ROS and Hector SLAM for Non-GPS Navigation

This page shows how to setup ROS and Hector SLAM using an RPLidarA2 lidar to provided a local position estimate for ArduPilot so that it can operate without a GPS.

These instructions were tested on an NVidia TX2 flashed with APSync and then ROS and MAVROS were installed as described here.

They were also tested on an RaspberryPi 3 B+ with ROS and MAVROS installed installed as described here.


these pages are a work-in-progress

Mounting the RPLidar and Pixhawk


The RPLidar should be oriented so that its USB cable wire is pointing forward in the same direction as the arrow on the flight controller.

The USB cable should be plugged into a USB port on the companion computer running ROS.

Check the RPLidar’s serial port

  • plug the RPLidarA2 into the companion computer. If using a TX2 mounted on an AUVidea J120 board, ensure the lidar is plugged into the lower USB port.

ls -l /dev/tty*
  • the lidar should appear as /dev/ttyUSB0 or /dev/ttyACM0.

  • if you type “lsusb” the device should also be listed as “Cygnal Integrated Products, Inc. CP210x UART Bridge / myAVR mySmartUSB light”

  • allow anyone to read from the device by entering just one of the following two commands depending upon which serial port was found above

sudo usermod -a -G dialout $USER

Install more packages

  • install the ROS desktop full:

sudo apt-get install ros-kinetic-desktop-full
  • OR install each of these individual packages (this list is not yet complete):

sudo apt-get install ros-kinetic-tf ros-kinetic-tf-conversions ros-kinetic-laser-geometry
sudo apt-get install ros-kinetic-cv-bridge ros-kinetic-image-transport
sudo apt-get install qt4-qmake qt4-dev-tools
sudo apt-get install protobuf-compiler

Create a Catkin WorkSpace

In your home directory:

cd $HOME
mkdir -p catkin_ws/src
cd catkin_ws

Install RPLidar node and Hector SLAM

Install the RPLidar node and Hector SLAM software in the workspace

cd $HOME/catkin_ws/src
git clone
git clone

Using your favourite editor open Hector SLAM’s launch file which can be found at $HOME/catkin_ws/src/hector_slam/hector_mapping/launch/mapping_default.launch and modify the “base_frame”, “odom_frame” and commented out “tf” lines to look like below:

<arg name="base_frame" default="base_link"/>
<arg name="odom_frame" default="base_link"/>

<node pkg="tf" type="static_transform_publisher" name="base_to_laser_broadcaster" args="0 0 0 0 0 0 base_link laser 100" />

Edit Hector SLAM’s hector_imu_attitude_to_tf/launch/example.launch file which can be found at $HOME/catkin_ws/src/hector_slam/hector_imu_attitude_to_tf/launch/example.launch and change it to consume IMU data from the flight controller (via mavros) by replacing “thumper_imu” with “/mavros/imu/data” so that it looks like below:

<remap from="imu_topic" to="/mavros/imu/data" />

Edit Hector SLAM’s tutorial.launch file which can be found at $HOME/catkin_ws/src/hector_slam/hector_slam_launch/launch/tutorial.launch and change the “use_sim_time” line to look like below:

<param name="/use_sim_time" value="false"/>

Continue editing the tutorial.launch and add a new line (just below the existing include line) so that the example.launch file modified above is included:

<include file="$(find hector_imu_attitude_to_tf)/launch/example.launch"/>

By default, once started, Hector SLAM will pop-up a window to show the map in real-time but this can be disabled by commenting out one line of tutorial.launch file so that it looks like below:

<!--node pkg="rviz" type="rviz" name="rviz"
  args="-d $(find hector_slam_launch)/rviz_cfg/mapping_demo.rviz"/-->

Build the Packages

cd $HOME/catkin_ws
catkin build
source devel/setup.bash

Start Hector SLAM

Plug the RPLidarA2 into the companion computer and then open up four terminals and in each terminal type:

cd catkin_ws
source devel/setup.bash

Then in Terminal1:


In Terminal2:

roslaunch rplidar_ros rplidar.launch

In Terminal3 (For RaspberryPi we recommend running this on another Machine explained here):

roslaunch hector_slam_launch tutorial.launch

In Terminal4:

Start mavros as described on the Connecting with ROS page which involves running a command like below:

roslaunch mavros apm.launch fcu_url:=udp://:14855@

Configure ArduPilot

Connect to the flight controller with a ground station (i.e. Mission Planner) and check that the following parameters are set as shown below:

After changing any of the values above, reboot the flight controller.

If all is working, vision position estimates should begin flowing in from ROS to ArduPilot. This can be confirmed by connecting to the flight controller using the Mission Planner (or similar) and check the Flight Data screen’s Messages tab (bottom left) for messages from the EKF like below:

EKF2 IMU1 initial pos NED = 0.0,0.0,0.0 (m)
EKF2 IMU1 is using external nav data
EKF2 IMU0 initial pos NED = 0.0,0.0,0.0 (m)
EKF2 IMU0 is using external nav data

Using the Mission Planner (or similar) go to the Flight Data screen and right-mouse-button click on the map and select “Set Home Here” >> “Set EKF Origin”. The vehicle should appear immediately on the map where you clicked.



We are keen to improve ArduPilot’s support of ROS so if you find issues (such as commands that do not seem to be supported), please report them in the ArduPilot issues list with a title that includes “ROS” and we will attempt to resolve them as quickly as possible.