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I am currently training a deep learning network for point cloud segmentation using Rellis-3d, and I am conducting inference on point clouds that I have obtained using my lidar sensor.
The lidar I use (both Rellis-3d and the lidar I use) is os1 64.
The lidar point cloud I have acquired has intensity values greater than 1.
However, the intensity in Rellis-3d is observed to be between 0 and less than 1, and I'm curious about how the values were normalized!
(For example, did you acquire lidar data and then complete Rellis-3d by dividing all intensity values by the largest intensity value?)
This is a visualization of the intensity distribution from a randomly selected bin file in the Rellis-3d dataset:
And this is my lidar data:
The text was updated successfully, but these errors were encountered:
Hello RELLIS-3D,
I am currently training a deep learning network for point cloud segmentation using Rellis-3d, and I am conducting inference on point clouds that I have obtained using my lidar sensor.
The lidar I use (both Rellis-3d and the lidar I use) is os1 64.
The lidar point cloud I have acquired has intensity values greater than 1.
However, the intensity in Rellis-3d is observed to be between 0 and less than 1, and I'm curious about how the values were normalized!
(For example, did you acquire lidar data and then complete Rellis-3d by dividing all intensity values by the largest intensity value?)
This is a visualization of the intensity distribution from a randomly selected bin file in the Rellis-3d dataset:
And this is my lidar data:
The text was updated successfully, but these errors were encountered: