DART: Implicit Doppler Tomography for Radar Novel View Synthesis

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...

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Bibliographic Details
Published inarXiv.org
Main Authors Huang, Tianshu, Miller, John, Akarsh Prabhakara, Jin, Tao, Laroia, Tarana, Kolter, Zico, Rowe, Anthony
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 06.03.2024
Subjects
Algorithms
Data collection platforms
Datasets
Image quality
Material properties
Position measurement
Radar imaging
Radar range
Radar tracking
Radio frequency
Rapid prototyping
Synthesis
Target detection
Tomography
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Summary: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.
ISSN:2331-8422