CONTROL AND DECISION MAKING

Automatic control system's architecture for group of small unmanned aerial vehicles

A. V. Bokovoy

Federal Research Center «Computer Science and Control» of Russian Academy of Sciences

Abstract: This paper presents methods and algorithms for vision marker-based automatic control of small aerial vehicles group in GPS/GLONASS-denied environment. We explain the purposed methods for marker recognition, vision-based unmanned aerial vehicle’s localization and their movement coordination. We introduce the preproduction model of our navigation system based on open-source projects.

Keywords: unmanned aerial vehicles, vision-based navigation, control system.

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