Artificial Intelligence for Detection of Explosive Ordnance Extended

AIDEDex aims to provide a baseline for advanced and mature research for multi-robotic systems with State of the Art sensors and Artificial Intelligence Algorithms for the detection and classification of IEDs (Improvised Explosive Devices), EOs (Explosive Ordnance) and Landmines. The concept of AIDEDex relies on the strong foundations of the on-going project AIDED in which the consortium is carrying out the technology development, offering a solid base for an highly reliable platform in AIDEDex. The main focus is on the automated detection of Improvised Explosive Devices (IEDs) using Artificial Intelligence techniques on data collected from a large suite of sensors such as Electro-Magnetic Inference (EMI), Ground Penetrating Radar (GPR), X-Ray Backscatter Imaging (XRB), Raman Spectrometer, Infrared Cameras, Multispectral Cameras and Chemical. This set of sensors, or a combination of them, allows to determine the position and type of the IED and landmines with a maximum accuracy while minimising every risk.

RMA will co-develop a fleet of mixed Unmanned Ground Vehicles (UGV) and Aerial (UAV) that will be able to operate in different scenarios, from open space fields to more risky closed environments and urban scenarios, of increasing interest for security in

The AIDEDeX project is financed by the European Commission through the European Defence Fund under grant 101121399.