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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
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding—0
DSFEC: Efficient and Deployable Deep Radar Object Detection—0
Exploiting Sparsity in Automotive Radar Object Detection Networks—0
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks—0
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar—0
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection—0
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection—0
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