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Multi-robot in-ice localization using graph optimization

机译:使用图优化的多机器人冰内定位

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We present a graph-based algorithm for jointly estimating the positions of multiple ice-melting probes. The probes determine the distances relative to each other by measuring the signal propagation time of acoustic pulses. Furthermore, multiple other sensors, like an inertial measurement unit and a differential magnetometer system, are used to calculate the relative movement of the probes. The positions of the probes are represented by nodes of a graph, while those nodes are constrained by edges, which result from the sensor measurements. Finally, the localization task is solved by optimizing the node positions with respect to the error resulting from the constraints. Our approach is compared to other algorithms for multi-robot localization in different scenarios.
机译:我们提出了一种基于图的算法,用于联合估计多个融冰探测器的位置。探针通过测量声脉冲的信号传播时间来确定彼此之间的距离。此外,还使用了多个其他传感器(例如惯性测量单元和差动磁力计系统)来计算探针的相对运动。探针的位置由图形的节点表示,而那些节点则受传感器测量结果导致的边缘约束。最后,通过针对因约束产生的误差优化节点位置来解决定位任务。将我们的方法与在不同情况下用于多机器人本地化的其他算法进行了比较。

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