An information processing apparatus includes an accumulation unit that accumulates history information regarding a flight history of an aircraft. A specification unit, based on the history information accumulated by the accumulation unit, specifies a candidate to be an operation assistant who assists an operation planned by an assisted operator. An output unit outputs information regarding the candidate to be the operation assistant specified by the specification unit.

A system for an aircraft includes an optical sensor, at least one aircraft sensor, and a controller. The optical sensor is configured to emit a laser outside the aircraft, and the at least one aircraft sensor is configured to sense at least one aircraft condition. The controller is configured to determine a first operational state of the aircraft based upon the at least one aircraft condition and determine a second operational state of the aircraft based on the at least one aircraft condition, and operate the optical sensor to emit the laser at a first intensity during the first operational state and a second intensity during the second operational state, wherein the second intensity is greater than the first intensity.

The present disclosure aims to implement UAV (unmanned aerial vehicle) logistics operation and air traffic control in flyable airspace technically through a UAV task planning system, which depends on blockchain technology to carry out UAV air traffic surveillance on flight segments in a predetermined barrier-free airway and optimize air traffic according to a safe separation distance for fewest UAV operators, air traffic controllers, communications links and airborne loads.

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.

The aircraft take-off awareness system predicts and informs the pilot about where on the runway certain safety speeds will be achieved. A processor coupled to receive inertial data from the aircraft computes an aircraft weight estimate based at least in part upon the inertial data. The processor then computes a future acceleration prediction based on the computed aircraft weight estimate. Using the future acceleration prediction, the processor then computes the position of various warning reference distances corresponding to predicted positions on the runway at which said certain safety speeds will be achieved. The processor generates a display that it dynamically updates as the reference distances change as the aircraft proceeds down the runway during take-off or aborted take-off.

An aircraft angle of attack and sideslip angle indicator includes a display responsive to angle of attack and sideslip angle measurements from an angle of attack sensor and a sideslip angle sensor on an aircraft. The display depicts angle of attack along a first (preferably vertical) axis, and sideslip angle along a second (preferably horizontal) axis, with the axes intersecting at a display datum which represents acceptable angle of attack and sideslip angle values from the aircraft. The display depicts the aircraft's current angle of attack and sideslip angle with respect to the display datum, thereby indicating to the pilot whether non-optimal (and perhaps dangerous) flight conditions are occurring.

The method comprises a step of simultaneous scanning the list of elements of each flight plan comprising for each given pair of a first scan index and a second scan index, a comparison between the first flight plan element whose position index corresponds to the first scan index and the second flight plan element whose position index corresponds to the second scan index, according to the following sub-steps when the first element is identical to the second element, adding at least one of said elements in a resulting list with a “no difference” marker; otherwise, adding in the resulting list, the first element with a marker “removed” and the second element with a marker “added”.

An airport ground collision alerting system and a method of operating an airport ground collision alerting system. The airport ground collision alerting system comprises an automatic dependent surveillance-broadcast, ADS-B, receiver; a first database coupled to the ADS-B receiver and configured for look-up of aircraft type data based on aircraft ID data received via the ADS-B receiver and for storing aircraft position and heading data received via the ADS-B receiver; a second database configured to store digital map data for one or more airports; a processor unit coupled to the first and second databases and an application programming interface, API, configured to couple the airport ground collision alerting system to a display device.

A flight plan generation device for generating a flight plan of a flight device that transmits a captured image captured by an imaging unit through wireless communication during flight includes a first acquisition unit configured to acquire target information for specifying an imaging target to be imaged by the imaging unit during flight of the flight device and image quality information for specifying required image quality of a captured image of the imaging target, a second acquisition unit configured to acquire communication quality information on wireless communication quality in a predetermined area including at least a flight airspace of the flight device, and a flight plan generation unit configured to generate a flight plan including a flight path of the flight device and an imaging parameter of the imaging unit based on the acquired target information, image quality information, and communication quality information.

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.