Welcome to the github page for the "Open Radar Datasets", a part of the "Open Radar Initative". There are currently two datasets available;
- Outdoor Moving Object Dataset
- Assisted living dataset
This dataset is released under CC BY-NC 4.0 license
Attributions can be done by citing the paper as described below.
A dataset in a "ground surveillance" setting. The dataset has been collected with a stationary radar and targets moving in front of the radar. The dataset has been collected using both collaborative and non-collaborative targets.
To load and view some samples of the datasets:
| Person walking | Person bicycling |
|---|---|
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| UAV sample | Vehicle sample |
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| Number of samples | RCS estimate |
|---|---|
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| SNR | Radial Velocity |
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The dataset is a a python dictionary and primarily contains doppler spectra, but there is also some other information that might be useful. The ".npy" file contains a dictionary of signatures, each signature corresponds to a full radar-track and contains again contains:
| Field name | Explanation |
|---|---|
| signature | Numpy array of the doppler spectra for that track |
| ts | Timestamp for each spectra |
| range | Measured range for the detection |
| azimuth | Measured azimuth for the detectin |
| velocity | Measured radial velocity |
| snr_db | Estimated SNR in dB, estimated from a 1D CFAR |
| x | Kalman-filtered x-position |
| y | Kalman-filtered x-position |
| z | Kalman-filtered x-position |
| class_name | Class name string |
| radar_parameters | Dict with the radar parameters |
The radar_parameters dict contain sensor and waveform-specific parameters
| Field name | Explanation |
|---|---|
| num_range_bins | Number of range bins |
| num_pulses | Number of pulses in each frame |
| num_antenna_elements | Number of receiver elements sampled |
| fc | Center frequency |
| bw | Sampled Bandwidth |
| prf | PRF |
To attribute this dataset for you own use, please cite this paper:
@INPROCEEDINGS{Gusland,
author = {Gusland, Daniel and Christiansen, Jonas M and Torvik, B{\o}rge and Fioranelli, Francesco, and Gurbuz, Sevgi and Ritchie, Matthew},
booktitle={2021 IEEE International Radar Conference (RADAR)},
title = {{Open Radar Initiative : Large Scale Dataset for Benchmarking of micro-Doppler Recognition Algorithms}},
year={2021},
}
The assisted living dataset can be found here