Name	gmcl
Version	1.0.1-3 (c91cbd0551e78b516ee4bc3f1f81827ae4f96a05)
Summary
Description	<p> gmcl, which stands for general monte carlo localization, is a probabilistic-based localization technique for mobile robots in 2D-known map. It integrates the adaptive monte carlo localization - amcl - approach with three different particle filter algorithms (Optimal, Intelligent, Self-adaptive) to improve the performance while working in real time. </p> <p> Main node structure and amcl-algorithms’s code was derived, with thanks, from Brian Gerkey's amcl package. </p>
Section	devel
License	LGPL
Homepage	https://wiki.ros.org
Recipe file	generated-recipes/gmcl/gmcl_1.0.1-3.bb
Layer	meta-ros1-noetic (master branch)
Inherits	cmake gcc gcc-native python3-dir python3native python3targetconfig ros1_distro ros_catkin ros_component ros_distro ros_distro_noetic ros_faulty_solibs ros_opt_prefix ros_superflore_generated setuptools3-base
Dependencies	catkin-native cmake-native diagnostic-updater dynamic-reconfigure gcc-cross-i686 geometry-msgs message-filters nav-msgs ninja-native python3 python3-native rosbag roscpp sensor-msgs std-srvs tf2 tf2-geometry-msgs tf2-msgs tf2-ros virtual/compilerlibs virtual/libc
PACKAGECONFIG options

Sources

git://github.com/adler-1994/gmcl-release

Patches

None

Other branches

This recipe in other branches of meta-ros1-noetic:

Branch	Recipe
master	gmcl 1.0.1-3 (this recipe)
wrynose (Yocto Project 6.0)	gmcl 1.0.1-3
whinlatter (Yocto Project 5.3)	gmcl 1.0.1-3
walnascar (Yocto Project 5.2)	gmcl 1.0.1-3
styhead (Yocto Project 5.1)	gmcl 1.0.1-3
scarthgap (Yocto Project 5.0)	gmcl 1.0.1-3
nanbield (Yocto Project 4.3)	gmcl
mickledore (Yocto Project 4.2)	gmcl
langdale (Yocto Project 4.1)	gmcl 1.0.1-3
kirkstone (Yocto Project 4.0)	gmcl
honister (Yocto Project 3.4)	gmcl
gatesgarth (Yocto Project 3.2)	gmcl
hardknott (Yocto Project 3.3)	gmcl 1.0.1-3
dunfell (Yocto Project 3.1)	gmcl