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- W3090242034 abstract "Nowadays, detecting and evaluating the internal structure of packages becomes a crucial task for logistics systems to guarantee the reliability and security. However, prior solutions such as X-ray diffraction and WiFi-based detection are not suitable for this purpose. X-ray-based methods usually require manual analysis or image processing algorithms with high complexity, while WiFi-based solutions may fail to detect complex structures due to the significant error of the RF-signal features. In this paper, we propose RF-Detector, a low-cost RFID solution for performing 3D structure detection of items contained in the packages, including the item orientations and relative locations. We thoroughly investigate a brand-new sensing model for RFID-based 3D structure detection, i.e., revolving scanning. We propose not only the fundamental revolving model but also a novel calibration method towards the undesired deployment. We have implemented a prototype system to evaluate the performance of RF-Detector. Extensive evaluations in real settings show the effectiveness of RF-Detector, achieving very high accuracy of the internal 3D structure detection." @default.
- W3090242034 created "2020-10-08" @default.
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- W3090242034 date "2020-08-01" @default.
- W3090242034 modified "2023-09-27" @default.
- W3090242034 title "RF-Detector: 3D Structure Detection of Tiny Objects via RFID Systems" @default.
- W3090242034 cites W2170102584 @default.
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- W3090242034 doi "https://doi.org/10.1109/icccn49398.2020.9209644" @default.
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