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Official code for the paper: Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion

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πŸ”₯ [EWSN'23] Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion

image Click to play πŸ‘†

Environment βš™οΈ

  • PyTorch 1.12.0 + CUDA 11.3

Dataset πŸ“

chmod +x download_dataset.sh
./download_dataset.sh

Training πŸ‹οΈβ€β™€οΈ

py train_fusionc.py --fusion_method=spatial_variance_self_guidence --data=fusion.yaml --cfg=models/yolov5s.yaml --batch=8 --epochs=100  --dropout_rate=0.2 --dropout_on_layer=3,4 --dropout_T=5

Evaluation πŸ“ˆ

python val.py --data=fusion.yaml --weights=[runs/train/xxx/weights/best.pt]  --task=test --save_stat --save_conf --save_txt

Citation πŸ“

@inproceedings{10.5555/3451271.3451272,
author = {Kaiwen Cai, Qiyue Xia, Peize Li, John Stankovic, Chris Xiaoxuan Lu},
title = {Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion},
year = {2023},
booktitle = {Proceedings of the 2023 International Conference on Embedded Wireless Systems and Networks}
}

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Official code for the paper: Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion

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