Obstacle Avoidance

Repository: https://github.com/UWARG/obstacle-avoidance

Usage

Using simulator:

1. Setup the repository:

   git clone https://github.com/UWARG/obstacle-avoidance.git
   git checkout main 
   git pull 
   git submodule update --remote

2. Activate the virtual environment

   1. See Autonomy Workflow Software

3. Install requirements.

   pip install -r requirements.txt
   pip install -r modules/common/requirements.txt

4. Start Mission Planner.

5. Setup waypoints.

6. Setup Mavlink Forwarding

   1. See Mission Planner Simulated Ardupilot

7. Connect the LiDAR to your machine.

8. Run the main script.

   python -m main

9. Start the mission.

Using Raspberry Pi 5:

1. Make the following hardware connections from the Raspberry Pi:

   1. Connect to LiDAR via USB-A to Micro-USB.

   2. Connect to Pixhawk Telem 2 port using FTDI cable.

      

   3. Connect to power source.

2. SSH into Raspberry Pi.

   1. Refer to

3. Enter the obstacle avoidance repository cd WARG/obstacle-avoidance/.

4. Activate the virtual environment source venv/bin/activate.

5. Ensure requirements are installed and submodules are initialized.

6. Run the flight controller test and check for odometry output.

   1. cd modules/common/

   2. python -m mavlink.test_flight_controller

   3. If odometry is outputted, exit the program, otherwise check Pixhawk connection.

7. Run the main script.

   1. Go back to the obstacle-avoidance directory.

   2. Run python -m main.

8. Start an AUTO mission.