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Take a look also at clustering configuration:
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I am using lidar data from carla simulation to do object detection. I copied some code from autoware-carla interface.
I have three lidar attached to vehicle with following attributes
lidar is releasing enough data for localization to work without any issue.
But lidar_centerpoint which does 3d object detection with pointcloud data is not detecting object at long enough range. The maximum range it is detecting is 20m-30m. I want detection range to be much larger (70m-100m). I updated centerpoint_ml_package.param.yaml config file. But It doesn't help.
Currently, I have the following parameter
I saw that as object gets far away, number of pcd points on objects go down. So, I lowered voxel size in voxel grid downsampling configuration of pointcloud-preprocessor. But that did not help either.
I was able to do long range detection by editing voxel_size and max_voxel_size in centerpoint_ml_package.param.yaml . But after rebuilding autoware, its not working anymore. Back then I was using a single lidar (points_per_second=1,000,000)
How can I fix this?
There is a vehicle by the arrow not being detected.
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