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Two Families of Algorithms to Film Sport Events with Flying Robots

机译:用飞行机器人拍摄体育赛事的两个算法家族

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In this paper, we introduce two families of distributed algorithms to control the movement of groups of flying robots that are monitoring an event by moving over the field where the event takes place, while optimizing some specific objective. In order to show the effectiveness of our algorithms, we formulate the Sport Event Filming (SEF) problem. The objective of the problem is to maximize the satisfaction of event viewers while minimizing the distance traveled by the camera-drones. We propose two families of solutions to solve the dynamic version of the problem, where the flying robots do not have any knowledge of the input sequence and move in reaction to the movements of the protagonists of the event. The first family (Nearest Neighbor)is based on a technique used in robotic systems, whereas the second family (Ball Movement Interception) is designed based on specific characteristics of the SEF problem. We present extensive simulation results for both families in terms of average viewer satisfaction and travelled distance for the flying robots, when several parameters vary.
机译:在本文中,我们介绍了两个分布式算法家族,它们通过在发生事件的领域内移动来控制正在监视事件的飞行机器人组的运动,同时优化某些特定目标。为了展示我们算法的有效性,我们制定了体育赛事拍摄(SEF)问题。该问题的目的是使事件观看者的满意度最大化,同时使摄像机无人机的行进距离最小。我们提出了两个系列的解决方案来解决该问题的动态版本,在这些版本中,飞行机器人不了解输入顺序,并且会根据事件的主角的动作进行移动。第一个家族(最近的邻居)是基于机器人系统中使用的技术,而第二个家族(球运动拦截)是根据SEF问题的特定特征而设计的。当几个参数发生变化时,我们针对两个家庭提供了广泛的模拟结果,包括平均观看者满意度和飞行机器人的行进距离。

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