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RF-based Relative Position Estimation in Mobile Ad-Hoc Networks with Confidence Regions

机译:具有置信区域的移动自组网中基于RF的相对位置估计

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Relative localisation of mobile robots can provide useful information to applications, from formation control, to joint exploration and inspection. One way to obtain relative localisation is to measure distances between the multiple robots. In this scope, distance estimates based on RF ranging data can be beneficial for small/inexpensive communicating robots that have no other means of measuring distances, or as disambiguation of multiple hypothesis in high accuracy localisation systems. In this work, we present a technique of estimating the relative positions of simple mobile robots in a small team using the distance information that can be captured by a wireless transceiver, only. Simulation results with a team of five mobile robots show that we can estimate their relative positions with an average accuracy of 1.3 m without any fixed reference and using RF information, only. The main contribution of our work is that we can provide consistent reliability information as the covariance of the obtained positions.
机译:移动机器人的相对定位可以为应用提供有用的信息,从编队控制到联合勘探和检查。获得相对定位的一种方法是测量多个机器人之间的距离。在此范围内,基于RF测距数据的距离估计可能对那些没有其他测量距离的手段的小型/廉价通信机器人很有用,或者对于高精度定位系统中的多个假设来说是无歧义的。在这项工作中,我们提出一种仅使用无线收发器可以捕获的距离信息来估算小团队中简单移动机器人的相对位置的技术。由五个移动机器人组成的团队的仿真结果表明,我们可以以1.3 m的平均精度估算它们的相对位置,而无需任何固定参考,而仅使用RF信息即可。我们工作的主要贡献在于,我们可以提供一致的可靠性信息作为所获得位置的协方差。

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