基于RFID的粒子滤波天花板相机目标定位系统

Prachya Kamol, S. Nikolaidis, R. Ueda, T. Arai
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引用次数: 53

摘要

本文提出了一种适用于家庭环境的目标定位方法。该方法利用RFID设备、移动机器人和一些天花板摄像头。RFID系统估计每个物体的大致位置。带有RFID天线的自主机器人探索环境,以检测地板上的其他物体。每个附加了RFID标签的对象,然后利用存储在该标签中的特征信息进行识别。最后,利用带有粒子滤波的天花板摄像机对每个物体进行精确定位。通过实验验证了该方法的准确性和鲁棒性。
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RFID Based Object Localization System Using Ceiling Cameras with Particle Filter
In this paper, we propose an object localization method for home environments. This method utilizes RFID equipments, a mobile robot and some ceiling cameras. The RFID system estimates a rough position of each object. The autonomous robot with RFID antennas explores the environment so as to detect other objects on the floor. Each object that is attached an RFID tag, is then recognized by utilizing its feature information stored in this tag. Finally, the precise localization of each object is achieved by the ceiling cameras with particle filters. The accuracy and the robustness of the proposed method are verified through an experiment.
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