. UNSPECIFIED. (Unpublished)

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Official URL: https://clok.uclan.ac.uk/id/eprint/56775/

Abstract

This technical report highlights the importance of fusing data from various sensor modalities to overcome the limitations of individual
sensors in detecting explosive devices. The methods developed in this report address the limitations of individual sensors, offering a quicker, safer, and more economical alternative to conventional ordnance detection techniques. Sensor data fusion significantly reduced the number of false alarms. Results from outdoor trials confirm the effectiveness of the proposed techniques and approaches in detecting ordnance with high accuracy. By enabling faster clearing operations in vast and hazardous landscapes, the developed UAS reduces danger, increases reliability, and significantly improves safety for humanitarian teams.


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