Pohl, T. M., Mecklenbräuker, C., & Arthaber, H. (2025). Planar Trajectory Estimation of UHF RFIDs: Performance in Real-World Scenarios. In 2025 IEEE International Conference on RFID Technology and Applications (RFID TA). IEEE RFID-TA 2025, Valence, France. IEEE. https://doi.org/10.1109/RFID-TA63091.2025.11265915
This contribution presents phase-based planar trajectory estimation for real-world measurements of movements from tagged objects with passive Ultra High Frequency (UHF) Radio Frequency Identification (RFID) tags. A Motion Capture (MoCap) system serves as a source of high-precision ground truth for validation of the estimator’s performance. Since real-world data contains complex movements in three dimensions, one needs more computationally complex tracking algorithms. We demonstrate in this work that our two-dimensional phase-based particle filter framework is capable of performing planar tracking (x-y plane) of 3D movements by predefining height information for the whole filtering process, which is, in most applications, sufficient Comparison of two trajectories, moving a tagged box on a trolley and in the hands of an operator, shows good results on planar trajectory estimation.
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Project title:
Christian Doppler Labor für Ortssensitive Elektronische Systeme: CD-Labs für "Ortssensitive Elektronische Systeme" (Christian Doppler Forschungsgesells)
