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Vision-based Sense and Avoid of UAV with 2D Dynamic Safety Envelop

Yang Lv, Quan Pan, Chun-hui Zhao, Cheng Cheng, Yi-zhai Zhang

Abstract


Sense and Avoid (SAA) has been identified as one of the most significant challenge for integrating UAV into civil airspace, and vision system has demonstrated its capacity to SAA. To deal with the depth-independent vision based sense and avoid problem, an image-based envelop formulation method is proposed and single point feature is found. Then a angle only visual servoing controller is designed to track the selected point at the same time the motion of the feature point is compensated. In the end, simulation represent different collision scenarios are carried out to illustrate the feasibility of the proposed method, the simulation results demonstrate that the method in this article can achieve SAA in without range information.

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References


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DOI: http://dx.doi.org/10.21535%2FProICIUS.2014.v10.301

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