amcl3d

This 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.

Apache 2.0

Author: Paloma Carrasco Fernández (pcarrasco@catec.aero), Francisco Cuesta Rodríguez (fcuesta@catec.aero), Francisco J.Perez-Grau (fjperez@catec.aero)

Affiliation: FADA-CATEC

Maintainer: Paloma Carrasco Fernández (pcarrasco@catec.aero), Francisco Cuesta Rodríguez (fcuesta@catec.aero)

The amcl3d package has been tested under [ROS] Kinetic and Ubuntu 16.04.

If you want more information about the algorithm or use this work in your project, please check and cite the following publication:

To know in more detail the behavior of the package:

To build from source, clone the latest version from this repository into your catkin workspace and compile the package using

 cd catkin_workspace/src
 git clone https://github.com/fada-catec/amcl3d.git
 cd ../
 catkin build

Run the test with

 roslaunch ouster_ros os1.launch os1_hostname:=10.5.5.94 replay:=true
 roslaunch amcl3d amcl3d_test.launch

amcl3d.launch: it contains the start of amcl3d node with a standard configuration of parameters.
```
    roslaunch amcl3d amcl3d.launch
```
amcl3d_test.launch: this roslaunch allows you to start the RViz with the aforementioned configuration, the amcl3d node, the test-amcl3d node, the bag player and creates a transformation to relate the point-cloud frame of test-amcl3d node with the robot frame of amcl3d node.
```
    roslaunch amcl3d amcl3d_test.launch
```

Please report bugs and request features using the Issue Tracker.

Supported by ROSIN - ROS-Industrial Focused Technical Projects (FTP).
More information: rosin-project.eu

zorosmith/amcl3d