You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I would like to try FAST_LIO_LC package on my own dataset. However, when I run the roslaunch files, there is a warning data as follows:
roslaunch fast_lio mapping_velodyne.launch - [ WARN] [1688364865.349349613]: TF_REPEATED_DATA ignoring data with redundant timestamp for frame aft_pgo at time 1681803983.050032 according to authority unknown_publisher.
roslaunch aloam_velodyne fastlio_velodyne_VLP_16.launch - [pcl::VoxelGrid::applyFilter] Leaf size is too small for the input dataset. Integer indices would overflow.
How can I solve this problem?
The text was updated successfully, but these errors were encountered:
Dear author,
Thank you very much for your excellent work.
I would like to try FAST_LIO_LC package on my own dataset. However, when I run the roslaunch files, there is a warning data as follows:
roslaunch fast_lio mapping_velodyne.launch
-[ WARN] [1688364865.349349613]: TF_REPEATED_DATA ignoring data with redundant timestamp for frame aft_pgo at time 1681803983.050032 according to authority unknown_publisher
.roslaunch aloam_velodyne fastlio_velodyne_VLP_16.launch
-[pcl::VoxelGrid::applyFilter] Leaf size is too small for the input dataset. Integer indices would overflow.
How can I solve this problem?
The text was updated successfully, but these errors were encountered: