Trace invalid LiDAR coordinates through PCL cleanup, verify the is_dense flag, preserve point indices and test the actual finite-value filtering path.

Trace invalid LiDAR coordinates through PCL cleanup, verify the is_dense flag, preserve point indices and test the actual finite-value filtering path.

A practical workflow for diagnosing custom PointCloud2 decoders using preserved bytes, explicit field dictionaries and bounded comparisons.

Trace the first projection stage that rejects a known target. Distinguish no messages, empty scan bins, and downstream rejection before replacing a working LiDAR.

Check message contracts before deploying a LiDAR driver revision. Preserve baseline evidence, compare field and time semantics, and validate consumers on fixed inputs.

A boundary-by-boundary diagnostic for a valid PointCloud2 that never produces Nav2 occupied cells, with a stationary target test and evidence worksheet.

A practical field-contract worksheet and repeat-test procedure for diagnosing FAST-LIO motion smear caused by incorrect point-time interpretation.

LiDAR data format practical guide with field checks, setup decisions and LidarStar sensor-selection notes.