weisongwen / UrbanNavDataset

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong
https://www.polyu-ipn-lab.com/download
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Inquiry Regarding Labeled LOS/NLOS Dataset and CSV Format Data #28

Open lizajka opened 5 months ago

lizajka commented 5 months ago

Good day,

My name is Yelyzaveta Pervysheva, and I am currently working on multipath using AI technologies. I recently came across your dataset in RINEX format and found it to be quite intriguing for my research purposes.

I am particularly interested in obtaining a labeled dataset that distinguishes between Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) scenarios. Given the complexity of my research, having access to such a dataset would significantly contribute to the advancement of my work.

Additionally, I was wondering if it would be possible to acquire the same dataset in CSV format, since i struggle of convert those obs files.

Could you please let me know if such a labeled LOS/NLOS dataset is available? Furthermore, if the dataset can be provided in CSV format or if there are any conversion tools available, I would greatly appreciate your assistance in this matter.

Thank you very much for your time and consideration. You can contact me at yelyzaveta.pervysheva@tuni.fi

Warm regards,

Yelyzaveta Pervysheva

ivannhf commented 5 months ago

Hi Yelyzaveta,

About the LOS and NLOS visibility labelling, only selected data is available at this moment, you can check with this link: https://www.dropbox.com/scl/fi/sv412qfevakwfen8uky1a/20210521.medium-urban.whampoa.ublox.f9p_visibilityLabel.csv?rlkey=6jtwww04rxk4r2bwlu1wg5rhn&st=50x3ofz1&dl=0

For the CSV format of the data, the RINEX format is a standard format for different processing toolboxes to handle directly. Maybe some open-sourced toolboxes or libraries are a good starting point, such as:

  1. pyrtklib (python): https://github.com/IPNL-POLYU/pyrtklib_demo5
  2. GraphGNSSLib (C++): https://github.com/IPNL-POLYU/GraphGNSSLib But surely, we can always consider publishing a CSV format that includes as many fields and information as possible to satisfy different fields' users.

Once again, thanks for your attention to our dataset.

Regards, Ivan

LizaTuni commented 2 months ago

Thank you @ivannhf so much for your reply . Can you please share with me any related to this datasets works and documentation how this dataset collected so I can cite it in my article

DarrenWong commented 2 months ago

Thank you @ivannhf so much for your reply . Can you please share with me any related to this datasets works and documentation how this dataset collected so I can cite it in my article

You can refer to the citation below, Hsu, L. T., Huang, F., Ng, H. F., Zhang, G., Zhong, Y., Bai, X., & Wen, W. (2023). Hong Kong UrbanNav: An Open-Source Multisensory Dataset for Benchmarking Urban Navigation Algorithms. Navigation, Journal of the Institute of Navigation, 70(4), Article navi.602. https://doi.org/10.33012/navi.602