Rui Song

Hi, you’re correct. The 2D depth images will be projected into 3D space using camera calibration parameters and then processed to create voxel occupancy data. The get_pvox function will then...

Here is one code example, hope it can be helpful: ```` # Convert points to voxels: def point2vox(p_xyz, max_bound=np.array([20, 20, 0.9]), min_bound=np.array([-20, -20, -2.5]), grid_size=np.array([100, 100, 8]), fill_label=0): """ Convert...

These parameters are determined by the configuration of your sensors. The values depend on how your cameras are positioned on the vehicles.