Radar Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
  16 Jun 2022 2 repositories listed
  In this work, we introduce KAIST-Radar (K-Radar), a novel large-scale object detection dataset and benchmark that contains 35K frames of 4D Radar tensor (4DRT) data with power measurements along the Doppler, range,…
• SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
  31 Jan 2025 1 repository listed
  Recently, 4D Radar has emerged as a crucial sensor for 3D object detection in autonomous vehicles, offering both stable perception in adverse weather and high-density point clouds for object shape recognition.
• TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
  29 Jan 2025 1 repository listed
  Despite significant advancements in environment perception capabilities for autonomous driving and intelligent robotics, cameras and LiDARs remain notoriously unreliable in low-light conditions and adverse weather,…
• RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model
  17 Apr 2023 1 repository listed
  This improvement was associated with the increasing use of LiDAR sensors and point cloud data to facilitate the task of object detection and recognition in autonomous driving.
• T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
  29 Mar 2023 1 repository listed
  Object detection utilizing Frequency Modulated Continous Wave radar is becoming increasingly popular in the field of autonomous systems.
• A recurrent CNN for online object detection on raw radar frames
  21 Dec 2022 1 repository listed
  Exploiting the time information (e.
• DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps
  19 Jul 2022 1 repository listed
  Due to the small number of raw data automotive radar datasets and the low resolution of such radar sensors, automotive radar object detection has been little explored with deep learning models in comparison to camera…
• RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
  2 May 2021 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper, we collect a novel radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding…
• RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
  9 Feb 2021 1 repository listed
  Finally, we propose a method to evaluate the object detection performance of the RODNet.
• RODNet: Radar Object Detection Using Cross-Modal Supervision
  3 Mar 2020 1 repository listed
  Radar is usually more robust than the camera in severe driving scenarios, e.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.