# DART: Implicit Doppler Tomography for Radar Novel View Synthesis

Source: [DART: Implicit Doppler Tomography for Radar Novel View Synthesis](<https://www.sota2.com/research/paper/68fa72771e209131cea56895>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T02:27:04.021Z

Authors: Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe

Published: 2024-03-06T17:54:50.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Radar Novel View Synthesis on RadarSim Dataset (Spatial Split (Extreme novel-views))](<https://www.sota2.com/research/sota/radar-novel-view-synthesis-on-radarsim-dataset-spatial-split-extreme-novel-views.md>): Radar Novel View Synthesis; RadarSim Dataset (Spatial Split (Extreme novel-views)); SSIM: 0.747.

- [Radar Novel View Synthesis on RadarSim Dataset (Temporal Split)](<https://www.sota2.com/research/sota/radar-novel-view-synthesis-on-radarsim-dataset-temporal-split.md>): Radar Novel View Synthesis; RadarSim Dataset (Temporal Split); SSIM: 0.799.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2403.03896>)

[PDF](<https://arxiv.org/pdf/2403.03896.pdf>)
