An information apparatus includes a schedule obtainment unit that obtains flight schedule information transmitted from terminals. Allocation unit allocates an airspace and a permitted flight period to drone based on the obtained flight schedule information. If there is a predetermined commonality in the airspaces and the flight directions of multiple drones, allocation unit causes those multiple drones to share the airspace under the condition that formation flight in which distances therebetween are controlled is performed. Allocation unit determines an arrangement in which multiple drones are aligned in the order in which drones withdraw from formation flight as the arrangement of multiple drones during formation flight. Also, allocation unit determines an arrangement in which drone that does not include a formation flight function is in front and drone that includes formation flight function follows therebehind.

An aircraft enhanced vision system includes an electromagnetic sensor comprising at least one group of transmitters and at least one group of receivers. The electromagnetic sensor includes a waveform generation assembly powering each transmitter in order to generate the transmitted signal and a signal capture assembly to capture the signal received by each receiver after reflection off of the ground. The transmitters are distinct and spaced apart from the receivers, being arranged so as to form at least one virtual transmitter/receiver network extending in an elongation direction perpendicular to the observation direction from each transmitter/receiver combination between the group of transmitters and the group of receivers.

Embodiment of the present invention are a flight control method and apparatus for an unmanned aerial vehicle, and an unmanned aerial vehicle. The flight control method for an unmanned aerial vehicle includes: obtaining an obstacle position and an obstacle orientation of each obstacle within a preset range around the unmanned aerial vehicle; calculating a push-pull coefficient of each obstacle relative to the unmanned aerial vehicle according to the obstacle position of each obstacle; obtaining a target position and a target orientation of the unmanned aerial vehicle; calculating a baton coefficient of the target position relative to the unmanned aerial vehicle according to the target position; and adjusting a flight direction of the unmanned aerial vehicle according to the baton coefficient, the target orientation, the push-pull coefficient of each obstacle relative to the unmanned aerial vehicle, and the obstacle orientation.

The present disclosure relates to a technical field for airborne navigation and discloses a data acquisition system and method for airborne navigation devices based on unmanned aerial vehicle. The system includes an unmanned aerial vehicle flight control system, a navigation devices test antenna array, a multi-channel signal processing module, a signal acquisition module, an ADS-B transmitting module, a GNSS receiver, a UHF data link receiver, a power module and a ground station. The unmanned aerial vehicle is equipped with corresponding modules to receive signals from ground navigation devices, perform corresponding processing and storage, and transmit data to the ground, at the same time, receive control instructions sent by the ground to complete corresponding monitoring, analysis and inspection.

An aircraft navigational system for a multiengine aircraft can include a flight planning module configured to receive two or more navigational points defining a route and determine if a first degraded operation ceiling is high enough to travel along the route based on obstacle data defining relative location of one or more obstacles and one or more obstacle clearance standards. The module can be configured to receive a status and/or performance limitation of an electric motor system of the aircraft. The module can be configured to determine if the electric motor system is or will be able to provide temporary additional power to produce a second degraded operation ceiling for at least a required time based on the status and/or performance limitation of the electric motor system if the first degraded operation ceiling is not high enough to permit travel along the route. The second degraded operation ceiling can be high enough to travel along the route based on the obstacle data and the one or more obstacle clearance standards.

A microwave-based radio system for realising a precise landing approach (MLS), characterised in that an azimuth antenna transmitter and/or an elevation signal transmitter and/or a DME transmitter, and preferably all three said transmitters, are placed aboard an unmanned aerial vehicle, and in particular on a drone. The object of the disclosure is also a method for realising a precise landing approach using such a system.

Methods and systems are provided for guiding or otherwise assisting operation of an aircraft when diverting from a flight plan. One method involves determining a gliding trajectory for the aircraft based at least in part on a current altitude of the aircraft, providing a graphical representation of the gliding trajectory for the aircraft, identifying a plurality of landing locations within a range defined by the gliding trajectory from the aircraft, and for each landing location of the plurality of landing locations, providing a graphical representation of a respective landing location with respect to the gliding trajectory at a respective altitude associated with the respective landing location and at a respective distance with respect to a graphical representation of the aircraft corresponding to a respective geographic distance between a current location of the aircraft and the respective landing location.

A system and method for alerting when a trend vector associated with a traffic aircraft is predicted to intercept a travel route of an ownship aircraft. A control module receives real-time aircraft state data, flight plan data, and traffic data associated with the traffic aircraft. The control module processes these data and constructs the travel route of the ownship aircraft from the current location to the intended destination The control module generates the trend vector associated with the traffic aircraft, predicts a location of an intersection of the trend vector and the travel route, determines an amount of time it will take for the ownship aircraft to reach the location of the intersection, and generates display commands that cause the display device to generate an alert that visually distinguishes the location on the image based at least in part on the amount of time.

An unmanned aerial vehicle (“UAV”), the UAV including an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller is configured to: determine a geographic location and a velocity of the UAV. The flight controller configured to: determine a distance between the geographic location of the UAV and a closest segment of a no-fly-zone. The flight controller in response to the distance being less than a threshold distance, control a speed and thrust applied by the thrust motors through the electric speed controller to reduce both the first component and the second component of the velocity of the UAV based on the distance. The flight controller configured to: override a user input received via a user interface so that the UAV is moved relative to the closest segment of a no-fly-zone according to instructions from the flight controller.

Systems and methods for displaying a scorecard for rating pilot performance by registering a wearable device based on the identification of the wearable device through pilot profile data, location data, and an identification key data received from the wearable device; linking, the wearable device to the avionic system to receive flight data, and to a cloud server to receive computed performance scores for in-flight display by the wearable device; alternately, in response to a manual input action, authenticating pilot identity to enable pilot access and linking of the flight data to the cloud server for display; generating a set of flight components via a model specified for a flight phase based on data from the wearable device if available, and the flight data, the model includes flight performance score values; displaying a flight phase performance score; and displaying on the graphical user interface in a cockpit display the performance scorecard.