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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
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
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
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
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