Open WjzZwd opened 4 days ago
looking forward to your reply ,thanks!!!! @yanglei18
- step 1:
ground_points_lidar
represents some points in ego coordinate system.- step 2:
ground_points_cam = np.matmul(sweepego2sweepsensor, ground_points_lidar.T).T
represents the same points in camera coordinate system.- step 4:
denorm
is based on theground_points_cam
- step 5:
ref_height
is based on thedenorm
.
- step 1:
ground_points_lidar
represents some points in ego coordinate system.- step 2:
ground_points_cam = np.matmul(sweepego2sweepsensor, ground_points_lidar.T).T
represents the same points in camera coordinate system.- step 4:
denorm
is based on theground_points_cam
- step 5:
ref_height
is based on thedenorm
.
thanks!for your reply ~ and i still get some doubt that
1.ego coordinate system corresponds to the green coordinate system in this picture, right?
2.based on the formula in picture
we can infer that the func
https://github.com/ADLab-AutoDrive/BEVHeight/blob/fa3bf883b0a804c2d23941d26d14f573c849ca78/dataset/nusc_mv_det_dataset.py#L80
aim to get the distace from the origin to the plane determined by denorm
.
so
----1)who is the origin(the coordinates of the inf camera? or other)?
----2)and who is the plane (xy plane in the ego system? or xy plane in the sensor system? )
thanks for your reply~~~
my question is based on the reproduction in DAIR-V2X dataset @yanglei18 thanks you !~
- All the origin and the plane used in
def get_reference_height(denorm):
is represented in camera coordinates system.- The origin corresponds to the origin of camera coordinates system.
- The plane is the xy plane of ego coordinates system.
- The ego coordinates system is the virtual LiDAR system in DAIR dataste.
I have a question about the get_reference_height function? https://github.com/ADLab-AutoDrive/BEVHeight/blob/fa3bf883b0a804c2d23941d26d14f573c849ca78/dataset/nusc_mv_det_dataset.py#L80 ` ref_height = np.abs(denorm[3])/np.sqrt(denorm[0]2 + denorm[1]2 + denorm[2]2)
** This function represents the distance from the origin to the plane According to this schematic from BEVHeight , It's the distance from the origin of the blue(sensor) coordinate system to the xy plane of the green(ego) coordinate system so denorm represents the xy plane of the green (ego)coordinate system BUT!!! in get_denorm https://github.com/ADLab-AutoDrive/BEVHeight/blob/fa3bf883b0a804c2d23941d26d14f573c849ca78/dataset/nusc_mv_det_dataset.py#L59 if you think of **
ground_points_lidar = np. array ([[0.0, 0.0, 0.0], [0.0, 1.0, 0.0], [1.0, 1.0, 0.0]])** represents the xy plane of the bule( sensor )coordinate system **
ground_points_cam = np.matmul(sweepego2sweepsensor, ground_points_lidar.T).T** then can be understood as the xy plane of the green (ego) coordinate system. So!!! i wonder whether **
np.matmul(sweepego2sweepsensor, ground_points_lidar.T).T** need to be changed to **
np.matmul(sweepsensor2sweepego, ground_points_lidar.T).T`**