Self-localizing battery-free cameras
Self-localizing battery-free cameras
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自定位无电池相机
DOI：
10.1145/2750858.2805846
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Joshua R. Smith
中科院分区：
文献类型：
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作者：
Saman Naderiparizi;Yi Zhao;James Youngquist;A. Sample;Joshua R. Smith
RFID传感器网络在没有电池的情况下持续传输传感器数据。摄像头耗电量大，但提供的信息比传统传感器网络节点更丰富。无电池、射频供电的相机传感器节点将RFID传感器网络的许多吸引人的功能与相机的那些功能结合在一起。然而，现有的无电池相机没有3D定位的概念，这是创建无电池相机的大规模网络所必需的。在这项工作中，我们建议使用通过车载摄像头增强的无电池RFID传感器标签来使分布式标签网络能够光学地确定每个相机标签的3D位置和姿势，给定通过LED增强的已知参考标签。实验结果表明，在3.6m的LED到摄像机范围内，摄像机标签能够以[x，y，z]=[15：92 cm，4：39 cm，1：03 cm]的平均精度确定其位置。
RFID sensor networks perpetually stream sensor data without batteries. Cameras are power hungry but provide richer information than conventional sensor network nodes. Battery-free, RF-powered camera sensor nodes combine many of the attractive features of RFID sensor networks with those of cameras. However, prior battery-free cameras have no notion of 3D location, which is desirable for creating large scale networks of battery free cameras. In this work we propose using battery-free RFID sensor tags enhanced with on-board cameras to enable a network of distributed tags to optically determine the 3D location and pose of each camera tag given known reference tags enhanced with LEDs. Experimental results show that the camera tags are capable of determining their position with an average accuracy of [x, y, z] = [15:92cm, 4:39cm, 1:03cm] at an LEDs-to-Camera range within 3.6m.