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

1 code implementation • 4 Aug 2023 • Eduardo C. Fidelis, Fabio Reway, Herick Y. S. Ribeiro, Pietro L. Campos, Werner Huber, Christian Icking, Lester A. Faria, Torsten Schön

The results have shown that the data is realistic in terms of coherent radar reflections of the motorcycle and background noise based on the comparison of chirps, the RA maps and the object detection results.

Data Augmentation Edge Detection +2