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Accurate localization in short distance based on computer vision for mobile sensors

机译:基于计算机视觉的移动传感器在短距离内精确定位

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In order to maximize the utilization of mobile sensor network, formation of sensor set and localization of each sensor node must be implemented. It is required that localization is one of the most important functionality of mobile sensor nodes. In this paper, we present a technique which improves the relative location of the MSN with a computer vision technology. This technique effects only in short distance but only with low price sensors, we achieved precise localization in the resolution of 10 centimeters. The well known perspective-3-point problem have been exploited for the precise short distance localization. By experiment we present an interrelation between angle of camera view and a LED pattern interval. We measures the distance of the counterpart vehicle and vehicles shares distance information of obstacle and the relative vehicles with possible cooperation of vehicles. The angle of a vehicle can be identified by digital compass. Finally, with a share of location information we can achieve localization of mobile sensor nodes with high accuracy.
机译:为了最大程度地利用移动传感器网络,必须实现传感器组的形成和每个传感器节点的定位。要求定位是移动传感器节点最重要的功能之一。在本文中,我们提出了一种使用计算机视觉技术改善MSN相对位置的技术。该技术仅在短距离内有效,而仅在低价传感器上有效,我们以10厘米的分辨率实现了精确的定位。众所周知的透视三点问题已被用于精确的短距离定位。通过实验,我们提出了摄像机视角与LED模式间隔之间的相互关系。我们测量对方车辆的距离,并在可能的车辆配合下共享障碍物与相关车辆的距离信息。车辆的角度可以通过数字罗盘进行识别。最后,通过共享位置信息,我们可以实现对移动传感器节点的高精度定位。

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