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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
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving—0
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
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
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
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