Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Abstract: A method based on deep neural network (DNN) optimized model predictive control (MPC) and standoff fusion is proposed to address the problem of tracking moving target trajectory planning for ...