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Low-cost embedded system for relative localization in robotic swarms

Jan Faigl, Tomáš Krajník, Jan Chudoba, Libor Přeučil, Martin Saska

Year
2013
Citations
90

Abstract

In this paper, we present a small, light-weight, low-cost, fast and reliable system designed to satisfy requirements of relative localization within a swarm of micro aerial vehicles. The core of the proposed solution is based on off-the-shelf components consisting of the Caspa camera module and Gumstix Overo board accompanied by a developed efficient image processing method for detecting black and white circular patterns. Although the idea of the roundel recognition is simple, the developed system exhibits reliable and fast estimation of the relative position of the pattern up to 30 fps using the full resolution of the Caspa camera. Thus, the system is suited to meet requirements for a vision based stabilization of the robotic swarm. The intent of this paper is to present the developed system as an enabling technology for various robotic tasks.

Keywords

Computer scienceArtificial intelligenceComputer visionPosition (finance)Swarm behaviourRobotMachine visionPoseReal-time computingComputer hardware

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