Scientists from Kazan Aviation Institute (KNITU-KAI) have developed innovative algorithms for autonomous navigation of unmanned aerial vehicles using computer vision. These algorithms allow UAVs to effectively detect circular markers, which significantly improves their ability to autonomous navigation and landing.
The main goal of the project is to enable drones to operate without dependence on GPS, especially at the critical landing stage. In case of loss of communication with the global navigation system, drones will be able to continue performing navigation tasks, relying only on internal systems based on images and computer vision. This will be possible thanks to the accurate detection of the centers of circular markers, which serve as a guide for UAVs.
A system capable of functioning autonomously and without loss of efficiency in the absence of satellite communications makes drones more reliable and suitable for use in remote and inaccessible areas where the GPS signal may be weak or absent altogether.
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