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Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

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PX4-ROS2-Gazebo-YOLOv8

Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

Demo

px4-ros2-gazebo-yolov8-demo.mp4

Docker

  • I've provided a Dockerfile, already tested with the latest version of PX4-Autopilot (v1.15.0).
# Build
git clone https://github.com/monemati/PX4-ROS2-Gazebo-YOLOv8.git
cd PX4-ROS2-Gazebo-YOLOv8
docker build -t px4_ros2_gazebo_yolov8_image .

# Run
XAUTH=/tmp/.docker.xauth
touch $XAUTH
xauth nlist $DISPLAY | sed -e 's/^..../ffff/' | xauth -f $XAUTH nmerge -
docker run --privileged -it --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e NVIDIA_VISIBLE_DEVICES=all --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" --env="XAUTHORITY=$XAUTH" --volume="$XAUTH:$XAUTH" --network=host --ipc=host --shm-size=2gb --env="DISPLAY=$DISPLAY" --env="QT_X11_NO_MITSHM=1" --rm --name px4_ros2_gazebo_yolov8_container px4_ros2_gazebo_yolov8_image

Installation

Create a virtual environment

# create
python -m venv ~/px4-venv

# activate
source ~/px4-venv/bin/activate

Clone repository

git clone https://github.com/monemati/PX4-ROS2-Gazebo-YOLOv8.git

Install PX4

cd ~
git clone https://github.com/PX4/PX4-Autopilot.git --recursive
bash ./PX4-Autopilot/Tools/setup/ubuntu.sh
cd PX4-Autopilot/
make px4_sitl

Install ROS 2

cd ~
sudo apt update && sudo apt install locales
sudo locale-gen en_US en_US.UTF-8
sudo update-locale LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8
export LANG=en_US.UTF-8
sudo apt install software-properties-common
sudo add-apt-repository universe
sudo apt update && sudo apt install curl -y
sudo curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(. /etc/os-release && echo $UBUNTU_CODENAME) main" | sudo tee /etc/apt/sources.list.d/ros2.list > /dev/null
sudo apt update && sudo apt upgrade -y
sudo apt install ros-humble-desktop
sudo apt install ros-dev-tools
source /opt/ros/humble/setup.bash && echo "source /opt/ros/humble/setup.bash" >> .bashrc
pip install --user -U empy pyros-genmsg setuptools

Setup Micro XRCE-DDS Agent & Client

cd ~
git clone https://github.com/eProsima/Micro-XRCE-DDS-Agent.git
cd Micro-XRCE-DDS-Agent
mkdir build
cd build
cmake ..
make
sudo make install
sudo ldconfig /usr/local/lib/

Build ROS 2 Workspace

mkdir -p ~/ws_sensor_combined/src/
cd ~/ws_sensor_combined/src/
git clone https://github.com/PX4/px4_msgs.git
git clone https://github.com/PX4/px4_ros_com.git
cd ..
source /opt/ros/humble/setup.bash
colcon build

mkdir -p ~/ws_offboard_control/src/
cd ~/ws_offboard_control/src/
git clone https://github.com/PX4/px4_msgs.git
git clone https://github.com/PX4/px4_ros_com.git
cd ..
source /opt/ros/humble/setup.bash
colcon build

Install MAVSDK

pip install mavsdk
pip install aioconsole
pip install pygame
sudo apt install ros-humble-ros-gzgarden
pip install numpy
pip install opencv-python

Install YOLO

pip install ultralytics

Additional Configs

  • Put below lines in your bashrc:
source /opt/ros/humble/setup.bash
export GZ_SIM_RESOURCE_PATH=~/.gz/models
  • Copy the content of models from main repo to ~/.gz/models
  • Copy default.sdf from worlds folder in the main repo to ~/PX4-Autopilot/Tools/simulation/gz/worlds/
  • Change the angle of Drone's camera for better visual:
# Go to ~/PX4-Autopilot/Tools/simulation/gz/models/x500_depth/model.sdf then change <pose> tag in line 9 from:
<pose>.12 .03 .242 0 0 0</pose>
to:
<pose>.15 .029 .21 0 0.7854 0</pose>

Run

Fly using Keyboard

You need several terminals.

Terminal #1:
cd ~/Micro-XRCE-DDS-Agent
MicroXRCEAgent udp4 -p 8888

Terminal #2:
cd ~/PX4-Autopilot
PX4_SYS_AUTOSTART=4002 PX4_GZ_MODEL_POSE="268.08,-128.22,3.86,0.00,0,-0.7" PX4_GZ_MODEL=x500_depth ./build/px4_sitl_default/bin/px4

Terminal #3:
ros2 run ros_gz_image image_bridge /camera

Terminal #4:
source ~/px4-venv/bin/activate
cd ~/PX4-ROS2-Gazebo-YOLOv8
python uav_camera_det.py

Terminal #5:
source ~/px4-venv/bin/activate
cd ~/PX4-ROS2-Gazebo-YOLOv8
python keyboard-mavsdk-test.py

When you run the last command a blank window will open for reading inputs from keyboard. focus on that window by clicking on it, then hit "r" on keyboard to arm the drone, and use WASD and Up-Down-Left-Right on the keyboard for flying, and use "l" for landing.

Fly using ROS 2

You need several terminals.

Terminal #1:
cd ~/Micro-XRCE-DDS-Agent
MicroXRCEAgent udp4 -p 8888

Terminal #2:
cd ~/PX4-Autopilot
PX4_SYS_AUTOSTART=4002 PX4_GZ_MODEL_POSE="283.08,-136.22,3.86,0.00,0,-0.7" PX4_GZ_MODEL=x500_depth ./build/px4_sitl_default/bin/px4

Terminal #3:
ros2 run ros_gz_image image_bridge /camera

Terminal #4:
source ~/px4-venv/bin/activate
cd ~/PX4-ROS2-Gazebo-YOLOv8
python uav_camera_det.py

Terminal #5:
cd ~/ws_offboard_control
source /opt/ros/humble/setup.bash
source install/local_setup.bash
ros2 run px4_ros_com offboard_control

Acknowledgement

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Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

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