RaDICaL: A Synchronized FMCW Radar, Depth, IMU and RGB Camera Data Dataset with Low-Level FMCW Radar Signals (ROS bag format)
Dataset Description |
This dataset consists of raw ADC readings from a 3 transmitter 4 receiver 77GHz FMCW radar, together with synchronized RGB camera and depth (active stereo) measurements.
# Related code https://github.com/moodoki/radical_sdk # Hardware Project Page https://publish.illinois.edu/radicaldata |
Subject |
Technology and Engineering |
Keywords |
radar; FMCW; sensor-fusion; autonomous driving; dataset; RGB-D; object detection; odometry |
License |
CC BY |
Corresponding Creator |
Teck Yian Lim |
Downloaded |
5388 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-3289560_V1 | 2021-03-06 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | create: {"material_type"=>"Preprint", "availability"=>nil, "link"=>"https://doi.org/10.48550/arXiv.2511.08769", "uri"=>"10.48550/arXiv.2511.08769", "uri_type"=>"DOI", "citation"=>"Sen, A., Mohammad, M.S., & Mukhopadhyay, S. (2025). SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection. https://doi.org/10.48550/arXiv.2511.08769", "dataset_id"=>1710, "selected_type"=>"Other", "datacite_list"=>"IsCitedBy", "note"=>nil, "feature"=>nil} | 2025-12-03T17:17:21Z |
| RelatedMaterial | update: {"note"=>[nil, ""]} | 2025-12-03T17:17:21Z |
| RelatedMaterial | update: {"note"=>[nil, ""]} | 2025-12-03T17:17:21Z |
| Dataset | update: {"publisher"=>["University of Illinois at Urbana-Champaign", "University of Illinois Urbana-Champaign"], "external_files_link"=>[nil, ""], "external_files_note"=>[nil, ""]} | 2025-12-03T17:17:21Z |