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Lidar point clouds continue to grow and visualizing lidar point in realtime can use a lot of data. Practical amount using for example 4 spinning 128 channel lidars on a vehicle will grow above 1Gb/s.
So I would propose to support some sort of compressed point cloud (gzip:ed, quantization) -> foxglove.CompressedPointCloud.
Lidar point clouds continue to grow and visualizing lidar point in realtime can use a lot of data. Practical amount using for example 4 spinning 128 channel lidars on a vehicle will grow above 1Gb/s.
So I would propose to support some sort of compressed point cloud (gzip:ed, quantization) -> foxglove.CompressedPointCloud.
Discussion in Slack:
https://foxglove.slack.com/archives/C028UEY858S/p1650896371230199
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