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Trajectory initialization foot-mounted IMU and calibration using a and UWB anchors

机译:轨迹初始化脚安装的IMU和使用A和UWB锚的校准

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Inertial based pedestrian positioning is very useful in emergency response situations, such as search and rescue (SAR) missions as it is independent of external infrastructures and signals. Two practical problems emerge in inertial based pedestrian positioning: trajectory initialization and trajectory calibration. The former one denotes how to determine the initial position and heading of the pedestrian, and the latter denotes how to reduce the dead reckoning (DR) errors due to inertial drifts. This paper provides a solution to these two problems adopting a few ultra-wide band (UWB) anchors, which can provide range measurements between the anchors and the pedestrian. The foundation of the method is graph based simultaneously localization and mapping (SLAM). The nodes in the graph are the poses of the pedestrian and the edges are the range measurements between the UWB anchors and the tags mounted on the pedestrian. Both simulations and real scenario experiments are carried out to validate the proposed method. The proposed approach outperformed the particle filtering based approach in terms of robustness and processing time.
机译:基于惯性的行人定位在应急响应情况下非常有用,例如搜索和救援(SAR)任务,因为它独立于外部基础架构和信号。基于惯性行人定位的两个实际问题:轨迹初始化和轨迹校准。前者表示如何确定行人的初始位置和标题,后者表示如何降低由于惯性漂移而损失(DR)误差。本文提供了采用少数超宽带(UWB)锚的这两个问题的解决方案,其可以在锚和行人之间提供范围测量。该方法的基础是基于曲线图,同时本地化和映射(SLAM)。图中的节点是行人的姿势,边缘是UWB锚和安装在行人上的标签之间的范围测量。进行仿真和实际情况实验,以验证提出的方法。该方法在鲁棒性和处理时间方面优于基于粒子滤波的方法。

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