Study on the Impact of Database Errors on the Accuracy of 3D Indoor Positioning
This article explores factors affecting 3D indoor positioning accuracy using image processing. It examines why vertical (H) accuracy exceeds horizontal (X, Y) in 3D positioning. By collecting 256 RSSI values and generating 16x16 grayscale images, the study evaluates factors affecting accuracy across dimensions. Results reveal significant variations in vertical images, aiding deep learning classification, while horizontal images near reference points (RP) show similarities, impacting model training.
Authors
- S. B. Liu (ORCID: https://orcid.org/0009-0000-7471-5760)
- Chunxue Bo
Institutions
- Qilu Normal University (CN)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/ictc62082.2024.10826755
- Primary Topic
- Simulation and Modeling Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00