ros-perception Goto Github PK
Name: ROS Perception
Type: Organization
Bio: place where standard perception stuff is maintained
Name: ROS Perception
Type: Organization
Bio: place where standard perception stuff is maintained
AR tag tracking library for ROS
Provides a toolchain to calibrate sensors and URDF robot models.
Subset of the C++ camera_info_manager ROS package for Python camera drivers
Converts a depth image to a laser scan for use with navigation and localization.
UKF replacement for robot_pose_efk (still in development)
Common code for working with images in ROS
An image processing pipeline for ROS.
A set of plugins for publishing and subscribing to sensor_msgs/Image topics in representations other than raw pixel data.
ROS 2 tutorials for image_transport.
Transforms sensor_msgs/Imu messages into new coordinate frames using tf
Provides nodes to assemble point clouds from either LaserScan or PointCloud messages
Assorted filters designed to operate on 2D planar laser scanners, which use the sensor_msgs/LaserScan type.
Provides the LaserProjection class for turning laser scan data into point clouds.
Meta-package for laser_assembler, laser_filters, and laser_geometry.
Converts representations of sensor_msgs/LaserScan and sensor_msgs/MultiEchoLaserScan
Catkinized ROS Package of the OpenKarto Library (LGPL3)
http://wiki.ros.org/opencv_apps
This is a snapshot of pcl (1.5.2 + patches) from Fuerte's source deb. We could not find the original upstream source this came from so it has been preserved here.
[deprecated] pcl_conversions has moved to https://github.com/ros-perception/perception_pcl
ROS package containing PCL-related messages
Open3D analog to perception_pcl, containing conversion functions from Open3D to/from ROS types
PCL (Point Cloud Library) ROS interface stack
Point Cloud Compression for ROS
Transport plugins for point_cloud_transport.
This repository provides tutorial, which discusses running sample publisher and subscriber using multiple transports of point_cloud_transport.
Converts a 3D Point Cloud into a 2D laser scan.
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