在大型环境中使用具有稀疏标签的短距离无源RFID阅读器同时定位和映射

Jiun-Fu Chen, C. Wang
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引用次数: 8

摘要

射频识别(RFID)技术已经被研究和应用于解决定位和映射问题,其中大多数研究使用具有多个读写器和密集标签的远程有源或无源RFID系统。在本文中,我们提出使用一个短距离无源RFID阅读器在大型室内环境中实现基于扩展卡尔曼滤波(EKF)的稀疏标签同步定位和映射(SLAM)。我们证明,仅使用里程计和短距离RFID数据就可以以足够的精度完成SLAM。仿真和实验结果验证了该系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous localization and mapping using a short-range passive RFID reader with sparse tags in large environments
The radio frequency identification (RFID) technology has been studied and used to solve the localization and mapping problems in which most of studies use long-range active or passive RFID systems with multiple readers and dense tags. In this paper, we propose to use a short-range passive RFID reader to accomplish extended Kalman filter (EKF) based simultaneous localization and mapping (SLAM) with sparse tags in large indoor environments. We demonstrate that it is feasible to accomplish SLAM with sufficient accuracy using only odometry and short-range RFID data. The simulation and experimental results demonstrate the feasibility of the proposed system.
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