Described are systems and methods that utilize nodes distributed at different geographic locations to detect and track the approximate position, trajectory, and/or predicted path of aerial vehicles operating below a defined altitude (e.g., 500 feet). As nodes detect an aerial vehicle, the node determines a bearing toward the aerial vehicle and provides the bearing to an air-traffic system. The air-traffic system processes bearings received from each node and determines one or more of an approximate position, trajectory, and/or predicted path of the detected aerial vehicle. The approximate position, trajectory, and/or predicted path may be provided to one or more subscribing clients and/or used to alter paths of one or more aerial vehicles.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

A device includes a processor. The processor is configured to execute instructions to: receive a request from an application to subscribe to a telemetry messaging service; grant a subscription to the telemetry messaging service, to the application based on the request; receive telemetry messages from drones over a radio access network (RAN); process the telemetry messages; and provide the processed telemetry messages to the application over the RAN.

Systems and methods for converting voice to text messages in an aircraft. The systems and methods transcribe voice messages between a member of the flight crew and Air Traffic Control (ATC) to provide ATC text messages, transcribe a voice-automatic terminal information service report (voice-ATIS) to provide an ATIS text report, determine flight context data based at least on an analysis of the ATC text messages, determine relevant ATIS data from the ATIS text report using the flight context data, and render a visual User Interface (UI) including at least some of the ATC text messages and at least some of the relevant ATIS data on the same ATC transcription page.

A flight management system for unmanned aerial vehicles (UAVS), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV caches on-board a 4G modem, an antenna connected to the modern for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G Infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

A method of displaying an electronic report on a GUI that includes receiving a user identifier and an authentication identifier associated with a user gaining access to a first application; displaying, on the GUI, a first window associated with the first application; displaying, via the first window, a listing of monitored flights; receiving, via the first window, a request; accessing, using the first application, a second application and a third application that are different from each other and the first application; updating the displayed listing of monitored flights using information accessed from the second and third applications; wherein a flight has a delay greater than two hours; and receiving, via the first window, a request for the electronic report for the flight; displaying, on the GUI and via a second window, the electronic report for the flight that includes information from each of the second and third applications.

A vertiport system dynamically updates configuration of a vertiport based on predicted usage of the vertiport during a given time frame. The vertiport system predicts vertiport usage using flight data and estimated passenger demands and determines a desired number of parking pads and a desired number of final approach and takeoff (FATO) pads for the vertiport during the time frame. Based on the desired number of parking pads and the desired number of FATO pads for the vertiport, the vertiport system determines an updated configuration of the vertiport. According to the updated configuration, the vertiport system updates the configuration of the vertiport for at least a portion of the time frame.

Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.

A method of performing deconfliction comprises receiving a request to accept a first operational intent associated with a first unmanned aircraft system, determining whether a conflict exists between the first operational intent and one or more scheduled operational intents, and if a conflict exists between the first operational intent and a second operational intent associated with a second unmanned aircraft system, transmitting data associated with the conflict to a first operator of the first unmanned aircraft system and a second operator of the second unmanned aircraft system, and transmitting information to the first and second operator allowing them to negotiate a resolution of the conflict. If a conflict does not exist, the first operational intent may be accepted. Bids may also be received for a right to utilize a volume of airspace at a particular time and the right may be granted to a highest bidder.

Disclosed herein are embodiments for providing a trusted autonomy framework for unmanned aerial systems. One embodiment of a method includes receiving a request from an entity to participate in secure data sharing within the trusted autonomy framework for unmanned aerial systems, receiving a type of data that will be shared via the entity, and verifying an identity of the entity, a security infrastructure of the entity, and validating the data to be shared. In some embodiments, in response to verifying, accepting the entity into the trusted autonomy framework for unmanned aerial systems.