SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 29 papers

TitleStatusHype
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
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
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks—0
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather ConditionsCode2
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.