A flight data aggregation system for a plurality of aircraft includes one or more portable electronic devices in electronic communication with one or more central computers. The one or more portable electronic devices each monitor flight data from a corresponding aircraft. The one or more portable electronic devices analyze the flight data in real-time to determine an insight event indicating an incident of significance is presently occurring upon the corresponding aircraft. Each central computer includes one or more processors and a memory coupled to the one or more processors. The central computers are caused to receive the flight data collected during the insight event from an individual portable electronic device. The central computers determine overall flight data patterns based on the flight data collected during the insight event received from the individual portable electronic device and historical data stored in the one or more databases.

A formation flight assistance system is placed on board a follower aircraft to benefit from an upwards air flow induced by a wake vortex generated by a leader aircraft. The system determines a wake vortex effect experienced by the follower aircraft as being a difference between measurements taken by sensors and modelling in a wake vortex free environment. Using a recursive Bayesian filter, the system determines an estimated position of the wake vortex on the basis of information relating to the leader aircraft and a wake vortex model, and determines an estimation uncertainty, according to which a potential discomfort window is computed for the passengers of the follower aircraft. The system keeps the follower aircraft outside the potential discomfort window. Thus, the comfort of the passengers of the follower aircraft is provided, while benefiting from an upwards air flow induced by the wake vortex.

A system for swarm communication for an electric aircraft fleet, wherein the system includes a plurality of electric aircrafts connected by a mesh network. The system 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 aircrafts. 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 system further includes a cloud database configured to record the plurality of aircraft data.

An autonomous vehicle system includes a body and a plurality of sensors coupled to the body and configured to generate a plurality of sensor measurements corresponding to the plurality of sensors. The system also includes a control unit configured to: receive inputs from a plurality of sources wherein the plurality sources comprise the plurality of sensors, the inputs comprise the plurality of sensor measurements; determine a confidence level of each input based on other inputs; prioritize, based on the confidence level associated with each input, the inputs; generate, based on the prioritization of the inputs and the confidence level, a combined input with a combined confidence level; and determine, based on the combined input and the combined confidence level, a mission task to be performed.

Systems, methods, and non-transitory computer readable media for identifying a cockpit alert context during an aircraft mission are provided. The system includes a controller configured to: store message content in a clearance look-up table for one or more clearance messages received from air traffic control (ATC) during the aircraft mission that contain cockpit data about which an avionic system in an aircraft may later sense and generate a cockpit system alert for display on a cockpit display device; monitor a plurality of avionic systems in the aircraft for a cockpit system alert; retrieve an ATC clearance message from the clearance look-up table that corresponds to a detected cockpit system alert when a cockpit system alert is detected; and signal an aircraft display device to display the ATC clearance message in a visually distinguishable manner that indicates that the displayed ATC clearance message relates to a detected cockpit system alert.

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 method for collecting flight data from aircraft. Each aircraft in a set of collecting aircraft collects information of ADS-B type received from other aircraft and associates contextual information with the received information of ADS-B type. Additionally, each aircraft in the set of collecting aircraft transmits the received information of ADS-B type, as well as the associated contextual information, to a common server. The common server receives and stores the information transmitted by the various aircraft in the set of collecting aircraft. The stored information is filtered so as to exclude information of ADS-B type which is incoherent taking into account contextual information. At least some of the filtered information is transmitted to a user.

A traffic information processing equipment, system and method. The traffic information processing equipment includes an image recognition and decision device and a warning device. The image recognition and decision device is configured to process a received traffic route image to identify a scene, and determine whether to perform a warning operation according to the scene to obtain a determination result. The warning device is configured to generate warning information according to the determination result for sending prompt information to vehicles in a traffic route.

An example system for flying to a target location is provided, comprising a parent aerial vehicle and at least one child vehicle releasably coupled to the parent vehicle. The parent vehicle is configured to transport the at least one child aerial vehicle to a region containing a target location, uncouple from the at least one child aerial vehicle, and transmit information to the at least one child aerial vehicle relevant to operation of the child aerial vehicle. The child aerial vehicle comprises at least one sensor for surveillance at the target location.

Methods, devices, and systems for aircraft identification are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to simulate virtual light detection and ranging (Lidar) sensor data for a three-dimensional (3D) model of an aircraft type to generate a first point cloud corresponding to the 3D model of the aircraft type, generate a classification model utilizing the simulated virtual Lidar sensor data of the 3D model of the aircraft type, and identify a type and/or sub-type of an incoming aircraft at an airport by receiving, from a Lidar sensor at the airport, Lidar sensor data for the incoming aircraft, generating a second point cloud corresponding to the incoming aircraft utilizing the Lidar sensor data for the incoming aircraft, and classifying the second point cloud corresponding to the incoming aircraft using the classification model.