LocUNet
- Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
Ç. Yapar, R. Levie, G. Kutyniok, G. Caire
- Code
- Compute capsule
- RadioLocSeer Dataset [1GB]
- RadioToASeer Dataset [3GB]
Dataset Paper and Citation
If you use our datasets, please cite our dataset paper: Ç. Yapar, R. Levie, G. Kutyniok, G. Caire,"Dataset of pathloss and ToA radio maps with localization application" arXiv preprint:2212.11777, Nov. 2022.
@article{DatasetPaper,
url = {https://arxiv.org/abs/2212.11777},
journal={arXiv preprint:2212.11777},
author = {Yapar, {\c{C}}a{\u{g}}kan and Levie, Ron and Kutyniok, Gitta and Caire, Giuseppe},
title = {Dataset of Pathloss and {ToA} Radio Maps With Localization Application},
publisher = {arXiv},
year = {2022}
}
After the release of the RadioLocSeer and RadioToASeer, we have generated additional radio map datasets and set them available on IEEE DataPort. If you use any of the datasets, please cite the dataset along with the dataset paper.
@article{DataPort,
url = {https://dx.doi.org/10.21227/0gtx-6v30},
journal={IEEE DataPort},
author = {Yapar, {\c{C}}a{\u{g}}kan and Levie, Ron and Kutyniok, Gitta and Caire, Giuseppe},
title = {Dataset of Pathloss and {ToA} Radio Maps With Localization Application},
note = "\url{https://dx.doi.org/10.21227/0gtx-6v30}",
year = {2022}
}
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