Open ghost opened 4 years ago
Hi @SoguMax, thanks for your interest.
For some of the parameters you may refer to https://github.com/hyye/lio-mapping/issues/20#issuecomment-514591841.
The odom_io
is used to skip several frames. For example, odom_io: 2
means that it will take 1 point cloud from every 2 point clouds.
Thank you so much for your help.
On Tue, May 26, 2020 at 5:50 AM Haoyang Ye notifications@github.com wrote:
Hi @SoguMax https://github.com/SoguMax, thanks for your interest. For some of the parameters you may refer to #20 (comment) https://github.com/hyye/lio-mapping/issues/20#issuecomment-514591841. The odom_io is used to skip several frames. For example, odom_io: 2 means that it will take 1 point cloud from every 2 point clouds.
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Hi, @hyye
There seems to be a drift in the z direction when moving and capturing data through several floors in an indoor environment. What do you recommend? Moving the lidar and imu through a faster motion (The bag file is recorded with a slow walking pace) or just adjusting this odom_io parameter.
Thank you
@SoguMax
similar issue.
I'm testing in an outdoor environment
also z drift occurs,
any advice.. ?
Hi @SoguMax and @kissb2, thanks for your interest. As I mentioned in https://github.com/hyye/lio-mapping/issues/18#issuecomment-513747567, this drift is inevitable if the path is long and of no local loop. Adding a loop detection module, e.g., segmap, and optimize the pose graph may help.
Hey. My question is are follows. What do the following parameters do in the indoor_test_config.yaml file in the lio_mapping package?
optimization options
run_optimization: 1
update_laser_imu: 1 gravity_fix: 1
plane_projection_factor: 0
imu_factor: 1 point_distance_factor: 1
prior_factor: 0
marginalization_factor: 1
odom_io: 6
pcl_viewer: 0
I am especially interested in odom_io as it seems to be affecting the trajectory of my odometry, but I am not sure how it affects it.
Thanks