Contents
Users
Extract Indices
The ExtractIndices nodelet is wrapping a pcl::ExtractIndices filter.
The following dynamic_reconfigure parameters are used:
Parameters
Dynamically Reconfigurable Parameters
See the dynamic_reconfigure package for details on dynamically reconfigurable parameters.- Extract indices or the negative (all-indices)
PassThrough
The PassThrough nodelet is wrapping a pcl::PassThrough filter.
The following dynamic_reconfigure parameters are used:
Parameters
Dynamically Reconfigurable Parameters
See the dynamic_reconfigure package for details on dynamically reconfigurable parameters.- The field name used for filtering
- The minimum allowed field value a point will be considered from Range: -5.0 to 5.0
- The maximum allowed field value a point will be considered from Range: -5.0 to 5.0
- Set to true if we want to return the data outside [filter_limit_min; filter_limit_max].
- The input TF frame the data should be transformed into before processing, if input.header.frame_id is different.
- The output TF frame the data should be transformed into after processing, if input.header.frame_id is different.
ProjectInliers
The ProjectInliers nodelet is wrapping a pcl::ProjectInliers filter.
RadiusOutlierRemoval
The RadiusOutlierRemoval nodelet is wrapping a pcl::RadiusOutlierRemoval filter.
StatisticalOutlierRemoval
The StatisticalOutlierRemoval nodelet is wrapping a pcl::StatisticalOutlierRemoval filter.
The following dynamic_reconfigure parameters are used:
Parameters
Dynamically Reconfigurable Parameters
See the dynamic_reconfigure package for details on dynamically reconfigurable parameters.- The number of points (k) to use for mean distance estimation Range: 2 to 100
- The standard deviation multiplier threshold. All points outside the mean +- sigma * std_mul will be considered outliers. Range: 0.0 to 5.0
- Set whether the inliers should be returned (true) or the outliers (false)
VoxelGrid
The VoxelGrid nodelet is wrapping a pcl::VoxelGrid filter.
The following dynamic_reconfigure parameters are used:
Parameters
Dynamically Reconfigurable Parameters
See the dynamic_reconfigure package for details on dynamically reconfigurable parameters.- The size of a leaf (on x,y,z) used for downsampling. Range: 0.0 to 1.0
- The field name used for filtering
- The minimum allowed field value a point will be considered from Range: -5.0 to 5.0
- The maximum allowed field value a point will be considered from Range: -5.0 to 5.0
- Set to true if we want to return the data outside [filter_limit_min; filter_limit_max].
- The input TF frame the data should be transformed into before processing, if input.header.frame_id is different.
- The output TF frame the data should be transformed into after processing, if input.header.frame_id is different.
Developers
All pcl_ros nodelet filters inherit from pcl_ros::Filter, which requires that any class inheriting from it implements the following interface:
child_init(), filter(), onInit() and config_callback() are all virtual and can be overwritten
filter (PointCloud2 &output) is pure abstract and must be implemented
if child_init (ros::NodeHandle &nh, bool &has_service) is implemented, and has_service is set to true, the Filter base class dynamic_reconfigure service will not be created
Common ROS parameters
The following list of ROS parameters is usually read in for any pcl_ros nodelet on startup.
max_queue_size, int : defines the maximum queue size the ROS subscribers and publishers in the nodelet should use (see ros::NodeHandle::subscribe for more information).
use_indices, bool : usually indicates whether the nodelet should listen for incoming data on ~indices. This data represents a subset of point indices (pcl::PointIndices message) that should be used from the input dataset.
approximate_sync, bool : indicates whether the input topics that the nodelet listens to, should synchronize with an ApproximateTimeSynchronizer (their header.stamp can differ) or an ExactTimeSynchronizer (their header.stamp must be identical)
Input/Output topics
The following list of ROS topics are used by any pcl_ros Filter:
input, in, sensor_msgs/PointCloud2 : input point cloud data to filter.
indices, in, pcl/PointIndices : input point cloud data indices to use from input.
output, out, sensor_msgs/PointCloud2 : the resultant filtered point cloud data.






