NIUVS Open Source Scheme

NIUVS Open Source Scheme: 5G-UVS project is now available on Gitee.com!

Welcome to NIUVS (Neted Intelligent Unmanned Vehicle System) Open Source Scheme. This is 5G Unmanned Aerial System Program!

NIUVS Open Sources Scheme focus on the reserch and development of neted unmanned system, intending to offer an open sources platform to develop unmaned system technology. We hope to Let Unmanned Vehicle Benifits More.

5G-UAS project tends to develop Neted Aerial Vehicle that can be remotely controled via 5G network. Based on which, one could develop all kind of intelligent industial applications.

What will you need to make 5G-UAS

  1. A drone that contain frame, motors, ESCs, rotors and other optional devices that you may need;

  2. Pilot Board that runs PX4 flight controal systems;

  3. An onboard computer with Linux4 or above (Nvidia TX2, Nvidia Jetson Nano, Raspberry Pi 3B/3B+/4 or other) Tip: The onboard computer must be arm64-based

How to install

  1. Setup your operation system on your onboard computer, Ubuntu 18.04 is recommended (For Raspberry Pi computer, Raspberry Pi OS will be recommended)

  2. Setup the internet connection of your onboard computer

  3. Open terminal and

git clone https://gitee.com/liushubo99/niuvs.git
cd niuvs
chmod u+x
sudo ./uav_install.sh
  1. Connect you PX4 Pilot board with a Windows host computer via USB

  2. Download XXX file to the Windows host computer and unzip. Open Beacon.exe, connect the pilot board by press the Connect button upright and flash ./Parameter/YourPilotDevices.param into your PX4 pilot board

  3. Connect your onboard computer with PX4 Pilot board via USB.

  4. Open Beacon.exe on your Ground Control Station. Enable the Joysticker. Choose UDP item and press Connect button. Keep the listening port default 14550.

  5. Control the aerial vehicle as you like, enjoy!

Contributer

Shubo Liu, contact shubo.liu@se17.qmul.ac.uk

Jack Honson, contact JackHonsen@foxmail.com

Acknowledge

Thank to the supporting of Robotic Innovation Lab, Training Centre for Engineering Practices, NPU.

Shubo Liu
Shubo Liu
PhD Student of Computer Science

Hi, there! I am a machine learning and computer vision enthusiast and researcher. My focus is on computer vision and robotic swarm. I want to change the world by innovation.

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