VoxelNet-tensorflow
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camera to lidar coordinate convertion for another lidar sensor
how did u come up with the matrices for camera and lidar coordinate convertion in config.py? (__C.MATRIX_P2, __C.MATRIX_T_VELO_2_CAM, __C.MATRIX_R_RECT_0 )
the thing is I want to try the VoxelNet with another lidar sensor but I don't know how to adjust this matrices.
@artdengo I have the same question with you, have you already solved it?
I think the author just calculates the average of each matrix over all images. The calibration matrices for each image and lidar can be downloaded from kitti website.
@xueyingliu I didn't solve it yet.
@LinHungShi so do you think that it is possible to completely remove the usage of these calibration matrices?? and how would you do that? because I got my own lidar and label data, that are already calibrated and I assume that images are only used for visualization purposes, no?
if you want to detect objects in lidar, you don't need those matrices. calibration is needed because the label in kitti is in camera coordinate.
@LinHungShi really thanks for your reply, now it is clear.