ViPER:使用超宽带无线电进行车辆姿态估计

Alireza Ansaripour, Milad Heydariaan, O. Gnawali, Kyungki Kim
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引用次数: 7

摘要

姿态估计是许多基于位置的应用程序的构建模块,例如建筑工地的安全应用程序。超宽带(UWB)无线电已被广泛用于定位,并可用于姿态(物体的位置和方向角)估计,主要是因为这些无线电可以准确地估计无线电信号的到达时间。目前的超宽带位姿估计方案在非视线(NLoS)条件下不能充分发挥作用。这些现有的姿态估计解决方案中的一些依赖于两种或更多类型的传感器来解决NLoS的挑战。这些方法存在数据融合复杂性的问题,使系统无法通用化,并且仅限于某些特定的简单环境,例如实验室。在本文中,我们提出了一种基于UWB的姿态估计系统ViPER,该系统仅使用UWB无线电。我们的目标是在不包含任何辅助传感器的情况下减少NLoS的影响。ViPER采用低通滤波器、锚点和参考点选择方法来降低测量中非线性los的影响。它还使用优化问题估计实体的姿态。我们在实际的公路建设和停车场设置中对ViPER进行了评估。我们发现,在非视线情况下,该算法将平均数据包接收率提高了117%,错误率降低了70%。
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ViPER: Vehicle Pose Estimation using Ultra-WideBand Radios
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.
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