Self-Localizing Battery-Free Cameras
Saman Naderiparizi (University of Washington)
Yi Zhao (University of Washington)
James Youngquist (University of Washington)
Alanson Sample (Disney Research Pittsburgh)
Joshua R. Smith (University of Washington)
(UbiComp) International Joint Conference on Pervasive and Ubiquitous Computing 2015
September 7, 2015
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.
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