PoseWithCovarianceStampedToGaussianPointCloud¶
Visualize geometry_msgs/PoseWithCovarianceStamped
as gaussian pointcloud.
Pointcloud is computed within a region of 3 sigma.
Subscribing Topics¶
~input
(geometry_msgs/PoseWithCovarianceStamped
)Input pose
Publishing Topics¶
~output
(sensor_msgs/PointCloud2
)Output pointcloud
Parameters¶
~cut_plane
(String, default:xy
)You can choose a plane to compute gaussian distribution from
xy
,yz
,zx
,flipped_xy
,flipped_yz
orflipped_zx
.~sampling_num
(Int, default:100
)The number of sampling for each axis. The number of points will square of
~sampling_num
.~normalize_method
(String, default:normalize_area
)~normalize_value
(Float, default:1.0
)You can choose
normalize_area
ornormalize_height
as a method to normalize gaussian distribution.If you choose
normalize_area
, area of gaussian distribution will be~normalize_value
.If you choose
normalize_height
, the maximum height of gaussian distribution will be~normalize_value
.
Sample¶
roslaunch jsk_pcl_ros_utils sample_pose_with_covariance_stamped_to_gaussian_pointcloud.launch