Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ros-perception/pointcloud_to_laserscan
Converts a 3D Point Cloud into a 2D laser scan.
https://github.com/ros-perception/pointcloud_to_laserscan
Last synced: about 2 months ago
JSON representation
Converts a 3D Point Cloud into a 2D laser scan.
- Host: GitHub
- URL: https://github.com/ros-perception/pointcloud_to_laserscan
- Owner: ros-perception
- License: bsd-3-clause
- Created: 2015-06-08T13:35:49.000Z (over 9 years ago)
- Default Branch: rolling
- Last Pushed: 2024-09-11T17:07:27.000Z (3 months ago)
- Last Synced: 2024-09-12T02:51:44.465Z (3 months ago)
- Language: C++
- Homepage: http://wiki.ros.org/pointcloud_to_laserscan
- Size: 39.1 KB
- Stars: 405
- Watchers: 10
- Forks: 275
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.rst
- License: LICENSE
Awesome Lists containing this project
- awesome-robotic-tooling - pointcloud_to_laserscan - Converts a 3D Point Cloud into a 2D laser scan. (Sensor Processing / Point Cloud Processing)
- awesome-robotic-tooling - pointcloud_to_laserscan - Converts a 3D Point Cloud into a 2D laser scan. (Sensor Processing / Lidar and Point Cloud Processing)
README
# ROS 2 pointcloud <-> laserscan converters
This is a ROS 2 package that provides components to convert `sensor_msgs/msg/PointCloud2` messages to `sensor_msgs/msg/LaserScan` messages and back.
It is essentially a port of the original ROS 1 package.## pointcloud\_to\_laserscan::PointCloudToLaserScanNode
This ROS 2 component projects `sensor_msgs/msg/PointCloud2` messages into `sensor_msgs/msg/LaserScan` messages.
### Published Topics
* `scan` (`sensor_msgs/msg/LaserScan`) - The output laser scan.
### Subscribed Topics
* `cloud_in` (`sensor_msgs/msg/PointCloud2`) - The input point cloud. No input will be processed if there isn't at least one subscriber to the `scan` topic.
### Parameters
* `min_height` (double, default: 2.2e-308) - The minimum height to sample in the point cloud in meters.
* `max_height` (double, default: 1.8e+308) - The maximum height to sample in the point cloud in meters.
* `angle_min` (double, default: -π) - The minimum scan angle in radians.
* `angle_max` (double, default: π) - The maximum scan angle in radians.
* `angle_increment` (double, default: π/180) - Resolution of laser scan in radians per ray.
* `queue_size` (double, default: detected number of cores) - Input point cloud queue size.
* `scan_time` (double, default: 1.0/30.0) - The scan rate in seconds. Only used to populate the scan_time field of the output laser scan message.
* `range_min` (double, default: 0.0) - The minimum ranges to return in meters.
* `range_max` (double, default: 1.8e+308) - 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.
* `transform_tolerance` (double, default: 0.01) - Time tolerance for transform lookups. Only used if a `target_frame` is provided.
* `use_inf` (boolean, default: true) - If disabled, report infinite range (no obstacle) as range_max + 1. Otherwise report infinite range as +inf.## pointcloud\_to\_laserscan::LaserScanToPointCloudNode
This ROS 2 component re-publishes `sensor_msgs/msg/LaserScan` messages as `sensor_msgs/msg/PointCloud2` messages.
### Published Topics
* `cloud` (`sensor_msgs/msg/PointCloud2`) - The output point cloud.
### Subscribed Topics
* `scan_in` (`sensor_msgs/msg/LaserScan`) - The input laser scan. No input will be processed if there isn't at least one subscriber to the `cloud` topic.
### Parameters
* `queue_size` (double, default: detected number of cores) - Input laser scan queue size.
* `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.
* `transform_tolerance` (double, default: 0.01) - Time tolerance for transform lookups. Only used if a `target_frame` is provided.