The RosettaDrone 2 app creates a Mavlink wrapper for the DJI SDK and enables Mavlink commands to control the DJI drone. A Python script running on a PC is linked by UDP to the RosettaDrone 2 app. As a test case a SSD Mobilenet AI algorithm controls the flight behavior of DJI Mavic 2 drones
Mavlink3DMap is a semi-simulator that communicates with Ardupilot SITL vid UDP and websockets to plot vehicles location and attitudein a 3D environment. It uses HTML, javascript and some 3D and physics libraries to work. The world semi is used because this tool can integrate with any Ardupilot SITL regardless of its engine, and read vehicles location and plot it in a 3D environment. So all physics and logic computation are performed by SITL. However, one can add 3D objects and some physics using moderate developing effort. The tool can also track multiple drones given each drone has its own SYSID_THISMAV.
Below is the famouse flying field in Australia where SITL flies there by default. As we can see the map is displayed in 3D, and from multiple views. A camera is attached to drone and can be controlled via buttons. Another camera is following the drone.
The above map uses flat landscape, i.e. the map is created on a 2D Plan, but the environement is a 3D environment.
The below image shows one step forward, it creates 3D mesh of the map and adjust drone absolute altitude accordingly based on drone home location.
This project is in its very early stage, it is free and open-source and can be accessed here. I hope people start to use and contribute to it.
This app makes your Android phone behave like MAVLink vehicle. You can connect to it using QGroundControl over UDP. The device must be either connected to the same local network, have a Wi-Fi hotspot running or a public IP address. You can also try connecting to it while using VPN or DDNS. Once connected, the Android device starts emitting heartbeat and information about its attitude, location and battery. It also receives and displays manual control messages if the ground station has hardware or on-screen joystick enabled. This example utilizes Java Native Interface. Keep in mind that generating Java libraries using mavgen or dronefleet is the recommended method of creating Android apps compatible with MAVLink. See MAVLink Developer Guide.
