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Self-organised swarm display

机译:自组织群显示

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摘要

Using multiple interconnected light-emitting devices in order to compose large images has been an active research area in recent years. The localisation of devices involved is usually achieved via camera-based techniques, which do not allow for the devices to be mobile. We propose an image construction algorithm designed to be robust under mobility of the devices. This allows for the creation and maintenance of a display even when the devices are thrown into water of moved by the wind. Two state-of-the-art distance estimation techniques are used for multilateration and compared in terms of performance and computational complexity. A quality measure based on the colour difference is developed for evaluation of composite images. Furthermore, a scaling technique is developed which improves image quality. In simulative experiments, the impact of mobility of the devices is investigated for both distance estimation methods. While the estimation technique based on communication hop counting shows better results in static networks, our newly designed connectivity-based approach is found to be more robust under dynamic conditions.
机译:近年来,使用多个互连的发光器件以合成大图像一直是活跃的研究领域。所涉及设备的定位通常是通过基于摄像头的技术实现的,该技术不允许设备移动。我们提出了一种图像构造算法,该算法旨在在设备的移动性下保持鲁棒性。即使当设备被风抛入水中时,也可以创建和维护显示器。两种最新的距离估计技术用于多边处理,并在性能和计算复杂度方面进行了比较。开发了基于色差的质量度量以评估合成图像。此外,开发了改善图像质量的缩放技术。在模拟实验中,针对两种距离估计方法,研究了设备移动性的影响。虽然基于通信跃点计数的估计技术在静态网络中显示出更好的结果,但是我们发现新设计的基于连接性的方法在动态条件下更加健壮。

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