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Thank you for releasing the dataset. I would like to know whether the length, width, and height of the 3D Bboxes available in the annotations correspond to x, y, and z axes of the lidar coordinate system, respectively. If not, please provide some clarity with respect to which axes the length, width, and height are annotated.
Thank you!
The text was updated successfully, but these errors were encountered:
Hi, very valid question, we need to clarify this in the documentation :)
yaw = 0 corresponds to a vehicle that is oriented the same way as the ego-vehicle. This means that it follows the lidar coordinate system of the ego-vehicle meaning x-right, y-forward, z-up. Consequently the assignment of dimension to axis is:
x -> width
y -> length
z -> height
I think the notion of depth is quite ambiguous in the context of a 360 degree surround lidar. However, if you project the point into the camera coordinate system, then the z coordinate would indeed be considered depth.
If working in the context of lidar, you probably want euclidean distance instead (e.g. np.linalg.norm(point_cloud[:,3]))
Hi,
Thank you for releasing the dataset. I would like to know whether the length, width, and height of the 3D Bboxes available in the annotations correspond to x, y, and z axes of the lidar coordinate system, respectively. If not, please provide some clarity with respect to which axes the length, width, and height are annotated.
Thank you!
The text was updated successfully, but these errors were encountered: