I/Q-1M: one million i/q frames¶



Info
We are currently working to prepare the dataset for public release and distribution. For the time being, please contact Tianshu Huang (tianshu2@andrew.cmu.edu) for access.
The I/Q-1M dataset consists of 1M radar-lidar-camera samples1 over 29 hours across indoor, outdoor, and bike-mounted settings, each with a mobile observer:
indoor
: inside buildings at a slow to moderate walking pace, visiting multiple floors and areas within each.outdoor
: neighborhoods ranging from single family detached to high density commercial zoning at a moderate to fast walking pace.bike
: bike rides in different directions from a set starting point with a moderate biking pace.
Tip
See our paper for more details about the dataset. Make sure to download the arxiv version to see the attached (and linked) appendix!
Setting | Size | Length | Average Speed | Max Doppler | Max Range |
---|---|---|---|---|---|
indoor |
310k | 8.9h | 1.0m/s | 1.2m/s | 11.2m |
outdoor |
372k | 10.7h | 1.4m/s | 1.8m/s | 22.4m |
bike |
333k | 9.3h | 5.4m/s | 8.0m/s | 22.4m |
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The radar was collected at 20Hz, the Lidar at 10Hz, and the camera at 30Hz; as such, Lidar is limiting sensor to arrive at our 1M sample count. ↩