mlsanityData to 14 Oct 2026

DART: Implicit Doppler Tomography for Radar Novel View Synthesis

arXiv 2403.03896 ↗First posted 6 Mar 2024cs.CV cs.LGcited by 19

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Abstract (arXiv)

Simulation is an invaluable tool for radio-frequency system designers that enables rapid prototyping of various algorithms for imaging, target detection, classification, and tracking. However, simulating realistic radar scans is a challenging task that requires an accurate model of the scene, radio frequency material properties, and a corresponding radar synthesis function. Rather than specifying these models explicitly, we propose DART - Doppler Aided Radar Tomography, a Neural Radiance Field-inspired method which uses radar-specific physics to create a reflectance and transmittance-based rendering pipeline for range-Doppler images. We then evaluate DART by constructing a custom data collection platform and collecting a novel radar dataset together with accurate position and instantaneous velocity measurements from lidar-based localization. In comparison to state-of-the-art baselines, DART synthesizes superior radar range-Doppler images from novel views across all datasets and additionally can be used to generate high quality tomographic images.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Builds on 23 of its 89 references that are in the map. First posted on arXiv 6 Mar 2024.

Builds on

23 of 89 references.

References · 23

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  2. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  3. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  4. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,232
  5. 2020Neural Sparse Voxel Fieldscited by 959
  6. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
  7. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 724
  8. 2023Nerfstudio: A Modular Framework for Neural Radiance Field Developmentcited by 600
  9. 2021Raw High-Definition Radar for Multi-Task Learningcited by 69
  10. 2023Neural LiDAR Fields for Novel View Synthesiscited by 67
  11. 2022Learning Neural Acoustic Fieldscited by 65
  12. 2023NeRF2: Neural Radio-Frequency Radiance Fieldscited by 57
11 more
  1. 2021Radar-Camera Pixel Depth Association for Depth Completioncited by 50
  2. 2019Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radarcited by 40
  3. 2023Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervisioncited by 36
  4. 2019See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radarcited by 35
  5. 2022Pointillism: Accurate 3D bounding box estimation with multi-radarscited by 23
  6. 2022High Resolution Point Clouds from mmWave Radarcited by 23
  7. 2022Exploiting Temporal Relations on Radar Perception for Autonomous Drivingcited by 22
  8. 2022Neural Implicit Surface Reconstruction using Imaging Sonarcited by 19
  9. 2023Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonarcited by 16
  10. 2021MIMO-SAR: A Hierarchical High-resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Drivingcited by 8
  11. 2021DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radarcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 11; 2026: 7.

19 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. 2024Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Surveycited by 9
  3. 2025TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusioncited by 9
  4. 2025NeuRadar: Neural Radiance Fields for Automotive Radar Point Cloudscited by 7
  5. 2025Towards Foundational Models for Single-Chip Radarcited by 6
  6. 2025SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splattingcited by 5
  7. 20254D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervisioncited by 4
  8. 2025RF4D:Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenescited by 4
  9. 2025Controllable Radar Simulation with Waveform Parameter Embeddingcited by 2
  10. 2025RISE: Single Static Radar-based Indoor Scene Understandingcited by 2
  11. 2025RadarGen: Automotive Radar Point Cloud Generation from Camerascited by 2
  12. 2026RadarSim: Simulating Single-Chip Radar via Multimodal Neural Fieldscited by 2
7 more
  1. 2025SH-SAS: An Implicit Neural Representation for Complex Spherical-Harmonic Scattering Fields for 3D Synthetic Aperture Sonarcited by 1
  2. 2026RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustmentcited by 1
  3. 2026mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesiscited by 1
  4. 2026GeRaF: Neural Geometry Reconstruction from Radio Frequency Signalscited by 0
  5. 2026Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signalscited by 0
  6. 20263D Point Splatting for mmWave Radar Novel View Synthesiscited by 0
  7. 2026DyRAD: Radar Novel View Synthesis for Dynamic Driving Scenescited by 0