Abstract: According to an aspect, an apparatus is provided. A computing system is provided. A user interface is configured to receive an input from a user related to one or more changes to flight path and transmit the input to an autonomous flight system. The input to the autonomous flight system does not cause the autonomous flight system to disengage.

Abstract: A device and method for flying an aircraft is disclosed. A housing that is removably installable in a cockpit of the aircraft is installed in the cockpit. The housing includes a processor. The processor receives a flight measurement from the aircraft, determines a flight control parameter for flying the aircraft from the flight measurement, and operates a flight control device of the aircraft to implement the flight control parameter to fly the aircraft.

Abstract: According to an aspect of the invention, a method of flight initiation proximity warning for an autonomous vehicle is provided. A flight initiation request is detected at a processing system of the autonomous vehicle. A preflight proximity scan is performed for any obstacles within a predetermined distance from the autonomous vehicle based on the flight initiation request. An alert is sent to a control station based on detecting at least one obstacle within the predetermined distance. Flight initiation of the autonomous vehicle is inhibited until an acknowledgement of the alert is received at the processing system of the autonomous vehicle.

Abstract: An example computer-implemented method for natural language mission planning includes: responsive to receiving a request to initiate mission planning for a selected mission type from a plurality of mission types, constructing, by a processing system, a mission narrative that describes a mission intent based on the selected mission type, the mission narrative comprising a plurality of fields; populating, by the processing system, the plurality of fields in the mission narrative from an autonomous mission manager based on the selected mission type with options to be selected by a mission planner; responsive to presenting the populated plurality of fields to the mission planner, filling, by the processing system, the mission narrative with the received selected options; creating, by the processing system, an optimized mission plan based on the mission narrative; and controlling, by the processing system, a vehicle based on the optimized mission plan.

Abstract: According to an aspect, an apparatus is provided. A computing system is provided. An adaptable user interface is configured to be fixable to an aircraft, and the adaptable user interface is coupled to the computing system to replicate at least a portion of controls of the aircraft. The adaptable user interface is configured with adjustable positional arrangements. The adjustable positional arrangements include a first position associated with replicating a first functionality of the aircraft controls and a second position associated with replicating a second functionality of the aircraft controls.

Abstract: A method for augmenting a synthetic vision system of a vehicle includes receiving, with a processor, signals indicative of real-time sensor data of a terrain for the vehicle via one or more acquisition devices; creating, with the processor, a terrain mesh of the terrain in response to the receiving of the sensor data; correlating, with the processor, the terrain mesh with preloaded terrain data of the terrain; creating, with the processor, a multispectral image of the terrain in response to the correlating the terrain mesh with the preloaded data; and texturing, with the processor, the terrain mesh for display on a display device.

Abstract: A landing assembly and method of landing an aircraft. The landing assembly includes a landing gear, a charging circuit, a sampling circuit and a processor. The charging circuit applies a charge to the landing gear and the sampling circuit measures a discharge rate of the electrical charge from the landing gear. The processor determines a contact between the landing gear and a surface from the discharge rate.

Abstract: An electronic landing platform state module is configured to generate a state estimation of a platform surface at sea includes a plurality of electronic platform state process modules configured to receive an output from a respective spectral sensor. The plurality of electronic platform state process modules are further configured to output a monitored spectral platform state signal in response to applying a spectral process on a respective output. Each spectral process corresponds to a particular spectral modality of the respective spectral sensor. The electronic landing platform state module further includes an electronic platform state estimator module configured to determine a corrected dynamic state of the platform in response to fusing together the individual monitored spectral platform state signals.

Abstract: A processing system for displaying tasks on a map based on context of the tasks includes a mission decomposition module to decompose a mission into a plurality of tasks; a flight planning module to generate a flight plan. The processing system further includes a display to display the task interface to at least one user. The task interface includes the flight plan overlaid on a map and an indicium associated with at least one of the plurality of tasks. The indicium is positioned along the flight plan based at least in part on when the at least one of the plurality of tasks is to be performed. The processing system further includes a flight control system to execute the at least one of the plurality of tasks.

Abstract: According to one aspect, a method of initial rotor state compensation for a rotorcraft includes determining a vehicle attitude of the rotorcraft prior to takeoff of the rotorcraft. A rotor state compensation is computed based on the vehicle attitude. A plurality of rotor servos is commanded to an initial rotor state based on a nominal rotor neutral position value in combination with the rotor state compensation to establish a predetermined takeoff trajectory of the rotorcraft.

Abstract: A method for path planning for a plurality of vehicles in a mission space includes determining, with a processor, information indicative of a first local graph of a first vehicle; receiving, with the processor over a communication link, information indicative of a second local graph from a second vehicle; assembling, with the processor, information indicative of a global graph in response to the receiving of the second local graph; wherein the global graph includes information assembled from the first local graph and the second local graph; and wherein the global graph indicates connectivity of objectives for each vehicle of the plurality of vehicles in the mission space.

Abstract: A system and method for determining weight on wheels for an aircraft with at least one landing gear; a sensor associated with machinery Light Detection And Ranging scanner; a processor; and memory having instructions stored thereon that, when executed by the processor, cause the system to receive signals indicative of LIDAR image information for a landing gear; evaluate the LIDAR image information against a landing gear model; determine information indicative that the landing gear is locked in response to the evaluating of the LIDAR image information; and determine information indicative that the landing gear is compressed in response to the evaluating of the LIDAR image information against the landing gear model.

Abstract: A system and method for identifying a slung load for an aircraft with one or more sensors includes receiving, with a processor via one or more sensors, sensor information related to flight dynamics data for the aircraft; determining, with the processor, control input commands for the aircraft in response to the receiving of the flight dynamics data; determining, with the processor, signals indicative of an estimated pendulum frequency; and determining, with the processor, parameters associated with the slung load in response to the determining of the estimated pendulum frequencies.

Abstract: A method of performing a cooperative safe landing area determination includes receiving perception sensor data indicative of conditions at a plurality of potential landing areas. A processing subsystem of a vehicle updates a local safe landing area map based on the perception sensor data. The local safe landing area map defines safe landing area classifications and classification confidences associated with the potential landing areas. One or more remotely-generated safe landing area maps are received from one or more remote data sources. The one or more remotely-generated safe landing area maps correspond to one or more additional potential landing areas and non-landing areas. The local safe landing area map and the remotely-generated safe landing area maps are aggregated to form a fused safe landing area map. The fused safe landing area map is used to make a final safe landing area determination.

Abstract: An electric motor includes a rotor assembly including a component rotatable about an axis and a stator assembly including a plurality of poles positioned adjacent the rotor assembly. Each of the plurality of poles is independently controllable to provide torque and speed control to the electric motor.

Abstract: According to an aspect of the invention, a method of trajectory-based sensor planning for a vehicle includes receiving an indication of a planned change in a trajectory of the vehicle. A processing subsystem determines a current field of view of a directional sensor and a planned adjustment in the current field of view of the directional sensor relative to the vehicle to align with the planned change in the trajectory of the vehicle. The planned adjustment in the current field of view of the directional sensor is initiated prior to changing the trajectory of the vehicle.

Abstract: A system and method for flying an aircraft is disclosed. The system includes one or more flight-assist agents for performing an operation related to flying the aircraft and a vehicle autonomy management system. The vehicle autonomy management system allocates tasks of a task workload involved in the operation between a flight crew and the one or more flight-assist agents, monitors a performance of the flight crew in executing a portion of the task workload allocated to the flight crew, and adjusts an allocation of the task workload between the flight crew and the one or more flight-assist agents based on the performance of the flight crew.

Abstract: According to an aspect of the invention, a method of optimal safe landing area determination for an aircraft includes accessing a probabilistic safe landing area map that includes a plurality of probabilistic indicators of safe landing areas for the aircraft. A processing subsystem that includes one or more processing resources generates a list of candidate safe landing areas based on the probabilistic safe landing area map and one or more constraints. At least two of the candidate safe landing areas are provided to a path planner. The list of candidate safe landing areas is ranked based on results from the path planner indicating an estimated cost to reach each of the candidate safe landing areas. Based on the ranking, an indicator of an optimal safe landing area is output as a desired landing location for the aircraft.

Abstract: An online sensor calibration verification system includes at least one sensor configured to extract a calibration feature included in a field of view of the sensor. The online sensor calibration verification system further includes an electronic calibration verification module configured to determine a static reference feature model, and to verify a calibration of the at least one sensor based on a positional relationship between an extracted calibration feature and the static reference feature model.

Abstract: A device and method for flying an aircraft is disclosed. According to one example, the device includes a vehicle management computer configured to position a plurality of control surfaces of the aircraft to control the aircraft. The device further includes a high performance computer being configured to execute one or more high level intelligence algorithms to selectively operate the aircraft autonomously in an autonomous mode. The device further includes an actuator coupled to a piloting input, wherein the piloting input controls an aspect of the aircraft. The device further includes an actuation control unit to actuate the actuator coupled to the piloting input to move the piloting input from a first position to a second position.