Systems and methods for presenting a qualitative risk assessment for an aircraft to perform a flight procedure. Methods include determining: a pilot support value that is representative of a human-machine interface (HMI) onboard the aircraft; a crew factors value representative of a number of pilots and respective experience; an equipment state value of the aircraft, representing available and functioning avionic systems; a type of procedure for the flight procedure; a remaining trip length; an airport facilities state value; an Airport facilities state value; a physical environment value; and, an environmental state value. The method calculates the qualitative risk assessment, as a function of the determined values/factors and presents the qualitative risk assessment in a predefined area on an avionic display in the aircraft.

A method for planning a vehicle trajectory is provided. The method comprises obtaining an edge map representation corresponding to one or more terrain images of a given area, and identifying a total number of edge pixels in each of a plurality of sub-regions of the edge map representation. The method further comprises determining a measurement probability density function (PDF) for each of the sub-regions based on the number of edge pixels with information content in each sub-region. The method then computes a trajectory cost for each of the sub-regions by dividing a user-selected scalar by a sum of: a user-selected value and the number of edge pixels with information content in each sub-region. Thereafter, the method selects a trajectory for navigation of a vehicle over the given area based on the trajectory cost for each of the sub-regions.

Systems and methods for controlling a coaxial rotary-wing aircraft including a co-axial main rotor assembly and a pusher-propeller. One system includes an electronic controller configured to receive a reference velocity of the aircraft and receive a reference flight path angle of the aircraft. The electronic controller is also configured to simultaneously control the co-axial main rotor assembly and the pusher-propeller based on the reference velocity of the aircraft and the reference flight path angle of the aircraft, by simultaneously generating a commanded thrust of the pusher-propeller and a commanded thrust of the co-axial main rotor assembly using a multiple input, multiple output algorithm applying dynamic inversion.

Methods, apparatus, systems and articles of manufacture are disclosed for collaborative aircraft checklists. An example apparatus includes at least one memory including instructions and at least one processor to execute the instructions to at least launch actions of a checklist on a user interface of a first client device, the actions including a first action to be completed in sequence to execute a flight stage of a flight project, the flight project to be accessed by the first, second, and third client devices, in response to an update of the first action by the first client device, generate a first message including the update, in response to the second client device validating the update, distribute a second message including the update to the third client device to update the checklist on the third client device, and cause the aircraft to execute the flight stage based on the update.

Human-machine interface for required time of arrival (RTA) constraint negotiation. Embodiments present critical RTA information and results of associated data calculations to the pilot in a concise and informative manner using a dialogue box with intuitive graphical displays. Embodiments present critical RTA information to assist a pilot in negotiating the RTA constraint with air traffic controllers, accepting the clearance, and having confidence in the system that it will achieve the defined RTA constraint.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, at each of multiple time steps, sensor data captured by an onboard sensor of a drone at the time step, providing an input including the sensor data to a drone control neural network having a brain emulation sub-network with an architecture that is specified by synaptic connectivity between neurons in a brain of a biological organism, including instantiating a respective artificial neuron in the brain emulation sub-network corresponding to each of multiple biological neurons in the brain of the biological organism, and instantiating a respective connection between each pair of artificial neurons, processing the input using the drone control neural network to generate an action selection output, and selecting an action to be performed to control the drone at the time step based on the action selection output.

A system for selection of physical asset transfer paths using mixed-payload aeronautic excursions includes a client-interface module operating on at least a server, the client-interface module, configured to receive an initial location, a terminal location, and a description of at least an element of non-sapient payload, a path-selection module operating on the at least a server configured to identify at least an aeronautic path from the initial location to the terminal location and a plurality of aeronautic excursions traversing the at least an aeronautic path and select an aeronautic excursion of the plurality of aeronautic excursions based on a plurality of excess non-sapient payload storage estimations corresponding the plurality of aeronautic excursions, and a capacity estimation artificial intelligence module operating on the at least a server, the capacity estimation artificial intelligence module designed and configured to generate the plurality of excess non-sapient payload storage estimations.

A system for aircraft navigation is disclosed. The system comprises an aircraft traffic control (ATC) computing device configured to generate a navigation procedure including at least: a starting waypoint, an assigned vector, and four-dimensional (4D) trajectory information. A computing device on-board an aircraft is configured to: receive the navigation procedure via controller-pilot datalink communications (CPDLC), display the navigation procedure to a user of the aircraft, and responsive to the user of the aircraft selecting the navigation procedure, automatically control the aircraft based on the navigation procedure.

Combined taxi signage may be generated from taxi signage for a first origination node and taxi signage for a second origination node, the first origination node and the second origination node being of a select proximity and orientation relative to an aircraft. The taxi signage for the first origination node may be generated from the first origination node and at least a first termination node stored within an airport surface routing network data, and a first turning angle determined based on a comparison between the first origination node and the at least the first termination node. The taxi signage for the second origination node may be generated from the second origination node and at least a second termination node stored within the airport surface routing network data, and a second turning angle determined based on a comparison between the second origination node and the at least the second termination node. The combined taxi signage may be included in a combined billboard displayed on the display device of the aircraft.

Flight guidance systems and methods that provide an airport selection in response to an EO condition in a single engine plane. The airport selection takes into consideration factors such as optimal approach type, runway length, weather, terrain, remaining battery time, and the like. Additionally, various also generate and display a visual indication of a remaining glide range when the EO condition is happening; the remaining glide range determination is based, at least in part, on terrain.