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RF-3DScan: RFID-based 3D Reconstruction on Tagged Packages

2019; IEEE Computer Society; Volume: 20; Issue: 2 Linguagem: Inglês

10.1109/tmc.2019.2943853

2161-9875

Yanling Bu, Lei Xie, Yinyin Gong, Jia Liu, Bingbing He, Jiannong Cao, Baoliu Ye, Sanglu Lu,

Robotics and Sensor-Based Localization

Currently, the logistic industry has introduced 3D reconstruction to monitor the package placement in the warehouse. Previous 3D reconstruction solutions mainly utilize computer vision or sensor-based methods, which are restricted to the line-of-sight or the battery life. Therefore, we propose a passive RFID-based solution, called RF-3DScan, to perform 3D reconstruction on tagged packages, including the package orientation and the package stacking. The basic idea is that a moving antenna can obtain RF-signals from the tags attached on packages with the 1D linear mobile scanning. Through extracting phase differences to build angle profiles for each tag, RF-3DScan derives their relative positions, further determines the package orientation and the coarse-grained package stacking. By simply performing the 2D scanning, RF-3DScan can provide the fine-grained package stacking determination. We implement a prototype system of RF-3DScan and evaluate its performance in real settings. Our experiment results show that RF-3DScan can achieve about 92.5 percent identification accuracy of the bottom face, and an average error about 4.08° of thethe rotation angle. For the package stacking, 1D scanning can achieve the comparable performance in comparison with 2D scanning.