ColoRadar: The Direct 3D Millimeter Wave Radar Dataset
Andrew Kramer, Kyle Harlow, Christopher Williams, and Christoffer, Heckman

TL;DR
ColoRadar introduces a comprehensive 3D millimeter wave radar dataset with high-resolution scans, lidar, IMU, and groundtruth, enabling advancements in robotic mapping and odometry research.
Contribution
This paper provides the first publicly available dense 3D millimeter wave radar dataset with multimodal sensor data and precise groundtruth for diverse environments.
Findings
Enables new research in 3D radar-based odometry and mapping.
Provides high-resolution radar data alongside lidar and IMU.
Supports development of robust perception algorithms.
Abstract
Millimeter wave radar is becoming increasingly popular as a sensing modality for robotic mapping and state estimation. However, there are very few publicly available datasets that include dense, high-resolution millimeter wave radar scans and there are none focused on 3D odometry and mapping. In this paper we present a solution to that problem. The ColoRadar dataset includes 3 different forms of dense, high-resolution radar data from 2 FMCW radar sensors as well as 3D lidar, IMU, and highly accurate groundtruth for the sensor rig's pose over approximately 2 hours of data collection in highly diverse 3D environments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
