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Relative localization with computer vision and UWB range for flying robot formation control

Bernardo Ramírez, Hoam Chung, Hasan Derhamy, Jens Eliasson, Jan Carlo Barca

发表年份
2016
引用次数
10

摘要

Relative localization is a core problem for swarm robotics since each swarm node must determine where neighboring robots are located to accomplish cooperative tasks such as formation control. In this paper we present a system that performs relative localization between a stationary marker and a flying robot in real-time. Relative distances are obtained using ultra-wide band radio, while a low-cost webcam provide angle measurements. To achieve the latter, we employed the Camshift algorithm and a Kalman filter. We tested our system outdoors during daylight using centimeter-accuracy GPS measurements as ground truth. Three data sets have been collected from a series of experiments and it shows that errors in estimated relative positions are between +/-0.190 m on the x-East axis and +/-0.291 m on the z-North axis at 95% confidence level.

关键词

RobotArtificial intelligenceComputer visionComputer scienceKalman filterGround truthExtended Kalman filterRoboticsGlobal Positioning SystemRange (aeronautics)

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