most citedGeneration of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 3 cited

Generation of Realistic Synthetic Raw Radar Data for Automated Driving Applications using Generative Adversarial Networks

Eduardo C. Fidelis, Fabio Reway, Herick Y. S. Ribeiro +5

The main approaches for simulating FMCW radar are based on ray tracing, which is usually computationally intensive and do not account for background noise. This work proposes a fas…