This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Abstract: This work presents a robust variable thickness design method of airborne radomes to improve the worst case electromagnetic (EM) performance under thickness and material property errors.

Here is the description of the challenge. We have a 2D array, 12501x69, 12501 time samples at a sampling rate of 0.002 s from 69 stations. The data is micro69.npy, and the coordinate file is micro69xy ...