Laser scan processing tools. The meta-package contains:
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laser_ortho_projector: 将切斜的雷达数据投影到平面上.
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laser_scan_matcher: 基于pl-icp的扫描匹配的实现,并进行了位姿累加
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laser_scan_matcher 功能包是增量激光扫描配准工具。该软件包允许扫描连续的 sensor_msgs / LaserScan 消息之间的匹配, 并将估计的激光位置发布为 geometry_msgs / Pose2D 或 tf 变换。 该包可以在没有其他传感器提供的任何测距估计的情况下使用。 因此,它可以作为独立的里程计算器估算器
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laser_scan_sparsifier: 对雷达数据进行稀疏处理
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laser_scan_splitter: 将一帧雷达数据分段,并发布出去
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ncd_parser: 读取New College Dataset,转换成ros的scan 与 odometry 发布出去
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polar_scan_matcher: 基于Polar Scan Matcher的扫描匹配器的ros实现
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scan_to_cloud_converter: 将 sensor_msgs/LaserScan 数据转成 sensor_msgs/PointCloud2 的数据格式
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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.
- ROS is installed
apt-get install python-wstool
apt-get install ros-%ROS_DISTRO%-scan-tools
apt-get install ros-indigo-scan-tools (Indigo)
Following is an example with ROS Indigo.
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Create a catkin workspace and navigate to its source directory (e.g.
~/catkin_ws/src
). -
In your Catkin workspace, download source and build with the following commands.
cd ~/catkin_ws
wstool init src
wstool merge -t src https://raw.githubusercontent.com/ccny-ros-pkg/scan_tools/indigo/.rosinstall
rosdep install --from-paths src --ignore-src --rosdistro indigo -r -y
catkin_make (or any build commands available in ROS, e.g. `catkin build`)
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.