A beacon for attachment to an unmanned aerial vehicle that provides information needed to identify the owner of a particular unmanned vehicle. The beacon may also include a remote communications module configured to participate on wireless communications networks and a beacon control system configured to issue commands compatible with the unmanned aerial vehicle. The beacon may further a beacon control system configured to translate multiple types of commands from different controls systems into commands compatible with the unmanned aerial vehicle.

A system and method for management of airspace for unmanned aircraft is disclosed. The system and method comprises administration of the airspace including designation of flyways and zones with reference to features in the region. The system and method comprises administration of aircraft including registration of aircraft and mission. A monitoring system tracks conditions and aircraft traffic in the airspace. Aircraft may be configured to transact with the management system including to obtain rights/priority by license and to operate in the airspace under direction of the system. The system and aircraft may be configured for dynamic transactions (e.g. licensing/routing). The system will set rates for licenses and use/access to the airspace and aircraft will be billed/pay for use/access of the airspace at rates using data from data sources.

Systems and methods for updating a terrain awareness and warning system (TAWS) database are disclosed. The systems request, by way of the first wireless communications device communicating by way of an avionics data transfer protocol, an update to the TAWS database, where the request is based upon flight path data, and receive and accept, by way of the first wireless communications device and by way of the avionics data transfer protocol and in response to the request, the update to the TAWS database.

A system for providing integrated detection and countermeasures against unmanned aerial vehicles include a detecting element, a location determining element and an interdiction element. The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The location determining element determines the exact location of the unmanned aerial vehicle. The interdiction element can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can cause disable the unmanned aerial vehicle in a destructive manner.

Methods, systems, and devices are disclosed for providing conditional access for a drone for accessing a restricted area. Conditional access information associated with conditional access restrictions for the restricted area may be received by the drone. The drone may compare the received conditional access information to one or more access parameters for the drone. The drone may access the restricted area based on the comparison of the received conditional access information and the access parameter. A drone may take corrective action when the received conditional access information does not permit access to the restricted area based on the access parameter for the drone.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial system inspection system. One of the methods is performed by a UAV and includes obtaining, from a user device, flight operation information describing an inspection of a vertical structure to be performed, the flight operation information including locations of one or more safe locations for vertical inspection. A location of the UAV is determined to correspond to a first safe location for vertical inspection. A first inspection of the structure is performed is performed at the first safe location, the first inspection including activating cameras. A second safe location is traveled to, and a second inspection of the structure is performed. Information associated with the inspection is provided to the user device.

A method for evaluating an output pattern printed on a medium is described. A reference pattern is stored. The output pattern is printed on the medium based correspondingly on the stored reference pattern. A scan based instance of the output pattern is rendered, which has a set of features at least corresponding to the printed output pattern and zero or more features additional thereto. A difference image, having the zero or more features of the rendered scan instance, is computed based on a comparison of the rendered scan instance to the stored reference pattern. Upon the zero or more features including at least one feature, the computed difference image is evaluated in relation to a proximity of at least one feature to locations pixels of the reference pattern.

Example aircraft intent processors are described herein that can be used both for the prediction of an aircraft's trajectory from aircraft intent, and the execution of aircraft intent for controlling the aircraft. An example aircraft intent processor includes an aircraft intent input to receive aircraft intent data representative of aircraft intent instructions, an aircraft state input to receive state data representative of a state of the aircraft, and a residual output. The aircraft intent processor is to calculate residual data representative of an error between a state of the aircraft commanded by the received aircraft intent data and the state of the aircraft expressed by received state data, and output the residual data via the residual output.

The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (DATCM) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings. With (near) real-time comprehensive hazard information and/or predictive turbulence/icing forecast specific to airfoil type and/or profile parameters, the DATCM may allow aircraft to avoid areas where comprehensive hazard is greater than a predetermined threshold and/or avoid areas where turbulence/icing may occur.

Systems and methods of the present invention are provided to generate a plurality of flight trajectories that do not conflict with other aircraft in a local area. Interventions by an air traffic control system help prevent collisions between aircraft, but these interventions can also cause an aircraft to substantially deviate from the pilot's intended flight trajectory, which burns fuels, wastes time, etc. Systems and methods of the present invention can assign a standard avoidance interval to other aircraft in the area such that a pilot's aircraft does not receive an intervention by an air traffic control system. Systems and methods of the present invention also generate a plurality of conflict-free flight trajectories such that a pilot or an automated system may select the most desirable flight trajectory for fuel efficiency, speed, and other operational considerations, etc.