Systems and methods are disclosed for transporting people using air vehicles.

Locating, aiding, and communicating with users and personnel in emergency situations by traversing a defined path utilizing an unmanned vehicle, detecting a user within a threshold distance of the defined path, logging a geolocation of the user within the unmanned vehicle, and determining whether to dispatch assistance to the user.

Disclosed are methods and systems for providing audible flight information to an operator of an aircraft. A method, for example, may include receiving flight information detected by one or more sensors positioned on the aircraft, causing an image to be displayed on a display device, the image including a plurality of text items corresponding to the flight information, receiving a first operator selection indicative of one or more of the text items, parsing the one or more text items to generate a set of intermediate data, synthesizing audio data based on the intermediate data, and causing audible content corresponding to the audio data to be emitted by one or more audio emitting devices, wherein the audible content includes speech corresponding to the flight information.

Provided is a user equipment for controlling a drone. The user equipment analyzes an original video to control the drone to photograph a reproduction video giving a feeling identical to or similar to the original video. An electronic device may be connected to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can receive sensor data associated with an object in a particular airspace from one or more radio frequency sensors. The tracking system can analyze the sensor data relating to the object to identify a type of RF signal being used by the object. A portable countermeasure device can generate one or more disruption signals on one or more targeted bands of spectrum based on the type of RF signal being used by the object.

Provided is a navigation system for operating a navigation system, which navigation system includes a first sub navigation system placed at an aeroplane and a second stationary sub system, which first sub navigation system includes a plurality of radio receivers, which radio receivers are configured to receive signal from a plurality of navigation satellites, which navigation system includes at least one processor, which processor is configured to perform calculation of the actual position data, which navigation system includes a radio transmitter, which radio transmitter is configured to transmit position data to communication satellites. The communication satellites can include radio transmitters for transmitting position data to a ground based receiver, which second sub system includes at least one server. Hereby can position data in that way the position of that aeroplane will be calculated and the actual position data and actual time will be stored in the server.

The present disclosure provides a compliance test method and system for Receiver Autonomous Integrity Monitoring (RAIM) performance of a BeiDou navigation satellite system (BDS) airborne equipment. The method includes: acquiring BDS almanac parameters and test parameters (101); determining whether the satellites are visible according to the almanac parameters and the test parameters (102); acquiring space-time points when the satellites are visible (103); computing the Horizontal Protection Limit (HPL) of each of the space-time points (104); selecting marginal geometries space-time points according to the HPL (105); test the space-time points and the marginal geometries space-time points to obtain a first test result (106); acquiring the configuration parameters and the BDS almanac of the satellite navigation vector signal generator for the marginal geometries space-time points (107); decoding the configuration parameters and the BDS almanac to obtain the number of visible satellites (108); determining whether the number of visible satellites is greater than a threshold (109); testing the marginal geometries space-time points to obtain the second test result if yes (110); and determining whether the first test result is matched with the second test result (111). The method can check whether the BDS airborne equipment meets airworthiness requirements.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

A system for flight control system using simulator data for an electric aircraft is presented. The system includes a computing device, the computing device configured to receive a plurality of measured flight data, simulate a plurality of aircraft performance model outputs as a function of a flight simulator and the plurality of measured flight data, determine a moment datum as a function of the plurality of measured flight data and the plurality of aircraft performance model outputs, generate an allocation command datum as a function of the moment datum and the plurality of aircraft performance model outputs, and perform a torque allocation on a flight component of a plurality of flight components as a function of the allocation command and the moment datum.

A system and method for autonomous flight control with mode selection an electric aircraft is illustrated. The system comprises an altitude-related sensor and a computing device. The altitude-related sensor is coupled to the electric aircraft and is configured to detect an altitude value. The computing device is communicatively connected to the altitude-related sensor and is configured to receive the altitude value from the altitude-related sensor, to determine a flight mode as a function of the altitude value and an altitude threshold, to determine an aircraft adjustment as a function of a determine flight mode, and to generate an autonomous function configured to enact the determined flight mode and an aircraft adjustment automatically.