A curated list of radar datasets, detection, tracking and fusion.
Keep updating.
Author: Yi Zhou
Contact: [email protected]
Update some public-available codes, see useful_codes.md

• 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
• A list of automotive radar companies link

• 2021 ICRA Radar Perception for All-Weather Autonomy
• 2021 ICASSP Recent Advances in mmWave Radar Sensing for Autonomous Vehicles

• 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
• Virtual Radar: Real-Time Millimeter-Wave Radar Sensor Simulation for Perception-Driven Robotics
• Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition
• Scalable and Physical Radar Sensor Simulation for Interacting Digital Twins

• 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?

• 2020-Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
• 2016-Potential of Radar for Static Object Classification using Deep Learning Methods
• 2019-Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors
• 2020-CNN based Road User Detection using the 3D Radar Cube
• 2020-Probabilistic Oriented Object Detection in Automotive Radar
• 2020-RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
• 2020-Through Fog High Resolution Imaging Using MillimeterWave Radar
• 2020-Using Machine Learning to Detect Ghost Images in Automotive Radar
• 2019-Deep Learning-based Object Classification on Automotive Radar Spectra
• 2020-DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
• 2020-CNN based Road User Detection using the 3D Radar Cube
• 2018-Radar-based Feature Design and Multiclass Classification for Road User Recognition
• 2021-RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
• 2020-RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
• 2019-Experiments with mmwave automotive radar test-bed
• 2019-Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data
• 2020-MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring
• 2020-Pointillism: Accurate 3D Bounding Box Estimation with Multi-Radars
• 2021-A New Automotive Radar 4D Point Clouds Detector by Using Deep Learning
• 2021-Robust Multimodal Vehicle Detection in Foggy WeatherUsing Complementary Lidar and Radar Signals

• 2019-Automated Ground Truth Estimation For Automotive Radar Tracking ApplicationsWith Portable GNSS And IMU Devices
• 2020-Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar
• 2020-An RLS-Based Instantaneous Velocity Estimator for Extended Radar Tracking
• 2019-mID: Tracking and Identifying People with Millimeter Wave Radar
• 2020-LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
• 2021-Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars
• 2021-Road-Map Aided GM-PHD Filter for Multi-Vehicle Tracking with Automotive Radar
• 2021-Learning-based Extended Object Tracking Using HierarchicalTruncation Measurement Model with Automotive Radar
• 2021-Extended Object Tracking With Automotive Radar Using B-Spline Chained Ellipses Model

• 2020-Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels
• 2019-Automotive radar and camera fusion using Generative Adversarial Networks
• 2021-RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
• 2020-RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
• 2020-Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications
• 2020-Weakly Supervised Deep Learning Method for Vulnerable Road User Detection in FMCW Radar

• 2019-Distant Vehicle Detection Using Radar and Vision
• 2019-Radar and Camera Early Fusion for Vehicle Detection in Advanced Driver Assistance Systems
• 2019-A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
• 2020-Depth Estimation from Monocular Images and Sparse Radar Data
• 2019-Deep Learning Based 3D Object Detection for Automotive Radar and Camera
• 2019-RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
• 2020-CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
• 2020-Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
• 2019-People Tracking by Cooperative Fusion of RADAR and Camera Sensors
• 2019-A DNN-LSTM based Target Tracking Approach using mmWave Radar and Camera Sensor Fusion
• 2021-Radar Camera Fusion via Representation Learning in Autonomous Driving
• 2020-Radar+ RGB Fusion For Robust Object Detection In Autonomous Vehicle
• 2021-milliEye: A Lightweight mmWave Radar and Camera Fusion System for Robust Object Detection

• 2020-High Dimensional Frustum PointNet for 3D Object Detection from Camera, LiDAR, and Radar
• 2020-Seeing Through FogWithout Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
• 2016-Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking
• 2021-Radar Voxel Fusion for 3D Object Detection