There is provided a method performed by a configuration unit, the configuration unit being communicatively coupled to a communication network and an Uncrewed Aerial System, UAS, the UAS including an Uncrewed Aerial Vehicle, UAV, and a UAV controller, UAV-C, the method comprising: receiving, for each of a plurality of UAV service suppliers, USS, information specifying a service area of that USS; obtaining UAS specific information, wherein the UAS specific information comprises a UAV registration area, a USS service requirement, or a combination thereof; and determining a mapping of the UAS specific information to one or more of the plurality of USSs based on the received USS information and the obtained UAS specific information.

A system for urban air mobility monitors flight separation for compliance with a safe separation distance. A reference formation airspace is established for a reference air taxi based on minimum longitudinal, lateral and vertical parameters. When penetration of the reference formation airspace is detected, a penetration airspace is established. A centroid of the penetration airspace is determined and a target separation to the centroid is supplied to the air taxi to reestablish safe separation. The extent of separation is also safely contained by the presence of virtual air taxis whose positions on the periphery of the penetrated airspace serve to limit potential penetration of surrounding air taxi air spaces.

Systems and methods for navigating an aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for navigating an aircraft. The method includes receiving, by one or more processors, one or more first geographic coordinates via an interface configured to receive geographic coordinates from a satellite transmission. The method includes receiving, by the one or more processors, one or more second geographic coordinates via an interface configured to receive geographic coordinates from a ground transmission. The method includes determining, by the one or more processors, that the one or more first geographic coordinates and the one or more second geographic coordinates are inconsistent. The method includes updating, by the one or more processors, a flight plan using the one or more second geographic coordinates when the one or more first geographic coordinates are inconsistent with the one or more second geographic coordinates.

The present disclosure provides a control system for controlling unmanned autonomous systems (UAS). The control system comprises of an application user system 102 to operate the UAS, an operating system 103, a virtual road system (VRS) 109 and a virtual packet 501. The virtual packet 501 created as a boundary around the UAS defined by application user system 102 or VRS 109. The operating system 103 includes a machine learning processing unit (MLPU) 104 configured for positioning the UAS, detecting collision within path of the virtual packet 901. The VRS 109 configured to generate a virtual roadway 902 using architecture for routing the UAS. The routing and controlling of UAS by the VRS 109 is based on request received from the MLPU 104, application zone packet parameters and actual position co-ordinates received from the MLPU 104.

A system and a method include a control unit configured to compare first QNH data received from a first QNH data source, second QNH data received from a second QNH data source that differs from the first QNH data source, and a QNH input entered into an avionics system of an aircraft. The control unit is further configured to output an alert signal in response to the QNH input differing from one or both of the first QNH data or the second QNH data.

A method includes converting audio to text, converting the text to a taxi path, and using a look-up table (LUT) to check for obstructions in the taxi path. The method includes issuing a warning if there are one or more obstructions in the taxi path based on the LUT or else refraining from issuing a warning if there are not one or more obstructions in the taxi path based on the LUT. Converting audio to text can include using a machine learning model. Before converting the audio to text, the method can include checking communications between a pilot and air traffic control (ATC) for keywords relevant to taxiing. Converting audio to text can be performed upon detecting the keywords in the audio. The audio can include words spoken by ATC to the pilot and/or words spoken by the pilot to ATC.

A method of detecting conflicts between aircraft passing through managed airspace, and resolving the detected conflicts strategically. The method may include obtaining intended trajectories of aircraft through the airspace, detecting conflicts in the intended trajectories, forming a set of the conflicted aircraft, calculating one or more revised trajectories for the conflicted aircraft such that the conflicts are resolved, and advising the conflicted aircraft subject to revised trajectories of the revised trajectories.

This disclosure is directed to an automated unmanned aerial vehicle (UAV) self-identification system, devices, and techniques pertaining to the automated identification of individual UAVs operating within an airspace via a mesh communication network, individual UAVs and a central authority representing nodes of the mesh network. The system may detect nearby UAVs present within a UAV's airspace. Nearby UAVs may self-identify or be identified via correlation with one or more features detected by the UAV. The UAV may validate identifying information using a dynamic validation policy. Data collected by the UAV may be stored in a local mesh database and distributed to individual nodes of the mesh network and merged into a common central mesh database for distribution to individual nodes of the mesh network. UAVs on the mesh network utilize local and central mesh database information for self-identification and to maintain a dynamic flight plan.

A system for determining a flight plan based on internet connectivity includes at least one processor coupled with a non-transitory processor-readable medium storing processor-executable code for causing the at least one processor to receive internet connectivity data for a plurality of airspace regions, where the internet connectivity data is indicative of an internet connectivity characteristic; and determine a flight plan for an aircraft through at least one region of the plurality of airspace regions based on the internet connectivity characteristic.

Methods, devices, and systems of various embodiments are disclosed for managing an unmanned aerial vehicle (UAV) charging station having a docking terminal. In various embodiments, a priority of a first UAV and a second UAV may be determined for using the docking terminal when a docking request is received from the second UAV while the first UAV occupies the docking terminal. In some embodiments, the priorities of the first and second UAVs may be based on an available power level of each of the first and second UAVs. The first UAV may be instructed to undock from the docking terminal in response to determining that the second UAV has a higher priority.