An example method can include generating, via the first sensor, a first group of output tracks associated with a motion of a first target object; generating, via the second sensor, a second group of output tracks associated with the motion of a second target object; analyzing, via a track analysis module, the first group of output tracks and the second group of output tracks to determine whether the first target object and the second target object are a same object to yield a determination; and, when the determination indicates that the first target object and the second target object are the same object, presenting a graphical user interface on a computing device that enables a user to select whether to display on the graphical user interface: (1) a single track from the first group of output tracks or the second group of output tracks and (2) a fused group of tracks selected from the first group of output tracks or the second group of output tracks.

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 apparatus for swarm communication for an electric aircraft fleet, wherein the apparatus includes a plurality of electric aircraft connected by a mesh network. The apparatus further includes a computing device communicatively connected to the mesh network, wherein the computing device includes an authentication module configured to authenticate each electric aircraft and facilitate communication of a plurality of aircraft data between the plurality of electric aircraft. The computing device includes a plurality of communication components, each assigned to an electric aircraft of the electric aircraft fleet, wherein each communication component is configured to transmit the aircraft data to the communication component of its assigned electric aircraft. The apparatus further includes a cloud database configured to record the plurality of aircraft data.

A method and system to integrate information in a coordinated mission of a group of user vehicles is provided. The method comprises storing a call sign in a database for each user vehicle, among the group of user vehicles, in the coordinated mission; and identifying a speaker vehicle among the user vehicles by comparing a call sign from parts of speech (POS) with the stored call signs. The method further comprises highlighting the identified speaker vehicle in a common display of each user vehicle; and determining whether the POS from the speaker vehicle contains a reference to a point of interest (POI). The method generates a graphical symbol for the POI when the POS from the speaker vehicle contains a reference to the POI, and tags the graphical symbol at a location of the POI in the common display of each user vehicle.

A method of landing an aircraft in which the aircraft receives information from a second aircraft via a direct aircraft-to-aircraft communication from the second aircraft to the aircraft; determines a landing plan of the aircraft based on the information; and lands the aircraft based on the landing plan. The use of a direct aircraft-to-aircraft communication (i.e. a communication from the second aircraft to the first aircraft which does not travel via an intermediary such as a land station, air traffic controller or satellite) makes the method reliable because such a communication is inherently secure and difficult to hack.

An information interaction system and method for heterogeneous detection and recognition devices for a low-altitude unmanned aerial vehicle (UAV) are provided, where each edge data unit is connected to a uniquely corresponding low-altitude UAV detection and sensing device and an access and distribution unit. The access and distribution unit is connected to a storage service unit and at least one scheduling and calculation unit. Each scheduling and calculation unit is connected to a comprehensive calculation and display unit. The comprehensive calculation and display unit is connected to the storage service unit. The storage service unit sends historical data to the comprehensive calculation and display unit after being authorized. The method is applied to the information interaction system for heterogeneous detection and recognition devices for a low-altitude UAV. A problem of data collaborative application of different low-altitude UAV detection devices is resolved.

An unmanned aerial vehicle (UAV) or drone executes a neural network to assist with detecting and responding to attacks. The neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation and may communicate with a high-altitude pseudosatellite (HAPS) platform For example, if the neural network detects a cyber-attack but determines that it does not interfere with external communications, it may shift navigation control of the drone to the HAPS.

A system may include a display and a processor communicatively coupled to the display. The processor may be configured to: output, to the display, a view of an airport moving map (AMM); receive aircraft state data and airport surface data; at least based on the current position of the aircraft and at least one factor, obtain commonly used taxi route data from a data structure, the data structure including taxi route data, the taxi route data including information of commonly used taxi routes for the airport, wherein the commonly used taxi route data includes information of a commonly used taxi route for the aircraft on the airport surface; based at least on the commonly used taxi route data, the aircraft state data, and the airport surface data, generate taxi routing guidance content; and output, to the display, the taxi routing guidance content.

A system and method for interference detection. The system and method receives flight data comprising a plurality of flights. The system and method identifies a plurality of signal drop events based on at least the flight data. The system and method determines one or more co-located signal drop event subsets based on at least the plurality of signal drop events and filter criteria. The system and method determines one or more interference events based on the one or more co-located signal drop event subsets, wherein each of the one or more co-located signal drop event subsets is based on at least two or more of the plurality of signal drop events.

Various embodiments provide methods for controlling landings of a UAV in a landing zone including a plurality of landing bays. Various embodiments include a method implemented on a computing device for receiving continuous real-time sensor data from a transceiver and from sensors onboard the UAV, and detecting a target landing bay within the plurality of landing bays within the landing zone that is available for landing based on the continuous real-time sensor data. Orientation and position coordinates for landing in the target landing bay may be calculated based on the continuous real-time sensor data. Information regarding positions and flight vectors of a plurality of autonomous UAVs may be obtained, and a flight plan for landing in the target landing bay may be generated based on the orientation and the position coordinates, positions and flight vectors of the plurality of autonomous UAVs and a current orientation and position of the UAV.