Fast, Fine-grained, and Robust Grouping of RFIDs
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Fund of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3570361.3592510
Reference35 articles.
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3. T. Boroushaki I. Perper M. Nachin A. Rodriguez and F. Adib. 2021. RFusion: Robotic Grasping via RF-Visual Sensing and Learning. In SenSys. T. Boroushaki I. Perper M. Nachin A. Rodriguez and F. Adib. 2021. RFusion: Robotic Grasping via RF-Visual Sensing and Learning. In SenSys.
4. C. Duan J. Liu X. Ding Z. Li and Y. Liu. 2021. Full-Dimension Relative Positioning for RFID-Enabled Self-Checkout Services. In UbiComp. C. Duan J. Liu X. Ding Z. Li and Y. Liu. 2021. Full-Dimension Relative Positioning for RFID-Enabled Self-Checkout Services. In UbiComp.
5. G. M. Gaukler . 2011. Item-Level RFID in a Retail Supply Chain with Stock-Outbased Substitution . IEEE Transactions on Industrial Informatics ( 2011 ). G. M. Gaukler. 2011. Item-Level RFID in a Retail Supply Chain with Stock-Outbased Substitution. IEEE Transactions on Industrial Informatics (2011).
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