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.
CREVE: An Acceleration-based Constraint Approach for Robust Radar Ego-Velocity Estimation
Department of Intelligent Mechatronics Engineering（智能机电工程系）；Department of Convergence Engineering for Intelligent Drone（智能无人机融合工程系）；Department of Artificial Intelligence and Robotics（人工智能与机器人学系）；AIRI（智能机器人研究院）；Sejong University（世宗大学）
RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping
State Key Laboratory of Ocean Sensing, Zhejiang University（浙江大学海洋传感国家重点实验室）；Interdisciplinary Student Training Platform for Marine areas, Zhejiang University（浙江大学海洋交叉学科学生培养平台）；Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology（香港科技大学电子与计算机工程系）；School of AI and Robotics, Hunan University（湖南大学人工智能与机器人学院）；Ocean College, Zhejiang University（浙江大学海洋学院）；Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences（中国科学院深海科学与工程研究所）
mmPlace: Robust Place Recognition with Intermediate Frequency Signal of Low-cost Single-chip Millimeter Wave Radar
School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院）；Technology Directions Office (TDO) of Google（谷歌技术方向办公室）
A 4D Radar Camera Extrinsic Calibration Tool Based on 3D Uncertainty Perspective N Points
School of Automation and Intelligent Sensing, Institute of Medical Robotics, Shanghai Jiao Tong University（自动化与智能感知学院、医疗机器人研究院、上海交通大学）；Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240（系统控制与信息处理重点实验室、中华人民共和国教育部、上海200240）；Ruijin Hospital, Shanghai Jiao Tong University School of Medicine（瑞金医院、上海交通大学医学院）；Renji hospital, Shanghai Jiao Tong University School of Medicine（仁济医院、上海交通大学医学院）
Registering the 4D Millimeter Wave Radar Point Clouds Via Generalized Method of Moments
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University（上海交通大学自动化与智能感知学院）；Institute of Medical Robotics, Shanghai Jiao Tong University（上海交通大学医疗机器人研究院）；Department of Statistics, Uppsala University（乌普萨拉大学统计系）
4D Millimeter-Wave Radar in Autonomous Driving: A Survey
School of Vehicle and Mobility, Tsinghua University（清华大学车辆与 mobility学院）；Xingjian College, Tsinghua University（清华大学行健书院）；Changan Automobile Co., Ltd.（长安汽车股份有限公司）
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection
The Global Institute of Future Technology, Shanghai Jiao Tong University（上海交通大学未来全球技术研究院）；Shanghai Jiao Tong University（上海交通大学）；Key Laboratory of System Control and Information Processing, Ministry of Education of China（教育部系统控制与信息处理重点实验室）
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
University of Technology Sydney（悉尼科技大学）；University of Nottingham Ningbo China（宁波诺丁汉大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；University of New South Wales（新南威尔士大学）；RMIT University（皇家墨尔本理工大学）
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough Roads
School of Information Science and Technology, Northwest University（信息科学与技术学院，西北大学）；Department of Electrical and Computer Engineering, The University of British Columbia（电气与计算机工程系，不列颠哥伦比亚大学）
