A curated list of radar datasets, detection, tracking and fusion.
Keep updating.
Author: Yi Zhou
Contact: zhouyi1023@tju.edu.cn
- TI AWR2243
- Arbe Phoenix
- Continental ARS 540
- Oculli Falcon
- Oculli Eagle
- Vayyar
- Astyx (Acquired by Cruise)
- Huawei 4D radar news
- ZF PREMIUM news
- Waymo news
| Dataset | Affiliation | Links |
|---|---|---|
| Oxford Radar Robocar | University of Oxford | Website; Paper; Github |
| RADIATE | Heriot Watt University | Website; Paper; Github |
| MulRan | KAIST | Website; Paper; Github |
| nuScenes | Aptiv | Website; Paper |
| DENSE | Ulm University | Website; Paper |
| Zendar SAR | Zendar | Website; Paper; Github |
| CRUW | University of Washington | Website; Paper; Github |
| CARRADA | Valeo | Website; Paper; Github |
| Radar Scenes | Mercedes-Benz AG | Website; Paper ; Github |
| RaDICaL | UIUC | Website; Papers; Github |
| Hires2019 | Astyx | Dateset; Paper |
| USVInland | Orca-Tech | Website; Paper |
| DopNet | UCL | Website; Paper |
| Book Title | Author |
|---|---|
| Fundamentals of Radar Signal Processing | Mark A. Richard |
| Radar Systems Analysis and Design using Matlab | Bassem R. Mahafza |
| The Micro-Doppler Effect in Radar | Victor C. Chen |
| Robotic Navigation and Mapping with Radar | Martin Adams etc. |
- Introduction to mmwaveSensing: FMCW Radars
- The fundamentals of millimeter wave sensors
- Using a complex-baseband architecture in FMCW radar systems
- MIMO radar
- IEEE Signal Processing Magazine Special Issues
Autonomous Driving Part I Sensing and Perception
Radar Systems for Modern Civilian Applications Part I Part II - Antenna Concepts for Millimeter-Wave Automotive Radar Sensors
- Micro-Doppler Effect in Radar: Phenomenon, Model, and Simulation Study
- Application of Deep Learning on Millimeter-Wave Radar Signals: A Review
- A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
- Automotive Radar Signal Processing:Research Directions and Practical Challenges
- Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band
- Recent Evolution of Automotive ImagingRadar and Its Information content
- There and Back Again: Learning to Simulate Radar Data for Real-World Applications
- Diversified Radar Micro-Doppler Simulations as Training Data for Deep Residual Neural Networks
- Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving
- Auto-Calibration of Automotive Radars in Operational Mode Using Simultaneous Localisation and Mapping
- Multi-Radar Self-Calibration Method using High-Definition Digital Maps for Autonomous Driving
- Obstacle Detection Using Millimeter-wave Radar and Its Visualization on Image Sequence
- Radar and vision sensors calibration for outdoor 3D reconstruction
- Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking
- Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems
- A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration
- Extrinsic 6DoF calibration of 3D LiDAR and radar
- Extrinsic and Temporal Calibration of Automotive Radar and 3D LiDAR
- Automatic Targetless Extrinsic Calibration of Multiple 3D LiDARs and Radars
- Extrinsic 6DoF Calibration of a Radar – LiDAR– Camera System Enhanced by Radar Cross Section Estimates Evaluation
- An Joint Extrinsic Calibration Tool for Radar, Camera and Lidar
- Online multi-sensor calibration based on moving object tracking
- Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation
- Probably Unknown: Deep Inverse Sensor Modelling Radar
- Semantic Segmentation on 3D Occupancy Grids for Automotive Radar
- Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
- Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
- Potential of Radar for Static Object Classification using Deep Learning Methods
- Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors
- CNN based Road User Detection using the 3D Radar Cube
- Probabilistic Oriented Object Detection in Automotive Radar
- RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
- Through Fog High Resolution Imaging Using MillimeterWave Radar
- Using Machine Learning to Detect Ghost Images in Automotive Radar
- Deep Learning-based Object Classification on Automotive Radar Spectra
- DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
- CNN based Road User Detection using the 3D Radar Cube
- Radar-based Feature Design and Multiclass Classification for Road User Recognition
- Automated Ground Truth Estimation For Automotive Radar Tracking ApplicationsWith Portable GNSS And IMU Devices
- Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar
- An RLS-Based Instantaneous Velocity Estimator for Extended Radar Tracking
- mID: Tracking and Identifying People with Millimeter Wave Radar
- LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
- Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels
- Automotive radar and camera fusion using Generative Adversarial Networks
- RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
- RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
- Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications
- Weakly Supervised Deep Learning Method for Vulnerable Road User Detection in FMCW Radar
- Distant Vehicle Detection Using Radar and Vision
- Radar and Camera Early Fusion for Vehicle Detection in Advanced Driver Assistance Systems
- A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
- Depth Estimation from Monocular Images and Sparse Radar Data
- Deep Learning Based 3D Object Detection for Automotive Radar and Camera
- RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
- CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
- Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
- People Tracking by Cooperative Fusion of RADAR and Camera Sensors