A computing system for landing and storing vertical take-off and landing (VTOL) aircraft can be configured to receive aircraft data, passenger data, or environment data associated with a VTOL aircraft and determine a landing pad location within a landing facility based on the aircraft data, passenger data, and/or environment data. The landing facility can include a lower level and an upper level. The lower level can include a lower landing area and a lower storage area. The upper level can include an upper landing area. At least a portion of the upper level can be arranged over the lower storage area. The landing pad location can include a location within the lower landing area or the upper landing area of the landing facility. The computing system can communicate the landing pad location to an operator or a navigation system of the VTOL aircraft.

A hierarchical modular arbitration architecture for a mobile platform guidance system is disclosed. In embodiments, the architecture comprises a hierarchy of arbitration layers, each arbitration layer narrower in scope than the layer above (e.g., mission objective arbitrators, route arbitrators, path arbitrators). Each arbitration layer includes one or more objective-based arbitrators in communication with one or more applications or modes. Each arbitrator receives control input (e.g., from the pilot, from aircraft sensors) and control signals from the level above, selecting a mode to make active based on decision agents within the arbitrator layer which control mode priorities and sequencing (e.g., some flight objectives may involve multiple arbitrators and their subject applications coordinating in sequence). Each arbitrator passes control signals associated with fulfilling the commands of the active mode to the level below and reports application and error information to the arbitrator level above and/or human/artificial pilot machine interfaces.

A hierarchical modular arbitration architecture for a mobile platform guidance system is disclosed. In embodiments, the architecture comprises a hierarchy of arbitration layers, each arbitration layer narrower in scope than the layer above (e.g., mission objective arbitrators, route arbitrators, path arbitrators). Each arbitration layer includes one or more objective-based arbitrators in communication with one or more applications or modes. Each arbitrator receives control input (e.g., from the pilot, from aircraft sensors) and control signals from the level above, selecting a mode to make active based on decision agents within the arbitrator layer which control mode priorities and sequencing (e.g., some flight objectives may involve multiple arbitrators and their subject applications coordinating in sequence). Each arbitrator passes control signals associated with fulfilling the commands of the active mode to the level below and reports application and error information to the arbitrator level above and/or human/artificial pilot machine interfaces.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test monitoring system sensors. In one aspect, the drone perform operations that include navigating from a first location of a property towards a second location of the property, detecting a sensor that is installed at the property, interrupting, by the drone, navigation through the property from the first location of the property towards the second location of the property to initiate a test of the detected sensor and (ii) determining a sensor test type for the detected sensor, administering a sensor test to the detected sensor, wherein the sensor test is based on the determined sensor test type, evaluating results of the administered test, storing data describing the results of the administered test, and continuing navigation through the property towards the second location of the property or towards another location of the property.

An architecture to provision one-stop parking, charging, storage, and/or maintenance facilities and/or functionalities for drone equipment. A method can comprise identifying a drone entering a defined airspace monitored by the network equipment; in response to establishing a communication channel with the drone, receiving data representing a physical dimension associated with the drone; based on the physical dimension associated with the drone, allocating a space within a defined area to which the drone is to navigate and then cease moving; and sending, to the drone via the communication channel, notification data that notifies the drone to navigate to the space.

A method for automated assignment of a staging pad to an unmanned aerial vehicle (UAV) includes: launching the UAV from a launch location; tracking a drift of the UAV from the launch location; determining a subsequent position of the UAV after the launching based upon geofiducial navigation; calculating an estimated position of the launch location by offsetting the subsequent position by the drift; attempting to match the estimated position to an available staging pad of a plurality of staging pads; and assigning the UAV to the available staging pad when the estimated position successfully matches to the available staging pad.

A control device (200) includes a ground vehicle controller (230) that causes a ground vehicle to travel at a target area, an acquirer (210) that acquires state information expressing a state of a surface of the target area while the ground vehicle travels the target area, and a determiner (240) that determines, based on the acquired state information, whether or not an aircraft is landable at the target area.

The present invention relates to an on-board emergency remote assistance and data retrievable system configured to download and retrieve image, audio and video information from the inside and outside of a manned aerial vehicle (MAV) using an on-board unmanned aerial vehicle (UAV), while the MAV is either in the air or crashed. The UAV system including at least one drone in coordination with a remote station to automatically locate a distressed MAV while in operation, to track it and provide assistance when possible, wherein the drone being integrated into the MAV. The system of the present invention conclusively prevents the lost or disappearance, and crash of the manned aerial vehicle without a trace.

A method, apparatus, apparatus, and computer program product for managing an autonomous aerial vehicle. A copy of a mission plan is stored in a mission work queue. The mission plan is located in the autonomous aerial vehicle and comprises mission components that define tasks performed by the autonomous aerial vehicle. A change to the mission components in the copy of the mission plan in the mission work queue is received to form a modified mission component in the copy of the mission plan. A determination is made as to whether the copy of the mission plan including the modified mission component can be executed by the autonomous aerial vehicle. The copy of the mission plan including the modified mission component is synchronized with the mission plan in the autonomous aerial vehicle such that the mission plan includes the modified mission component. The autonomous aerial vehicle executes the mission plan.

A method and system for coordination of a plurality of munitions in a Global Positioning System (GPS) denied attack of a plurality of ground targets. A relative position of each munition is determined relative to the other munitions in the salvo and a distance range is determined of each munition relative to the other munitions in the salvo. A constellation formation is determined for the plurality of munitions in the salvo relative to a target seeker basket such that each munition in the constellation formation is navigated to its respective target seeker basket, whereby a change in navigation for each munition is caused when necessary such that each munition arrives at its determined seeker basket at an approximate same time.