3D object following based on visual information for Unmanned Aerial Vehicles

I. Mondragón, P. Cervera, M. Olivares-Méndez, C. Martínez
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引用次数: 22

Abstract

This article presents a novel system and a control strategy for visual following of a 3D moving object by an Unmanned Aerial Vehicle UAV. The presented strategy is based only on the visual information given by an adaptive tracking method based on the color information, which jointly with the dynamics of a camera fixed to a rotary wind UAV are used to develop an Image-based visual servoing IBVS system. This system is focused on continuously following a 3D moving target object, maintaining it with a fixed distance and centered on the image plane. The algorithm is validated on real flights on outdoors scenarios, showing the robustness of the proposed systems agains winds perturbations, illumination and weather changes among others. The obtained results indicate that the proposed algorithms is suitable for complex controls task, such object following and pursuit, flying in formation, as well as their use for indoor navigation
基于视觉信息的无人机三维目标跟踪
本文提出了一种新的无人机三维运动物体视觉跟踪系统和控制策略。该策略仅基于基于颜色信息的自适应跟踪方法给出的视觉信息,并结合旋转风无人机的摄像机动力学特性,开发了一种基于图像的视觉伺服IBVS系统。该系统的重点是连续跟踪一个三维运动的目标物体,使其保持固定的距离,并以图像平面为中心。该算法在户外场景的真实飞行中得到验证,显示了所提出系统对风扰动、光照和天气变化等的鲁棒性。实验结果表明,该算法适用于目标跟踪、编队飞行等复杂控制任务,并可用于室内导航
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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