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airsim_ros_pkgs

A ROS wrapper over the AirSim C++ client library.

Setup

The below steps are meant for Linux. If you're running AirSim on Windows, you can use Windows Subsystem for Linux (WSL) to run the ROS wrapper, see the instructions below. If you're unable or don't prefer to install ROS and related tools on your host Linux due to some issues, you can also try it using Docker, see the steps in Using Docker for ROS wrapper

  • If your default GCC version is not 8 or above (check using gcc --version)

    • Install gcc >= 8.0.0: sudo apt-get install gcc-8 g++-8
    • Verify installation by gcc-8 --version

  • Ubuntu 16.04

    • Install ROS kinetic
    • Install tf2 sensor and mavros packages: sudo apt-get install ros-kinetic-tf2-sensor-msgs ros-kinetic-tf2-geometry-msgs ros-kinetic-mavros*

  • Ubuntu 18.04

    • Install ROS melodic
    • Install tf2 sensor and mavros packages: sudo apt-get install ros-melodic-tf2-sensor-msgs ros-melodic-tf2-geometry-msgs ros-melodic-mavros*

  • Ubuntu 20.04

    • Install ROS noetic
    • Install tf2 sensor and mavros packages: sudo apt-get install ros-noetic-tf2-sensor-msgs ros-noetic-tf2-geometry-msgs ros-noetic-mavros*

  • Install catkin_tools sudo apt-get install python-catkin-tools or pip install catkin_tools. If using Ubuntu 20.04 use pip install "git+https://github.com/catkin/catkin_tools.git#egg=catkin_tools"

Build

  • Build AirSim
git clone https://github.com/Microsoft/AirSim.git;
cd AirSim;
./setup.sh;
./build.sh;
  • Make sure that you have setup the environment variables for ROS as mentioned in the installation pages above. Add the source command to your .bashrc for convenience (replace melodic with specfic version name) -
echo "source /opt/ros/melodic/setup.bash" >> ~/.bashrc
source ~/.bashrc
  • Build ROS package
cd ros;
catkin build; # or catkin_make

If your default GCC isn't 8 or greater (check using gcc --version), then compilation will fail. In that case, use gcc-8 explicitly as follows-

catkin build -DCMAKE_C_COMPILER=gcc-8 -DCMAKE_CXX_COMPILER=g++-8

Running

source devel/setup.bash;
roslaunch airsim_ros_pkgs airsim_node.launch;
roslaunch airsim_ros_pkgs rviz.launch;

Note: If you get an error running roslaunch airsim_ros_pkgs airsim_node.launch, run catkin clean and try again

Using AirSim ROS wrapper

The ROS wrapper is composed of two ROS nodes - the first is a wrapper over AirSim's multirotor C++ client library, and the second is a simple PD position controller. Let's look at the ROS API for both nodes:

AirSim ROS Wrapper Node

Publishers:

  • /airsim_node/origin_geo_point airsim_ros_pkgs/GPSYaw GPS coordinates corresponding to global NED frame. This is set in the airsim's settings.json file under the OriginGeopoint key.

  • /airsim_node/VEHICLE_NAME/global_gps sensor_msgs/NavSatFix This the current GPS coordinates of the drone in airsim.

  • /airsim_node/VEHICLE_NAME/odom_local_ned nav_msgs/Odometry Odometry in NED frame (default name: odom_local_ned, launch name and frame type are configurable) wrt take-off point.

  • /airsim_node/VEHICLE_NAME/CAMERA_NAME/IMAGE_TYPE/camera_info sensor_msgs/CameraInfo

  • /airsim_node/VEHICLE_NAME/CAMERA_NAME/IMAGE_TYPE sensor_msgs/Image RGB or float image depending on image type requested in settings.json.

  • /tf tf2_msgs/TFMessage

  • /airsim_node/VEHICLE_NAME/altimeter/SENSOR_NAME airsim_ros_pkgs/Altimeter This the current altimeter reading for altitude, pressure, and QNH

  • /airsim_node/VEHICLE_NAME/imu/SENSOR_NAME sensor_msgs::Imu IMU sensor data

  • /airsim_node/VEHICLE_NAME/magnetometer/SENSOR_NAME sensor_msgs::MagneticField Meausrement of magnetic field vector/compass

  • /airsim_node/VEHICLE_NAME/distance/SENSOR_NAME sensor_msgs::Range Meausrement of distance from an active ranger, such as infrared or IR

  • /airsim_node/VEHICLE_NAME/lidar/SENSOR_NAME sensor_msgs::PointCloud2 LIDAR pointcloud

Subscribers:

Services:

Parameters:

  • /airsim_node/world_frame_id [string] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: world_ned Set to "world_enu" to switch to ENU frames automatically

  • /airsim_node/odom_frame_id [string] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: odom_local_ned If you set world_frame_id to "world_enu", the default odom name will instead default to "odom_local_enu"

  • /airsim_node/coordinate_system_enu [boolean] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: false If you set world_frame_id to "world_enu", this setting will instead default to true

  • /airsim_node/update_airsim_control_every_n_sec [double] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: 0.01 seconds. Timer callback frequency for updating drone odom and state from airsim, and sending in control commands. The current RPClib interface to unreal engine maxes out at 50 Hz. Timer callbacks in ROS run at maximum rate possible, so it's best to not touch this parameter.

  • /airsim_node/update_airsim_img_response_every_n_sec [double] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: 0.01 seconds. Timer callback frequency for receiving images from all cameras in airsim. The speed will depend on number of images requested and their resolution. Timer callbacks in ROS run at maximum rate possible, so it's best to not touch this parameter.

  • /airsim_node/publish_clock [double] Set in: $(airsim_ros_pkgs)/launch/airsim_node.launch Default: false Will publish the ros /clock topic if set to true.

Simple PID Position Controller Node

Parameters:

  • PD controller parameters:

    • /pd_position_node/kd_x [double], /pd_position_node/kp_y [double], /pd_position_node/kp_z [double], /pd_position_node/kp_yaw [double] Proportional gains

    • /pd_position_node/kd_x [double], /pd_position_node/kd_y [double], /pd_position_node/kd_z [double], /pd_position_node/kd_yaw [double] Derivative gains

    • /pd_position_node/reached_thresh_xyz [double] Threshold euler distance (meters) from current position to setpoint position

    • /pd_position_node/reached_yaw_degrees [double] Threshold yaw distance (degrees) from current position to setpoint position

  • /pd_position_node/update_control_every_n_sec [double] Default: 0.01 seconds

Services:

  • /airsim_node/VEHICLE_NAME/gps_goal [Request: srv/SetGPSPosition] Target gps position + yaw. In absolute altitude.

  • /airsim_node/VEHICLE_NAME/local_position_goal [Request: srv/SetLocalPosition] Target local position + yaw in global NED frame.

Subscribers:

  • /airsim_node/origin_geo_point airsim_ros_pkgs/GPSYaw Listens to home geo coordinates published by airsim_node.

  • /airsim_node/VEHICLE_NAME/odom_local_ned nav_msgs/Odometry Listens to odometry published by airsim_node

Publishers:

Global params

  • Dynamic constraints. These can be changed in dynamic_constraints.launch:

    • /max_vel_horz_abs [double] Maximum horizontal velocity of the drone (meters/second)

    • /max_vel_vert_abs [double] Maximum vertical velocity of the drone (meters/second)

    • /max_yaw_rate_degree [double] Maximum yaw rate (degrees/second)

Misc

Setting up the Build Environment on Windows10 using WSL1 or WSL2

These setup instructions describe how to setup "Bash on Ubuntu on Windows" (aka "Windows Subsystem for Linux").

It involves enabling the built-in Windows Linux environment (WSL) in Windows10, installing a compatible Linux OS image, and finally installing the build environment as if it were a normal Linux system.

Upon completion, you will be able to build and run the ros wrapper as in a native linux machine.

WSL1 vs WSL2

WSL2 is the latest version of the Windows10 Subsystem for Linux. It is many times faster than WSL1 (if you use the native file system in /home/... rather than Windows mounted folders under /mnt/...) and is therefore much preferred for building the code in terms of speed.

Once installed, you can switch between WSL1 or WSL2 versions as you prefer.

WSL Setup steps

  1. Follow the instructions here. Check that the ROS version you want to use is supported by the Ubuntu version you want to install.

  2. Congratulations, you now have a working Ubuntu subsystem under Windows, you can now go to Ubuntu 16 / 18 instructions and then How to run Airsim on Windows and ROS wrapper on WSL!

!!! note

You can run XWindows applications (including SITL) by installing [VcXsrv](https://sourceforge.net/projects/vcxsrv/)  on Windows.
To use it find and run `XLaunch` from the Windows start menu.
Select `Multiple Windows` in first popup, `Start no client` in second popup, **only** `Clipboard` in third popup. Do **not** select `Native Opengl` (and if you are not able to connect select `Disable access control`).
You will need to set the DISPLAY variable to point to your display: in WSL it is `127.0.0.1:0`, in WSL2 it will be the ip address of the PC's network port and can be set by using the code below. Also in WSL2 you may have to disable the firewall for public networks, or create an exception in order for VcXsrv to communicate with WSL2:

`export DISPLAY=$(cat /etc/resolv.conf | grep nameserver | awk '{print $2}'):0`

!!! tip

- If you add this line to your ~/.bashrc file you won't need to run this command again
- For code editing you can install VSCode inside WSL.
- Windows 10 includes "Windows Defender" virus scanner. It will slow down WSL quite a bit. Disabling it greatly improves disk performance but increases your risk to viruses so disable at your own risk. Here is one of many resources/videos that show you how to disable it: [How to Disable or Enable Windows Defender on Windows 10](https://youtu.be/FmjblGay3AM)
File System Access between WSL and Windows10

From within WSL, the Windows drives are referenced in the /mnt directory. For example, in order to list documents within your () documents folder:

`ls /mnt/c/'Documents and Settings'/<username>/Documents`
or
`ls /mnt/c/Users/<username>/Documents`

From within Windows, the WSL distribution's files are located at (type in windows Explorer address bar):

\\wsl$\<distribution name> e.g. \\wsl$\Ubuntu-18.04

How to run Airsim on Windows and ROS wrapper on WSL

For WSL 1 execute: export WSL_HOST_IP=127.0.0.1 and for WSL 2: export WSL_HOST_IP=$(cat /etc/resolv.conf | grep nameserver | awk '{print $2}') Now, as in the running section for linux, execute the following:

source devel/setup.bash
roslaunch airsim_ros_pkgs airsim_node.launch output:=screen host:=$WSL_HOST_IP
roslaunch airsim_ros_pkgs rviz.launch

Using Docker for ROS

A Dockerfile is present in the tools directory. To build the airsim-ros image -

cd tools
docker build -t airsim-ros -f Dockerfile-ROS .

To run, replace the path of the AirSim folder below -

docker run --rm -it --net=host -v <your-AirSim-folder-path>:/home/testuser/AirSim airsim-ros:latest bash

The above command mounts the AirSim directory to the home directory inside the container. Any changes you make in the source files from your host will be visible inside the container, which is useful for development and testing. Now follow the steps from Build to compile and run the ROS wrapper.