| Abstract: |  The aim of this thesis is to develop and implement a system providing relative localization in swarms of unmanned aerial vehicles based on visual information provided by an on-board camera system. The basic methods for localization are discussed and usage of the Kalman filter in data fusion is shown. A thesis is developed in collaboration with the COLOS project, which is focused on development of a complex system for controlling the swarm of UAVs. A probability model of the patter recognition system in the camera module is also prepared.
Developed algorithm for the data fusion in swarms of helicopters is implemented and tested on the camera module.
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