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Visual Communication with UAS: Recognizing Gestures from an Airborne Platform

机译:与UAS进行视觉交流:从机载平台识别手势

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摘要

Current tactical unmanned aerial systems receive their guidance and tasking information predominantly via radio links. To be able to communicate with these systems specific electronic devices are required. This work builds on the concept of visual communication of UAS to allow a person on ground commanding a nearby airborne vehicle to perform a specific reconnaissance task via gestures. A procedure to collect the necessary gestural command components is presented as well as a prototype image processing flow which is able to distinguish between neutral poses, static and dynamic 2D gestures. Prototype experiments prove the applicability of the proposed method on real life data from an airborne platform.
机译:当前的战术无人机系统主要通过无线电链路接收其指导和任务信息。为了能够与这些系统通信,需要特定的电子设备。这项工作建立在UAS视觉传达概念的基础上,以允许地面上的人命令附近的机载车辆通过手势执行特定的侦察任务。提出了收集必要手势命令组件的过程以及能够区分中性姿势,静态和动态2D手势的原型图像处理流程。原型实验证明了该方法在机载平台实际数据中的适用性。

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