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ViPER: Vehicle Pose Estimation using Ultra-WideBand Radios

机译:ViPER:使用超宽带无线电的车辆姿态估计

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Pose estimation is a building block for many location-based applications, such as safety applications in a construction site. Ultra-WideBand (UWB) Radios have been widely used for localization and can be used in pose (location and orientation angle of the object) estimation primarily because of the accuracy with which these radios can estimate the arrival time of radio signals. Current UWB pose estimation solutions do not perform adequately in Non-Line of Sight (NLoS) conditions. Some of these existing solutions in pose estimation rely on two or more types of sensors to tackle the NLoS challenge. These methods suffer from data fusion complexity, making the system not generalizable and limited to some specific simple environments, such as labs. In this paper, we propose ViPER, a UWB-based pose estimating system using only UWB radios. Our goal is to reduce the effects of the NLoS without the inclusion of any auxiliary sensors. ViPER uses low-pass filter, anchor and reference selection method to reduce the effect of NLoS in the measurements. It also estimates the pose of the entities using an optimization problem. We have evaluated ViPER in real- world highway construction and parking lot setting. We find that it improves the average packet reception ratio by 117% and decreases the error rate by 70% over the state of the art in Non-Line of Sight situation.
机译:姿势估计是许多基于位置的应用程序(例如,建筑工地中的安全性应用程序)的构建块。超宽带(UWB)无线电已经广泛用于定位,并且可以主要用于这些姿势(物体的位置和方向角)估计中,因为这些无线电可以准确估计无线电信号的到达时间。当前的UWB姿态估计解决方案在非视线(NLoS)条件下无法充分发挥作用。这些姿态估计中的现有解决方案中的某些解决方案依赖于两种或更多种类型的传感器来解决NLoS挑战。这些方法具有数据融合的复杂性,使系统无法通用化,并限于某些特定的简单环境(例如实验室)。在本文中,我们提出了ViPER,一种仅使用UWB无线电的基于UWB的姿态估计系统。我们的目标是在不包括任何辅助传感器的情况下降低NLoS的影响。 ViPER使用低通滤波器,锚点和参考选择方法来减少NLoS在测量中的影响。它还使用优化问题估计实体的姿态。我们已经在现实世界的高速公路建设和停车场设置中评估了ViPER。我们发现,与非视线情况下的最新技术相比,它使平均数据包接收率提高了117%,错误率降低了70%。

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