This repository contains ROS 1 and ROS 2 drivers for the CANLAB CLPE-G-NVP2650D system. CLPE-G-NVP2650D is a multi camera grabber board for N2.0 GMSL camera. This drivers exposes camera images and information from CLPE-G-NVP2650D as ROS messages using the image_transport framework.
This branch contains the ROS 2
driver. For the ROS 1
driver, please switch to the noetic
branch.
Requirements:
- CANLAB CLPE-G-NVP2650D with supplied PC running Ubuntu 20.04
- CLPE_G_NVP2650D_SDK
- ROS 2 Foxy or ROS 2 Galactic
Note: It is strongly recommended to install
Ubuntu 20.04
on the PC shipped with CLPE-G-NVP2650D. This way ROS 2 binaries can be installed as debian packages. If the PC is runningUbuntu 18.04
, ROS 2 will need to be built from source which is not officially supported onUbuntu 18.04
. Alternatively, containers or VM may be used but the CLPE-G-NVP2650D drivers has to be properly passed through.
sudo apt update && sudo apt install git cmake wget gcc python3-colcon* python3-rosdep python3-vcstool -y
Depending on the version of Ubuntu installed, follow the instructions in the links above to install ROS 2 binaries or from source. To source ROS 2
source /opt/ros/foxy/setup.bash # if binaries are installed
source ~/ros2_foxy/install/setup.bash # if installed from source following link above
Note: Replace
foxy
withgalactic
if using ROS 2 Galactic
Create workspace
mkdir -p ~/ws_clpe/src
cd ~/ws_clpe/
wget https://raw.githubusercontent.com/canlab-co/clpe_ros/main/clpe.repos
vcs import src < clpe.repos
Install dependencies
cd ~/ws_clpe
# source your ROS 2 workspace before this command
sudo rosdep init # if you have not done this before
rosdep update
rosdep install --from-paths src --ignore-src --rosdistro $ROS_DISTRO -y
Build the driver
cd ~/ws_clpe
# source your ROS 2 workspace if you have not already
colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release
# To also build the benchmarking scripts
colcon build --cmake-args -DCMAKE_BUILD_TYPE=Release -DCLPE_ROS_BUILD_BENCHMARKS=On
For better image transport performance over DDS, we recommend using FastDDS with Shared Memory Transport enabled.
First copy the the fastdds.xml
config file to a suitable directory, eg. $HOME/fastdds.xml
cd ~/ws_clpe/src
cp canlab/fastdds.xml ~/
Next add these two lines to your ~/.bashrc
export RMW_IMPLEMENTATION=rmw_fastrtps_cpp
export FASTRTPS_DEFAULT_PROFILES_FILE=$HOME/fastdds.xml
Make sure to source ~/.bashrc
first on all terminals before launching any ROS 2 nodes including the driver.
cd ~/ws_clpe
source install/setup.bash
ros2 launch clpe_ros clpe_ros.launch.py password:=<sudo-password> encoding:=yuv422
Note: If
sudo_password
is a number, say42
, you should pass it aspassword:=\'42\'
By default the driver will publish three topics per camera X.
- /clpe/cam_X/image_raw: The raw image published as
sensor_msgs::msg::Image
. The default encoding isyuv422
. For other supported encodings, see Configuration below. - /clpe/cam_X/camera_info: The intrinsics of the camera published as a
sensor_msgs::msg::CameraInfo
message. - /clpe/cam_X/clpe_camera_info: The intrinsics of the camera published as a clpe_ros_msgs::msg::ClpeCameraInfo message.
The driver is also supported as a ROS2 component. To run it, start the component container
ros2 run rclcpp_components component_container
In another terminal, load the component
ros2 component load /ComponentManager clpe_ros clpe::ClpeComponentNode -p password:=<password>
Check that the component is loaded with
ros2 component list
The driver supports the following ROS parameters to configure its behavior. The password
and encoding
parameters can be overwritten at run time. Other parameters can be modified within the launch file.
Key | Description | Default |
---|---|---|
password | sudo password | *Required* |
encoding | Image encoding, supported formats are: bgr8, bgra8, rgb8, rgba8, mono16, yuv422. Defaults to yuv422. Note that encodings other than yuv422 incurs conversion overhead. | yuv422 |
cam_{n}_enable | Enable camera | true |
cam_{n}_pose | Pose relative to the base, 6 values corresponding to [x, y, z, roll, pitch, yaw] | [0,0,0,0,0,0] |
cam_{n}_frame_id | Defines the frame_id all static transformations refers to | base_link |
cam_{n}_image_qos | Sets the QoS by which the topic is published. Available values are the following strings: SYSTEM_DEFAULT, PARAMETER_EVENTS, SERVICES_DEFAULT, PARAMETERS, DEFAULT, SENSOR_DATA, HID_DEFAULT (= DEFAULT with depth of 100), EXTRINSICS_DEFAULT (= DEFAULT with depth of 1 and transient local durabilty). | SENSOR_DATA |
cam_{n}_info_qos | Sets the QoS by which the topic is published. Available values are the following strings: SYSTEM_DEFAULT, PARAMETER_EVENTS, SERVICES_DEFAULT, PARAMETERS, DEFAULT, SENSOR_DATA, HID_DEFAULT (= DEFAULT with depth of 100), EXTRINSICS_DEFAULT (= DEFAULT with depth of 1 and transient local durabilty). | SYSTEM_DEFAULT |
Unless specified otherwise, all parameters are read-only, that is, they must be initialized at startup and cannot be changed at runtime.