five

WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information

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Zenodo2024-10-20 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.11554280
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Through-Wall Imaging based on WiFi Channel State Information This repository contains the WiFiCam dataset for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: https://github.com/StrohmayerJ/wificam The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach.    Dataset Structure /wificam ├── j3        └── 320  <-- 320x240 resolution subset               └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3               └── csiComplex.npy <-- complex CSI sequence (cache)               └── 92108.png <-- 320x240 RGB image               └── 92112.png               └── ...        └── 640 <-- 640x480 resolution subset               └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3               └── csiComplex.npy <-- complex CSI sequence (cache)               └── 154.png <-- 640x480 RGB image               └── 155.png               └── ... ├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images ├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images   Download and UseThis data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1]. [1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775. BibTeX: @INPROCEEDINGS{10647775, author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin}, booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, title={Through-Wall Imaging Based On WiFi Channel State Information}, year={2024}, volume={}, number={}, pages={4000-4006}, doi={10.1109/ICIP51287.2024.10647775}}
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Zenodo
创建时间:
2024-10-20
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