Abstract:
Methods and systems are provided for assisting operation of a vehicle by automatically initiating activation of an automated functionality, such as autoland functionality of an aircraft, in the absence of user input within one or more monitoring periods. One method involves identifying a triggering event, identifying a monitoring period associated with the triggering event, monitoring one or more components for user input within the monitoring period associated with the triggering event, and automatically initiating activation of an automated functionality associated with the vehicle in the absence of user input within the monitoring period associated with the triggering event. In some implementations, the monitoring period adaptively and dynamically varies during operation.
Abstract:
Methods, systems and apparatuses are provided for speech recognition using a touch prediction model for a multi-modal system which include: pre-training the touch prediction model of the multi-model system to enable a prediction of probable commands of a subsequent user based on a trained model wherein the trained model is trained using a history of a set of touch actions by plurality of users; sending at least parameter data associated with a current page displayed to a particular user at an instance of interaction with the multi-model system by the particular user; receiving inputs from a group including: previous touch actions, system parameters and contextual parameters of the plurality of users; and using a set of options associated with the top n-most probable commands upon receipt of speech commands by the user by using a vocabulary associated with a reduced set of probable commands for recognition.
Abstract:
A system and method are provided for decluttering an aircraft display. Chart data, flight data and user input data are obtained. User input data reflects pilot preferences. A modified combination of chart data and flight data is generated in response to user input data. Symbology that is graphically representative of the modified combination is displayed.
Abstract:
A system and method of operating a correlative display system for a plurality of display systems on an aircraft includes receiving, by a processor, an identification of a feature from a user interface associated with a first display system of the plurality of display systems. The processor determines a location of the identified feature relative to data displayed on each other display system of the plurality of display systems, wherein the identified feature is not previously displayed on at least one of the other display systems of the plurality of display systems. The processor generates instructions to highlight the identified feature on each other display system of the plurality of display systems at the determine location relative to data displayed on each other display system.
Abstract:
A method for creating and using a contextual Artificial Intelligence (AI) model to analyze flight data for one or more aircraft, by a central computer system, is provided. The method obtains a set of aggregate contextual data comprising at least aircraft and flight-specific data, airport and air traffic control (ATC) data, weather data, and human factor data associated with flight crew members of the one or more aircraft; creates the contextual AI model using the set of aggregate contextual data, by the at least one processor; applies the contextual AI model to a set of flight data, to perform a statistical analysis; generates a set of results based on the statistical analysis, by the at least one processor, wherein the set of results comprises at least one of probable causes of aircraft performance events and probable aircraft performance events resulting from current conditions; and presents the set of results.
Abstract:
Methods and system are provided for managing speech processing in an environment having at least two speech enabled systems. In one embodiment, a method includes: recording first user data that indicates an action of a user; determining, by a processor, a selection of a first speech enabled system based on the recorded user data; and generating, by the processor, a signal to at least one of activate and deactivate speech processing based on the first speech enabled system.
Abstract:
A system and method are provided for decluttering an aircraft display. Chart data, flight data and user input data are obtained. User input data reflects pilot preferences. A modified combination of chart data and flight data is generated in response to user input data. Symbology that is graphically representative of the modified combination is displayed.
Abstract:
Methods and systems are provided for assisting operation of a vehicle by automatically initiating activation of an automated functionality, such as autoland functionality of an aircraft, in the absence of user input within one or more monitoring periods. One method involves identifying a triggering event, identifying a monitoring period associated with the triggering event, monitoring one or more components for user input within the monitoring period associated with the triggering event, and automatically initiating activation of an automated functionality associated with the vehicle in the absence of user input within the monitoring period associated with the triggering event. In some implementations, the monitoring period adaptively and dynamically varies during operation.
Abstract:
Methods and systems are provided for assisting operation of a vehicle by automatically initiating activation of an automated functionality, such as autoland functionality of an aircraft, in the absence of user input within one or more monitoring periods. One method involves identifying a triggering event, identifying a monitoring period associated with the triggering event, monitoring one or more components for user input within the monitoring period associated with the triggering event, and automatically initiating activation of an automated functionality associated with the vehicle in the absence of user input within the monitoring period associated with the triggering event. In some implementations, the monitoring period adaptively and dynamically varies during operation.
Abstract:
Methods and systems are provided for calculating and displaying flight safety analytics for an aircraft. The method comprises first receiving historical flight data for the aircraft from a flight data quick access recorder (QAR) located onboard the aircraft. The flight data is then processed to identify safety events and store the identified safety events in an events database. The contents of the events database are analyzed to determine statistical data regarding the identified safety events. An onboard predictive model is applied that utilizes the statistical data to predict the likelihood of a safety event based on current flight data received from the aircraft. The predicted likelihood of a safety event is displayed on a flight display of the aircraft.