PX4 Docker Containers

Docker containers are available that contain the complete PX4 development toolchain including Gazebo and ROS simulation:

px4io/px4-dev: toolchain including simulation
px4io/px4-dev-ros: toolchain including simulation and ROS (incl. MAVROS)

Pull one of the tagged assets if you're after a container that just works, for instance px4io/px4-dev-ros:v1.0, the latest container is usually changing a lot.

Dockerfiles and README can be found here: https://github.com/PX4/containers/tree/master/docker/px4-dev

They are build automatically on Docker Hub: https://hub.docker.com/u/px4io/

Prerequisites

Install Docker from here https://docs.docker.com/installation/, preferably use one of the Docker-maintained package repositories to get the latest version.

Containers are currently only supported on Linux. If you don't have Linux you can run the container inside a virtual machine, see further down for more information. Do not use boot2docker with the default Linux image because it contains no X-Server.

Use the Docker container

The following will run the Docker container including support for X forwarding which makes the simulation GUI available from inside the container. It also maps the directory <local_src> from your computer to <container_src> inside the container and forwards the UDP port needed to connect QGC. Please see the Docker docs for more information on volume and network port mapping.

With the -–privileged option it will automatically have access to the devices on your host (e.g. a joystick and GPU). If you connect/disconnect a device you have to restart the container.

# enable access to xhost from the container
xhost +

docker run -it --privileged \
    -v <local_src>:<container_src>:rw \
    -v /tmp/.X11-unix:/tmp/.X11-unix:ro \
    -e DISPLAY=:0 \
    -p 14556:14556/udp \
    --name=container_name px4io/px4-dev bash

If everything went well you should be in a new bash shell now. Verify if everything works by running SITL for example:

cd <container_src>
make posix_sitl_default gazebo

Graphics driver issues

It's possible that running Gazebo will result in a similar error message like the following:

libGL error: failed to load driver: swrast

In that case the native graphics driver for your host system must be installed. Download the right driver and install it inside the container. For Nvidia drivers the following command should be used (otherwise the installer will see the loaded modules from the host and refuse to proceed):

./NVIDIA-DRIVER.run -a -N --ui=none --no-kernel-module

More information on this can be found here: http://gernotklingler.com/blog/howto-get-hardware-accelerated-opengl-support-docker/

Re-enter the container

If you exit the container, your changes are left in this container. The above “docker run” command can only be used to create a new container. To get back into this container simply do:

# start the container
sudo docker start container_name
# open a new bash shell in this container
sudo docker exec -it container_name bash

If you need multiple shells connected to the container, just open a new shell and execute that last command again.

Virtual machine support

Any recent Linux distribution should work.

The following configuration is tested:

OS X with VMWare Fusion and Ubuntu 14.04 (Docker container with GUI support on Parallels make the X-Server crash).

Memory

Use at least 4GB memory for the virtual machine.

Compilation problems

If compilation fails with errors like this:

The bug is not reproducible, so it is likely a hardware or OS problem.
c++: internal compiler error: Killed (program cc1plus)

Try disabling parallel builds.

Allow Docker Control from the VM Host

Edit /etc/defaults/docker and add this line:

DOCKER_OPTS="${DOCKER_OPTS} -H unix:///var/run/docker.sock -H 0.0.0.0:2375"

You can then control docker from your host OS:

export DOCKER_HOST=tcp://<ip of your VM>:2375
# run some docker command to see if it works, e.g. ps
docker ps

Legacy

The ROS multiplatform containers are not maintained anymore: https://github.com/PX4/containers/tree/master/docker/ros-indigo

Docker容器