Laser scan processing tools. The meta-package contains:
-
laser_ortho_projector
: calculates orthogonal projections of LaserScan messages -
laser_scan_matcher
: an incremental laser scan matcher, using Andrea Censi's Canonical Scan Matcher implementation. It downloads and installs Andrea Censi's Canonical Scan Matcher [1] locally. -
laser_scan_sparsifier
: takes in a LaserScan message and sparsifies it -
laser_scan_splitter
: takes in a LaserScan message and splits it into a number of other LaserScan messages -
ncd_parser
: reads in .alog data files from the New College Dataset [2] and broadcasts scan and odometry messages to ROS. -
scan_to_cloud_converter
: converts LaserScan to PointCloud messages.
Create a catkin workspace and navigate to its source directory (ex. ~/catkin_ws/src
).
Make sure you have git installed:
sudo apt-get install git-core
Download the stack from our repository:
git clone https://github.com/ccny-ros-pkg/scan_tools.git
Install any dependencies using rosdep.
rosdep install scan_tools
Compile your catkin workspace from its root folder (eg. ~/catkin_ws
):
catkin_make
Finally, source the information from your catkin workspace (or add it to your ~/.bashrc
)
source devel/setup.bash
http://wiki.ros.org/scan_tools
[1] A. Censi, "An ICP variant using a point-to-line metric" Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2008
[2] M. Smith, I. Baldwin, W. Churchill, R. Paul, and P. Newman, The new college vision and laser data set, International Journal for Robotics Research (IJRR), vol. 28, no. 5, pp. 595599, May 2009.