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开源软件名称(OpenSource Name):fada-catec/amcl3d开源软件地址(OpenSource Url):https://github.com/fada-catec/amcl3d开源编程语言(OpenSource Language):C++ 92.6%开源软件介绍(OpenSource Introduction):amcl3dOverviewThis is a package is a "Adaptive Monte-Carlo Localization in 3D". It is a particle filter that estimates the localization of a robot moving in a 3D environment without using GPS. It takes information from an odometry source, point-clouds from an onboard sensor (e.g. laser) and distance measurements from radio-range sensors. LicenseApache 2.0 Author: Paloma Carrasco Fern�ndez ([email protected]), Francisco Cuesta Rodr�guez ([email protected]), Francisco J.Perez-Grau ([email protected]) Affiliation: FADA-CATEC Maintainer: Paloma Carrasco Fern�ndez ([email protected]), Francisco Cuesta Rodr�guez ([email protected]) The amcl3d package has been tested under [ROS] Kinetic and Ubuntu 16.04. PublicationsIf you want more information about the algorithm or use this work in your project, please check and cite the following publication:
Detailed DescriptionTo know in more detail the behavior of the package: Demostration VideoInstallationBuilding from SourceBuildingTo build from source, clone the latest version from this repository into your catkin workspace and compile the package using
Launch files
Gmoke TestsThis branch contains differents tests to evaluate the correct behaviour of the algorithm. To run these tests it is necessary to have the rosbag of the 'Version 1.1.0' release.
DoxygenThe code has been commentes to offert the posibility to generate a Doxygen documentation. To generate it:
To install the rosdoc_lite package:
Bugs & Feature RequestsPlease report bugs and request features using the Issue Tracker. AcknowledgementSupported by ROSIN - ROS-Industrial Focused Technical Projects (FTP). |
2023-10-27
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