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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 21–29 of 29 papers

TitleStatusHype
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
Scene-aware Learning Network for Radar Object Detection—0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
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
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
RODNet: Radar Object Detection Using Cross-Modal SupervisionCode1
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