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

机译:基于移动传感器的计算机视觉的简短距离,准确定位

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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:为了最大限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。需要本地化是移动传感器节点最重要的功能之一。在本文中,我们提出了一种技术改善了MSN与计算机视觉技术的相对位置。这种技术仅在短距离内效果,但只有低价格传感器,我们在10厘米的分辨率下实现了精确的定位。众所周知的透视 - 3点问题已被利用精确的短距离定位。通过实验,我们在相机视图和LED模式间隔之间存在相互关联。我们测量对应车辆和车辆的距离分享障碍物的距离信息和电动车辆的可能合作。可以通过数字罗盘识别车辆的角度。最后,通过多种位置信息,我们可以高精度地实现移动传感器节点的本地化。

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