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.
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?