{"id":5550,"date":"2026-07-22T14:52:37","date_gmt":"2026-07-22T13:52:37","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=5550"},"modified":"2026-07-22T14:52:37","modified_gmt":"2026-07-22T13:52:37","slug":"ravn","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/projects\/ravn\/","title":{"rendered":"RAVN"},"content":{"rendered":"

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The RAVN system is developed through a layered methodology that integrates long-range sensing, airborne refinement, autonomous coordination, and precise interception. The process begins with Intersoft\u2019s NoRA AESA radar, which provides wide-area 360\u00b0 surveillance and continuous tracking of low-RCS drones. These radar cues feed into Sol.One\u2019s ground control station, which predicts trajectories and dispatches autonomous mothership drones toward the threat corridor or directly above critical infrastructure when required.<\/p>\n

Upon arrival in the engagement zone, the mothership becomes the airborne coordinator. Using EO sensing and advanced radar\u2013vision fusion algorithms developed by RMA with Sol.One, the mothership refines the initial radar detections, improves classification confidence, and continuously updates the threat picture. This close-range airborne refinement enables early interception far away from the asset as well as accurate last-moment engagement if a swarm is over critical infrastructure. When neutralisation is required, the mothership deploys multiple micro-interceptor drones.<\/p>\n

These micro-drones use visual\u2013inertial tracking complemented by Agilica\u2019s UWB mesh technology for robust relative positioning with respect to the mothership and within their own swarm. This enables precise guidance even in severely jammed or communication-denied environments. Each micro-drone autonomously homes in on its assigned target and performs collision-based neutralisation, with the mothership monitoring engagements and deploying additional interceptors if necessary.
Throughout the project, extensive simulation and field trials will validate the full kill chain\u2014early detection, airborne refinement, cooperative coordination, and autonomous interception\u2014ensuring robustness, modularity, and interoperability with NATO-aligned defence architectures.<\/p>\n

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Defence-related Research Action – DEFRA<\/p>\n

\u00a001\/12\/2025 – 01\/03\/2029<\/p>\n

\u00a02 677 000 \u20ac<\/p>\n

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Geert De Cubber<\/a><\/p>\n

Jamie Wubben<\/a><\/p>\n

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https:\/\/www.sol.one\/defra\/ravn<\/a><\/p>\n

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Project Video Gallery<\/h4>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>
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Project Publications<\/h4>\n<\/div>\n
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