mlsanityData to 7 Oct 2026

A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics

arXiv 2305.01135 ↗First posted 2 May 2023cs.ROcited by 18

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Abstract (arXiv)

We survey the current state of millimeterwave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art. Frequency Modulated Continuous Wave (FMCW) mmWave radars operating in the 76--81GHz range are an appealing alternative to lidars, cameras and other sensors operating in the near visual spectrum. Radar has been made more widely available in new packaging classes, more convenient for robotics and its longer wavelengths have the ability to bypass visual clutter such as fog, dust, and smoke. We begin by covering radar principles as they relate to robotics. We then review the relevant new research across a broad spectrum of robotics applications beginning with motion estimation, localization, and mapping. We then cover object detection and classification, and then close with an analysis of current datasets and calibration techniques that provide entry points into radar research.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 1; 2025: 8; 2026: 7.

18 papers.

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  1. 2025RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenescited by 15
  2. 2025TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusioncited by 9
  3. 2025Ultra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landingcited by 6
  4. 2025M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstructioncited by 6
  5. 2025HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAMcited by 5
  6. 2024MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Applicationcited by 2
  7. 2023ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditionscited by 1
  8. 2023Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weightscited by 1
  9. 2025Simulating Automotive Radar with Lidar and Camera Inputscited by 1
  10. 2025ELMAR: Enhancing LiDAR Detection with 4D Radar Motion Awareness and Cross-modal Uncertaintycited by 0
  11. 2025Radar-Camera Fused Multi-Object Tracking: Online Calibration and Common Featurecited by 0
  12. 2026RaUF: Learning the Spatial Uncertainty Field of Radarcited by 0
6 more
  1. 2026Dr-BA: Separable Optimization for Direct Radar Bundle Adjustment & Localizationcited by 0
  2. 2026Sensor-Conditioned Representation Learning via Scene-Relevant Observation Quotientscited by 0
  3. 2026IRGNN: Efficient Invariant Radar Graph Neural Network for Radar Point Cloud Object Detectioncited by 0
  4. 20263D Point Splatting for mmWave Radar Novel View Synthesiscited by 0
  5. 2026Do Spinning Radar Doppler Velocity Measurements Improve Vehicle Detection and Tracking?cited by 0
  6. 2026DiFF: Doppler-informed Flow Matching for Human Motion Flowcited by 0