Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

Abstract: Limited availability of automotive radar sensor datasets is hindering the advancement of deep learning-based radar sensing approaches for assisted and automated driving. To address this ...