里程计
雷达
遥感
激光雷达
极高频率
计算机科学
雷达成像
三维雷达
人工智能
连续波雷达
计算机视觉
地质学
电信
机器人
移动机器人
作者
Andrew M. Kramer,Kyle Harlow,Christopher Williams,Christoffer Heckman
出处
期刊:Cornell University - arXiv
日期:2021-03-07
标识
DOI:10.48550/arxiv.2103.04510
摘要
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.
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