Disclosed are methods and systems for identifying and addressing passenger issues in an aircraft. For instance, the method may include receiving sensor data corresponding to one or more sensors associated with a passenger compartment of the aircraft, analyzing the received sensor data to determine a condition of the passenger compartment of the aircraft, identifying one or more passenger issues occurring in the aircraft, and determining one or more response options to address the one or more passenger issues, based at least in part on the one or more passenger issues and an operational parameter of the aircraft. The method may further include communicating, the one or more passenger issues and the one or more response options to a passenger user interface or a ground control station and modifying an operation of the aircraft in accordance with one or more of the one or more response options.

A system and method for implementing an autonomous distress tracking (ADT) triggering function is provided. The method comprises receiving a configuration file containing a plurality of user configurable parameters from a ground-based system, configuring an aircraft condition and monitoring function (ACMF) engine to apply trigger logic specified by the plurality of user configurable parameters to aircraft sensor and/or system data and monitoring for a plurality of distress conditions specified by the plurality of user configurable parameters; executing the configured ACMF engine to detect the occurrence of a distress condition; automatically generating a data message when a distress condition occurrence has been detected wherein the data message can include aircraft position data specified in the user configurable parameters, the aircraft sensor and/or system data on which the detection of the one or more trigger conditions was based, and the identity of the detected distress condition; and automatically sending the data message to a transmission system onboard the aircraft that is configured to transmit a search and rescue signal.

The present invention discloses a receiver and transmitter of enroute aircraft data (RATEAD) system and method of tracking missing aircraft by the system. The system comprising: a plurality of network enabled devices at a plurality of locations; and said plurality of network enabled devices are communicatively coupled to an aircraft passing within a pre-defined range, wherein a data of said in range aircraft is communicatively transmitted in real-time to a network device of said plurality of network enabled devices with which said aircraft is connected.

Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.

A system and method for autonomous distress tracking of an aircraft. An automatic dependent surveillance-broadcast transceiver is configured to transmit an automatic distress transmission. A system controller comprises a distress identifier that is configured to determine when the aircraft is in a distress condition. The system controller is configured to control the automatic dependent surveillance-broadcast transceiver to transmit the automatic distress transmission in response to a determination that the aircraft is in the distress condition. The automatic dependent surveillance-broadcast transceiver and the system controller are contained within a housing attached to the aircraft on an outside of the aircraft.

An air hazard alerting method includes acquiring information on one or more events within an airspace, analyzing the information to identify one or more air hazards within the airspace, generating an alert identifying the one or more air hazards, and sending the alert to at least one aircraft within the airspace. The information can be analyzed using one or more machine learning models.

The present disclosure provides systems and methods for guiding a vertical takeoff and landing, VTOL, vehicle to an emergency landing zone. The systems and methods include determining, via at least one processor, candidate landing zone data by interrogating an emergency landing zone database based at least on VTOL vehicle location, the candidate landing zone data representing a list of candidate emergency landing zones. A target emergency landing zone is selected from the list of candidate emergency landing zones based at least on VTOL vehicle related issues including at least one of unanticipated yaw issues, ground effect issues and modified trend vector issues, thereby providing target emergency landing zone data. Guidance for the VTOL vehicle is determined based on the target emergency landing zone data.

Systems and methods for lag optimization of pilot intervention is provided. A critical event may be identified while an electric aircraft is in an autopilot mode and operating primarily under autonomous functions; as a result, a flight controller of the system may switch from an autopilot mode to a manual mode, allowing pilot intervention. System made determine a lag duration as a function of the critical event and a phase of operation of the electric aircraft to determine a lag duration before pilot intervention occurs.

This application discloses a drone control method and device and a drone and pertains to the technical field of drone control. The method includes: monitoring a running status of each power motor in a drone; determining according to the running status of each power motor whether the drone is in a crashed state; and controlling the drone to alarm when determining that the drone is in the crashed state. The drone control method and device and the drone can rapidly locate a crashed drone, greatly increasing the probability of finding back the crashed drone.

Methods and systems are provided for runway overrun alerts for an aircraft using manually entered parameters for a non-standard runway. The method includes accessing an interface for an enhanced ground proximity warning system (EGPWS). The following parameters are then manually entered: identification of the non-standard runway; a displaced threshold of the non-standard runway; surface conditions of the non-standard runway; a declared length of the non-standard runway; and availability of thrust reversers on the aircraft. The parameters for the aircraft to safely land and stop on the non-standard runway are calculated with the EGPWS. An alert with the EGPWS is generated if the stopping point of the aircraft is near or beyond the end of the non-standard runway.