Documentation Status

turtlebot: pointcloud_to_laserscan | turtlebot_bringup | turtlebot_description | turtlebot_driver | turtlebot_node

Package Summary

Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

turtlebot: pointcloud_to_laserscan | turtlebot_bringup | turtlebot_description | turtlebot_driver | turtlebot_node

Package Summary

Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

eddiebot: eddiebot_bringup | eddiebot_description | eddiebot_driver | eddiebot_node

Package Summary

Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

perception_pcl: pcl_conversions | pcl_msgs | pcl_ros | pointcloud_to_laserscan

Package Summary

Released Continuous integration Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

perception_pcl: pcl_conversions | pcl_msgs | pcl_ros | pointcloud_to_laserscan

Package Summary

Released Continuous integration Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

Package Summary

Released Continuous integration Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

Package Summary

Released Continuous integration Documented

Converts a 3D Point Cloud into a 2D laser scan. This is useful for making devices like the Kinect appear like a laser scanner for 2D-based algorithms (e.g. laser-based SLAM).

Cannot load information on name: pointcloud_to_laserscan, distro: lunar, which means that it is not yet in our index. Please see this page for information on how to submit your repository to our index.

If you're trying to create a virtual laserscan from your RGBD device, and your sensor is forward-facing, you'll find depthimage_to_laserscan will be much more straightforward and efficient since it operates on image data instead of bulky pointclouds. However, if your sensor is angled, or you have some other esoteric use case, you may find this node to be very helpful!

Please check the FAQ for common problems, or open an issue if still unsolved.

Node

pointcloud_to_laserscan_node

pointcloud_to_laserscan_node takes a point cloud and generates a 2D laser scan based on the provided parameters.

Subscribed Topics

cloud_in (sensor_msgs/PointCloud2)
  • The input point cloud.

Published Topics

scan (sensor_msgs/LaserScan)
  • The output laser scan.

Parameters

~min_height (double, default: 0.0)
  • The minimum height to sample in the point cloud in meters.
~max_height (double, default: 1.0)
  • The maximum height to sample in the point cloud in meters.
~angle_min (double, default: -π/2)
  • The minimum scan angle in radians.
~angle_max (double, default: π/2)
  • The maximum scan angle in radians.
~angle_increment (double, default: π/360)
  • Resolution of laser scan in radians per ray.
~scan_time (double, default: 1.0/30.0)
  • The scan rate in seconds.
~range_min (double, default: 0.45)
  • The minimum ranges to return in meters.
~range_max (double, default: 4.0)
  • The maximum ranges to return in meters.
~target_frame (str, default: none)
  • If provided, transform the pointcloud into this frame before converting to a laser scan. Otherwise, laser scan will be generated in the same frame as the input point cloud.
~concurrency_level (int, default: 1)
  • Number of threads to use for processing pointclouds. If 0, automatically detect number of cores and use the equivalent number of threads. Input queue size for pointclouds is tied to this parameter. In nodelet form, number of threads is capped by the nodelet manager configuration.
~use_inf (boolean, default: true)
  • If disabled, report infinite range (no obstacle) as range_max + 1. Otherwise report infinite range as +inf. Associated with the inf_is_valid parameter for costmap_2d obstacle layers.

Nodelet

Same API as node, available as pointcloud_to_laserscan/pointcloud_to_laserscan_nodelet.

Wiki: pointcloud_to_laserscan (last edited 2015-08-03 15:19:03 by PaulBovbel)