The complete system enables the use of high-level or lower-level commands to control a general aviation aircraft in realistic world scenarios anywhere in the world. In this work we present XPlaneROS that integrate a high-fidelity simulator with a state-of-the-art autopilot. A number of high-fidelity flight simulators exist, such as Microsoft Flight Simulator and X-Plane, but natively do not integrate with traditional deep learning and robotics pipelines. There exist realistic simulators for testing driving cars (CARLA) and autonomous drones (AirSim) which makes testing and deployment more efficient and safe. Traffic density compared to instrument flight rules (IFR) or completely separated operationsĪs is the case with such systems, we need the ability to verify the safety of the algorithms before deploying them in the real world. Mastering visual flight rules (VFR) operations for autonomousĪircraft has significant operational advantages at unimproved sites, as well as in achievable One area that is particularly challenging for autonomousĪircraft are airport/heliport operations where conflicts between aircraft are common and Today, manned and unmanned vehicles are separated, limiting the utility and flexibility of XPlaneROS : ROS Wrapper for Autonomous Fixed Wing Applications

X plane 11 video recording controls