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13:03, 26 November 2025
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Russian Engineers Teach Drones to Hover Exactly Where Needed

Russian engineers have taken a major step forward in autonomous aviation by creating a system that allows drones to hover precisely where they need to. As global demand for unmanned aerial technologies grows, these advances could reshape logistics, safety operations, and infrastructure monitoring across multiple industries

A Breakthrough in Autonomous Hovering

Young engineers from Sevastopol State University have developed a unique system that enables drones to hold their position in the air with remarkable accuracy. Supported by University 2035, the project marks a significant milestone in Russia’s digital transportation transformation and strengthens the country’s presence in the global unmanned technology sector.

The core of the system lies in intelligent analysis of video streams from the drone’s onboard camera combined with its tilt data. The system refreshes positional information twice per second, maintaining an accuracy margin within two meters. To design the algorithm, the team had to model drone flight independently, using maps and sophisticated mathematical tools to shape flight trajectories.

The engineers tested two approaches: a classical method suitable for low‑power processors, and a more resource‑intensive neural‑network‑driven model that demonstrated exceptional stability. This flexibility allows the technology to be adapted for different missions and cost requirements.

Practical Value and Industry Impact

Precise hovering is a critical capability for global drone operations—from cargo delivery and emergency response to infrastructure inspections and environmental monitoring. The team’s progress has already earned praise from industry experts.

Vasily Karetin, Innovation Director at AVAKS‑GeoService LLC, emphasized the system’s promise: “The team demonstrated impressive speed, an interesting and practical approach to autonomous navigation, and substantial results achieved in just six weeks.”

The next step is testing the system on widely used platforms such as Raspberry Pi and NVIDIA Jetson. This brings the technology closer to commercial deployment and reinforces Russia’s role as a hub for advanced engineering solutions.

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