Systems and methods for detection and display of marine objects for an aircraft. One example system includes a transceiver configured to communicate with an Automatic Identification System (AIS) server and an electronic controller located within an aircraft. The electronic controller is configured to provide on a display an interface comprising a map representing a travel area. The electronic controller is configured to provide, on the map, a first graphical representation of the aircraft within the travel area. The electronic controller is configured to receive, via the transceiver, marine object data from the AIS server. The electronic controller is configured to periodically update, on the map, a second graphical representation of a first marine object within the travel area based on the marine object data.

A flight deck system for providing task management assistance in managing the flight path to the flight crew is provided. The system is configured to: mine flight plan data for a current flight plan, navigational data, and vertical situation display (VSD) data; obtain notification data items originating from onboard avionics systems and systems external to the aircraft that indicate upcoming conditions that will affect the current flight plan; automatically analyze the mined flight plan data and the notification data items to identify a sensed deviation condition; automatically identify an aircraft-related deviation condition from an aircraft failure event; receive flight crew notification of a non-sensed deviation condition; automatically generate a plurality of flight plan deviation options to accommodate a sensed deviation condition, an aircraft-related deviation condition, or a non-sensed deviation condition; and present graphical elements representative of the flight plan deviation options to the flight crew on an integrated interactive graphical user interface.

A method of operating an aircraft interface device may comprise receiving a request for a data dictionary from an electronic flight bag application and transmitting the data dictionary to the electronic flight bag application. The data dictionary may comprise a mapping between a plurality of parameters associated with an aircraft and a plurality of parameter identifiers. Values of the parameters may be retrieved by the aircraft interface device. The method may also include receiving a request for values of one or more of the parameters from the electronic flight bag, retrieving values of the parameters, and transmitting the values of the parameters to the electronic flight bag application.

Disclosed are methods, systems, and one or more computer-readable mediums for providing, by an integrated flight deck (IFD) networked computing system, data acquisition for generating a plurality of inflight operation insights, the IFD networked computing system comprising: a presentation platform, a plurality of framework components, a software development kit (SDK) framework, and one or more user interface libraries configured to develop a plurality of applications from the presentation platform and add one or more additional SDKs and/or libraries to the presentation platform; aggregating, by an orchestrator of the SDK framework, a plurality of data sources to fuse data from the plurality of data sources and create a data packet comprising real-time flight data; generating, the plurality of inflight operation insights by analyzing a plurality of key performance indicators of the created data packet; and assessing a flight parameter based on the generated inflight operation insights.

Methods and systems for optimizing the flight of an aircraft are disclosed. The trajectory is divided into segments, each of the segments being governed by distinct sets of equations, depending on engine thrust mode and on vertical guidance (climb, cruise or descent). By assuming two, aerodynamic and engine-speed, models, data from flight recordings are received and a number of parameters from a parameter-optimization engine is iteratively determined by applying a least-squares calculation until a predefined minimality criterion is satisfied. The parameter optimization engine is next used to predict the trajectory point following a given point. Software aspects and system (e.g. FMS and/or EFB) aspects are described.

A monitoring system and method are provided for real time monitoring of flaps, landing gears, or tail skids to determine safe taxi, takeoff, and flight readiness. Monitoring units, including scanning LiDAR devices combined with cameras or sensors, mounted in aircraft exterior locations produce a stream of meshed data that is securely transmitted to a processing system to generate a real time visual display of the flaps, landing gears, or tail skid for communication to aircraft pilots to ensure safe aircraft taxi, takeoff, and flight readiness. Actual flap position alignment with optimal flap setting, proper retraction and extension positions of landing gears, and tail skid condition is ensured. Safety of aircraft taxi, takeoff and flight and airport operations are improved when the present system and method are used to prevent incidents related to misaligned flaps and improperly positioned landing gears or tail skids.

The present disclosure provides computer vision systems and methods for an aircraft. The computer vision systems and methods identify a runway based on video frame data from a camera mounted to the aircraft, extract runway pixel positions associated with the runway, determine the aircraft position in a real world coordinate frame based on the pixel positions, the aircraft position including an aircraft lateral position and an aircraft elevation, receive predefined aircraft position data and go-around rules for a compliant approach to the runway, calculate an aircraft position deviation based on the aircraft position and the predefined aircraft position data, determine whether the aircraft position deviation is in conformance with the go-around rules, and output an indication of conformity with the go-around rules.

An emergency vision apparatus comprises an inflatable enclosure to enable a user to see through the enclosure when expanded and observe a source of information at a distal end of the enclosure while smoke or other particulate matter is in the environment. The enclosure includes an opening configured for insertion of a user's hand into the interior of the enclosure to allow the user to operate a touch sensitive screen or hardware visible through the second clear member disposed toward a user and a sealable closure for closing the opening and sealing the opening around the user's hand. The sealable closure includes flexible first and second sheets covering the opening, the first and second sheets including respective first and second slits disposed transversely to each other, the first and second slits being configured to allow insertion of the user's hand into the interior of the enclosure.

A method for providing task management assistance in managing the flight path to the flight crew is provided. The method comprises: mining flight plan data and navigational data from an aircraft system; obtaining notification data items originating from systems external to the aircraft; determining an estimated flight time to reach each of the plurality of waypoints, course data items, and the upcoming conditions; causing a timeline graphical user interface (GUI) to be displayed on an aircraft display, wherein the timeline GUI is configured to display a timeline, waypoint graphical elements representative of the waypoints, course data item graphical elements representative of the other course data items, and notification data item graphical elements representative of the upcoming conditions; automatically analyzing the mined flight plan data and the notification data items to determine if deviation from the flight plan is suggested; and providing a notification of the suggested deviation from when deviation is suggested.

An automatic, autonomous predictive aircraft surface state event track (ASSET) system, includes a mobile device onboard an aircraft and a remote service in communication with the mobile device. The mobile device includes a processor, and an application that in turn includes machine instructions encoded on a non-transitory computer-readable storage medium. The processor executes the machine instructions to receive sensor data from aircraft onboard sensors, the sensor data indicating an operational state of the aircraft; and transmit the sensor data. The remote service receives the sensor data and includes a remote processor that executes machine instructions to compute an operational state of the aircraft; identify an aircraft event associated the aircraft; and using the aircraft operational data, the sensor data, and the event, predict that the aircraft will meet a next scheduled aircraft event within a specified time window.