ROS2 wrapper
ROS2 packages for using Stereolabs ZED Camera cameras.
ROS2 Foxy Fitzroy (Ubuntu 20.04) - ROS2 Humble Hawksbill (Ubuntu 22.04)
This package lets you use the ZED stereo cameras with ROS2. It provides access to the following data:
- Left and right rectified/unrectified images
- Depth data
- Colored 3D point cloud
- Position and Mapping (with GNSS data fusion)
- Sensors data (not available with ZED)
- Detected objects (not available with ZED)
- Persons skeleton (not available with ZED)
Installation
Prerequisites
- Ubuntu 20.04 (Focal Fossa) or Ubuntu 22.04 (Jammy Jellyfish)
- ZED SDK v4.0.7 (for older versions support please check the releases)
- CUDA dependency
- ROS2 Foxy Fitxroy or ROS2 Humble Hawksbill:
Build the package
The zed_ros2_wrapper is a colcon package.
Note: If you havenโt set up your colcon workspace yet, please follow this short tutorial.
To install the zed_ros2_wrapper, open a bash terminal, clone the package from Github, and build it:
mkdir -p ~/ros2_ws/src/ # create your workspace if it does not exist
cd ~/ros2_ws/src/ #use your current ros2 workspace folder
git clone --recursive https://github.com/stereolabs/zed-ros2-wrapper.git
cd ..
sudo apt update
rosdep install --from-paths src --ignore-src -r -y # install dependencies
colcon build --symlink-install --cmake-args=-DCMAKE_BUILD_TYPE=Release --parallel-workers $(nproc) # build the workspace
echo source $(pwd)/install/local_setup.bash >> ~/.bashrc # automatically source the installation in every new bash (optional)
source ~/.bashrc
Note: If rosdep
is missing you can install it with:
sudo apt-get install python3-rosdep python3-rosinstall-generator python3-vcstool python3-rosinstall build-essential
Note: The option --symlink-install
is very important, it allows to use symlinks instead of copying files to the ROS2 folders during the installation, where possible. Each package in ROS2 must be installed and all the files used by the nodes must be copied into the installation folders. Using symlinks allows you to modify them in your workspace, reflecting the modification during the next executions without the needing to issue a new colcon build
command. This is true only for all the files that don't need to be compiled (Python scripts, configurations, etc.).
Note: If you are using a different console interface like zsh, you have to change the source
command as follows: echo source $(pwd)/install/local_setup.zsh >> ~/.zshrc
and source ~/.zshrc
.
Starting the ZED node
To start the ZED node, open a bash terminal and use the CLI command ros2 launch
:
$ ros2 launch zed_wrapper zed_camera.launch.py camera_model:=<camera_model>
Replace <camera_model>
with the model of the camera that you are using: 'zed'
, 'zedm'
, 'zed2'
, 'zed2i'
, 'zedx'
, 'zedxm'
.
The zed_camera.launch.py
is a Python launch scripts that automatically start the ZED node using "manual composition". The parameters for the indicated camera model are loaded from the relative "YAML files".
A Robot State Publisher node is started to publish the camera static links and joints loaded from the URDF model associated with the camera model.
Note: You can set your own configurations modifying the parameters in the files common.yaml, zed.yaml zedm.yaml, zed2.yaml, zed2i.yaml, zedx.yaml, and zedxm.yaml available in the folder zed_wrapper/config
.
For full descriptions of each parameter, follow the complete guide here.
Rviz visualization
To start a pre-configured Rviz environment and visualize the data of all ZED cameras, we provide in the zed-ros2-examples
repository. You'll see there more advanced examples and visualisation that demonstrate depth, point clouds, odometry, object detection, etc.
You can also quickly check that your depth data is correctly retrieved in rviz with rviz2 -d ./zed_wrapper/config/rviz2/<your camera model>.rviz
. Be aware that rviz subscribes to numerous ROS topics, which can potentially impact the performance of your application compared to when it runs without rviz.
More features
SVO recording
SVO recording can be started and stopped while the ZED node is running using the service start_svo_recording
and the service stop_svo_recording
.
More information
Object Detection
The Object Detection can be enabled automatically when the node start by setting the parameter object_detection/od_enabled
to true
in the file common.yaml
.
The Object Detection can be enabled/disabled manually by calling the services enable_obj_det
.
Body Tracking
The Body Tracking can be enabled automatically when the node start by setting the parameter body_tracking/bt_enabled
to true
in the file common.yaml
.
The Object Detection module is not available on the very first generation of ZED cameras.
Spatial Mapping
The Spatial Mapping can be enabled automatically when the node start setting the parameter mapping/mapping_enabled
to true
in the file common.yaml
.
The Spatial Mapping can be enabled/disabled manually calling the services enable_mapping
.
GNSS fusion
The ZED ROS2 Wrapper can subscribe to a NavSatFix
topic and fuse GNSS data information
with Positional Tracking information to obtain a precise robot localization referred to Earth coordinates.
To enable GNSS fusion set the parameter gnss_fusion.gnss_fusion_enabled
to true
.
It is important that you set the correct gnss_frame
parameter when launching the node, e.g. gnss_frame:='gnss_link'
.
The services toLL
and fromLL
can be used to convert Latitude/Longitude coordinates to robot map
coordinates.
2D mode
For robots moving on a planar surface it is possible to activate the "2D mode" (parameter pos_tracking/two_d_mode
in common.yaml
).
The value of the coordinate Z for odometry and pose will have a fixed value (parameter pos_tracking/fixed_z_value
in common.yaml
).
Roll and pitch and relative velocities will be fixed to zero.
Examples and Tutorials
Examples and tutorials are provided to better understand how to use the ZED wrapper and how to integrate it in the ROS2 framework.
See the zed-ros2-examples
repository
Rviz2 visualization examples
- Example launch files to start a preconfigured instance of Rviz displaying all the ZED Wrapper node information: zed_display_rviz2
- ROS2 plugin for ZED2 to visualize the results of the Object Detection and Body Tracking modules (bounding boxes and skeletons): rviz-plugin-zed-od
Tutorials
- Images subscription tutorial
- Depth subscription tutorial
- Pose/Odometry subscription tutorial
- ROS2 Composition + BGRA2BGR conversion tutorial
Update the local repository
To update the repository to the latest release, use the following command that will retrieve the latest commits of zed-ros2-wrapper
and of all the submodules:
git checkout master # if you are not on the main branch
git pull --recurse-submodules # update recursively all the submodules
Clean the cache of your colcon workspace before compiling with the colcon build
command to be sure that everything will work as expected:
cd <ros2_workspace_root> # replace with your workspace folder, for example ~/ros2_ws/src/
rm -r install
rm -r build
rm -r log
colcon build --symlink-install --cmake-args=-DCMAKE_BUILD_TYPE=Release --parallel-workers $(nproc)
Known issues
[ROS2 Foxy] Image Transport and topic subscriptions
There is an IMPORTANT issue in ROS2 Foxy with the function CameraPublisher::getNumSubscribers
preventing the correct counting of the number of nodes subscribing one of the topics published by an image_transport::CameraPublisher
object and hence stopping the correct publishing of the subscribed topics.
The only known solution is to install the exact version v3.0.0 of the image_transport
package, published on 2021-05-26, that contains the fix for this issue.
To install the working version from the sources:
cd <colcon_workspace>/src # Access the source folder of your colcon workspace
git clone https://github.com/ros-perception/image_common.git --branch 3.0.0 --single-branch # clone the "v3.0.0" branch of the "image_common" repository
cd <colcon_workspace> # Go back to the root of your colcon workspace
colcon build --symlink-install # Compile everything and install
Close the console and re-open it to apply the modifications.
[ROS2 Foxy] Image Transport Plugins and compressed topics
The image_transport_plugins
package is not correctly working with ROS2 Foxy (see here, here, here, and here). We suggest you remove it to avoid many annoying warning messages until the ROS2 developers do not fix it or we find a workaround:
sudo apt remove ros-foxy-image-transport-plugins ros-foxy-compressed-depth-image-transport ros-foxy-compressed-image-transport