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Radar Object Detection

The radar object detection (ROD) task aims to classify and localize the objects in 3D purely from radar's radio frequency (RF) images.

Papers

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Showing 1–25 of 29 papers

TitleStatusHype
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather ConditionsCode2
TransRAD: Retentive Vision Transformer for Enhanced Radar Object DetectionCode1
RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection ModelCode1
T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar SignalsCode1
A recurrent CNN for online object detection on raw radar framesCode1
DAROD: A Deep Automotive Radar Object Detector on Range-Doppler mapsCode1
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road UsersCode1
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D LocalizationCode1
RODNet: Radar Object Detection Using Cross-Modal SupervisionCode1
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object DetectionCode0
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving—0
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object DetectionCode0
DSFEC: Efficient and Deployable Deep Radar Object Detection—0
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection—0
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation—0
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding—0
Exploiting Sparsity in Automotive Radar Object Detection Networks—0
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks—0
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks—0
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar—0
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection—0
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