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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 11–20 of 29 papers

TitleStatusHype
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object DetectionCode0
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?—0
Probabilistic Oriented Object Detection in Automotive Radar—0
Scene-aware Learning Network for Radar Object Detection—0
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning—0
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation—0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks—0
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