Abstract: An aspect includes a method of kinematic motion planning includes accessing a list of a plurality of nodes defining a plurality of potential kinematic path locations between a starting position and an ending position of a vehicle. A plurality of constraint sets is determined that apply one or more vehicle motion constraints based on a plurality of spatial regions defined between the starting position and the ending position. The constraint sets are applied in determining a plurality of connections between the nodes to form a kinematic motion path based on locations of the nodes relative to the spatial regions. The kinematic motion path is output to a dynamic path planner to complete creation of a motion path plan for the vehicle.

Abstract: A system and method for determining the distance between at least one point on a vehicle and at least one projected area off of the vehicle includes receiving, with a processor, sensor signals indicative of LIDAR data for the projected area off the vehicle; applying, with the processor, a linear estimation algorithm to filter out noise within the LIDAR data and define a surface plane for the projected area; evaluating, with the processor, the LIDAR data against a vehicle state model; determining, with the processor, the distance between the at least one point on the vehicle and the at least one projected area off the vehicle; and commanding a response in the vehicle controls.

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: A system for receiving feedback in a flight plan of a vehicle includes a haptic-enabled device comprising a crew seat with an inceptor mounted thereto; and a processor with memory having instructions stored thereon that, when executed by the processor, cause the system to: receive signals indicative of the flight plan for the vehicle; receive deviation signals indicative of a proposed deviation in a trajectory for the flight plan; and transmit signals to the haptic-enabled device representing trajectory constraints in the proposed deviation in response to the receiving of the deviation signals.

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 system for a tail-sitter aircraft includes a fuselage having one or more propellers, a wing structure coupled to the fuselage, and a drag rudder assembly coupled to the wing structure, the drag rudder assembly including a first planar member that is coupled to a second planar member. The drag rudder assembly is configured to produce a stabilizing force on the wing structure during higher speeds of the aircraft in tandem rotor flight.

Abstract: A system and method for controlling flight of an aircraft having a propeller, memory and a processor includes receiving one or more signals indicative of a flight plan comprising a plurality of waypoints; determining information indicative of a trajectory between the plurality of waypoints; determining information indicative of vehicle attitude commands; determining information indicative of flight control command signals; and determining an error between sensed vehicle states and the vehicle attitude commands.

Abstract: A system and method for controlling a trajectory of a vehicle includes a crew seat with first and second inceptors mounted to a portion of the crew seat; a processor with memory having instructions stored thereon that cause the system to: receive signals indicative of a trajectory for the vehicle; receive signals indicative of a deviation in a trajectory of the vehicle; and transmit signals for controlling a flight path of the vehicle. A second inceptor is configured for selecting one or more menus on a user display and being configured to interact with a fly-by-wire control system for transmitting signals indicative of movement of flight surface of the vehicle. The crew seat is configured to be located on the vehicle, in a control station remotely located from the vehicle, or in a second vehicle remotely located from the vehicle.

Abstract: A method of trajectory control for a vehicle includes obtaining an initial trajectory; presenting the initial trajectory as a current trajectory on an I/O device, the current trajectory presented overlaying terrain; initiating travel of the vehicle along the current trajectory; updating the current trajectory and the terrain in real time as the vehicle travels along the current trajectory; determining if change in the current trajectory is required; changing the current trajectory to an altered trajectory in response to determining change in the current trajectory is required; and presenting the altered trajectory on the I/O device, the altered trajectory presented overlaying the terrain.

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: 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: A system for centralizing computing operations for an aircraft, including a plurality of aircraft subsystems associated with the aircraft, a plurality of aircraft sensors associated with the aircraft, and a centralized processor to process the computing operations requested by each of the plurality of aircraft subsystems.

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: 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 system for receiving feedback in a flight plan of a vehicle includes a haptic-enabled device comprising a crew seat with an inceptor mounted thereto; and a processor with memory having instructions stored thereon that, when executed by the processor, cause the system to: receive signals indicative of the flight plan for the vehicle; receive deviation signals indicative of a proposed deviation in a trajectory for the flight plan; and transmit signals to the haptic-enabled device representing trajectory constraints in the proposed deviation in response to the receiving of the deviation signals.

Abstract: A system for registering a target includes a first sensor, a second sensor, and a processor. The first sensor measures a plurality of ranges from a source to a target, and the second sensor obtains a plurality of location measurements of the source. The system further includes a processor configured for determining one or more weighting criteria associated with each one of the plurality of location measurements based on an estimated reliability of each one of the plurality of location measurements. The processor calculates a plurality of target location values based on the plurality of ranges measured by the first sensor and the plurality of locations measured by the second sensor and calculates an estimated target location value based on the plurality of target location values weighted according to the weighting criteria.

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 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 state estimation of a surface of a platform at sea, includes receiving sensor signals indicative of LIDAR data for the platform; applying a Bayesian filter to the LIDAR data for a plurality of hypotheses; determining vertical planes representing azimuth and elevation angles for the LIDAR data; applying a robust linear estimation algorithm to the vertical planes; and determining candidate points in response to the applying of the robust linear estimation algorithm.

Abstract: A method of retrofitting a mechanically controlled aircraft with a fly-by-wire system includes removing a mechanical links between mechanical pilot inputs and actuators operable to drive flight surfaces. Electromechanical actuators are coupled between a plurality of vehicle management computers and the actuators. Each of the electromechanical actuators is operable to receive commands from the vehicle management computers and output a mechanical force to an input linkage of one of the actuators. Electromechanical pilot input modules are coupled to the mechanical pilot inputs. Each of the electromechanical pilot input modules is operable to convert a pilot-driven input force of an instance of the mechanical pilot inputs into an electronic signal indicative of the pilot-driven input force. At least one high performance computer is coupled to at least one of the vehicle management computers.