Ukraine's defence ministry explains how AI-enabled drones are disrupting Russian logistics
Artificial intelligence is being integrated into Ukrainian mid-range drones used by Ukrainian forces to strike Russian logistics targets deep in the rear. A neural network enables the UAVs to bypass air defences, identify and engage targets and distinguish decoys posing as Russian equipment.
Source: Ukraine's Ministry of Defence in a report outlining how AI is used in these drone systems
Details: The Defence Ministry explained that at distances of more than 50 km behind the front line, Russian electronic warfare systems can jam or spoof the navigation of attack drones. To counter this, specialised onboard computing systems and optical cameras are being integrated into Ukrainian UAVs. A neural network continuously processes the drone's imagery and helps it maintain its course.
"The algorithm compares real-time imagery with high-resolution satellite data stored in its onboard memory. This allows the system to determine its position by correlating visual landmarks and calculating the drone's trajectory," the Defence Ministry said.
The algorithms also analyse the video feed to guide the drone towards its target. The AI can distinguish between silhouettes of military equipment and perform automatic lock-on when it identifies the designated equipment or structure.
"If the target is an air defence position, the artificial intelligence identifies the launcher or radar, automatically designates the target and adjusts the UAV's control surfaces to enable a precise dive profile," the ministry said.
The Ministry of Defence explained that the neural network onboard the drones also helps distinguish decoys from combat equipment. The algorithm compares object geometry, surface characteristics and engine heat signatures to improve target identification and ensure effective use of the system.
Artificial intelligence is involved at the mission planning stage to create a route that bypasses Russian air defense zones.
Quote: "The program calculates an optimal flight path, taking into account terrain features, identified radar blind spots and the assessed engagement ranges of enemy air defence systems. This integrated planning process helps maximise the effectiveness of mid-range drones in targeting logistics nodes, depots, equipment and command posts."
Background: Ukrainska Pravda reported earlier that Ukraine's defence forces used AI-powered drones to strike Russian military equipment near the occupied city of Mariupol. The 1st Separate Unmanned Systems Centre of Ukraine's Unmanned Systems Forces (14th Regiment) also said it has secured a fire advantage over Donetsk airport and struck Russian infrastructure within its perimeter.
Read also: Hitting the rear and easing the load on HIMARS: Ukraine's new mid-range drones
A scalpel against air defences: no more asking "Where's Ukraine's Lancet?"
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