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Take the Field from Your Smartphone: Leveraging UAVs for Event Filming

机译:从您的智能手机拍摄现场:利用无人机进行活动拍摄

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This paper formulates the Sport Event Filming with Connectivity Constraints (SEF-C-2) problem. The SEF-C-2 problem is an event coverage problem, which exploits a team of Unmanned Aerial Vehicles (UAVs) over a limited field in order to track the movements of an object (e.g., of the ball) and to deliver a video stream of the events (e.g. , ball passes, goals) to the spectators meeting certain timeliness and video quality criteria. Assuming a priori knowledge of the whole sequence of actions, first a novel mathematical model is introduced that determines a sequence of movements for the UAVs, such that the timeliness of the filming is maximized and the total traveled distance is minimized. Then, dynamic, artificial potential function based, distributed UAV movement schemes that have no a priori knowledge of the sequence of game actions are proposed to optimize networking performance. Extensive simulations are used to analyze the performance in terms of video transmission quality and show that the proposed schemes outperform existing schemes.
机译:本文将体育事件配制拍摄,通过连接约束(SEF-C-2)问题。 SEF-C-2问题是一个事件覆盖问题,它在有限的场上利用无人驾驶飞行器(无人机)的团队,以跟踪对象(例如,球)的运动并提供视频流事件(例如,BALL通过,目标)到符合某些及时性和视频质量标准的观众。假设对整个动作序列的先验知识,引入了一种新颖的数学模型,其确定无人机的运动序列,使得拍摄的时间性最大化并且总行驶距离最小化。然后,提出了基于动态,人工势函数,没有先验的游戏操作序列的先验知识的分布式UAV运动方案,以优化网络性能。广泛的模拟用于分析视频传输质量方面的性能,并表明所提出的方案优于现有方案。

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