Embodiments may provide techniques for operating autonomous systems with improved autonomy so as to operate largely or completely, autonomously. For example, in an embodiment, a self-aware mobile system may comprise a vehicle, vessel, or aircraft comprising a plurality of sensors, comprising at least RADAR and LIDAR, adapted to obtain information about surroundings of the vehicle, vessel, or aircraft, and at least one computer system configured to receive data from the plurality of sensors, perform fusion of the received data to generate artificial vision data representing the surroundings of the vehicle, vessel, or aircraft, and to use the artificial vision data to provide autonomous functioning of the vehicle, vessel, or aircraft.

Embodiments may provide techniques for operating autonomous systems with improved autonomy so as to operate largely or completely, autonomously. For example, in an embodiment, a self-aware mobile system may comprise a vehicle, vessel, or aircraft comprising a plurality of sensors, comprising at least RADAR and LIDAR, adapted to obtain information about surroundings of the vehicle, vessel, or aircraft, and at least one computer system configured to receive data from the plurality of sensors, perform fusion of the received data to generate artificial vision data representing the surroundings of the vehicle, vessel, or aircraft, and to use the artificial vision data to provide autonomous functioning of the vehicle, vessel, or aircraft.

A dual use UAV or “drone” can include a battery and primary processor located at a fuselage, as well as two separate modular units removably coupled to the fuselage and in communication with the primary processor. The two separate modular units can interact with each other to provide an enhanced operation while the drone is in flight. One modular unit can be an ISR unit having a video camera, and the other modular unit can be a cargo unit. The enhanced operation can involve the ISR unit using its video camera to identify a delivery location for a cargo pod of the cargo unit. Alternative modular units can include a secondary ISR unit, a cargo fuel pod unit, or a robotic arm assembly. Standardized interfaces coupled to the fuselage can enable the ready removal of one modular unit and installation of another one.

A modular VTOL drone aircraft can include a primary processor, a plurality of propellers, one or more line replacement modules (“LRMs”) and one or more line replacement units (“LRUs”). LRMs can include a fuselage, a center wing, two booms, two outer wings, two vertical tails, a horizontal tail, and/or an engine. LRUs can include an avionics module, a radio communications assembly, a sensor package assembly, an ISR assembly, and/or a deployable payload assembly. Each LRM and LRU can be self-contained and removably attached to the remainder of the VTOL drone. Each LRM can be readily interchanged with another similar LRM, which can be of a different size. LRM interfaces can include a blind mate electric connector and/or a floating connector.

Sounds are generated by an aerial vehicle during operation. For example, the motors and propellers of an aerial vehicle generate sounds during operation. Disclosed are systems, methods, and apparatus for actively adjusting the shape of a propeller blade of an aerial vehicle during operation of the aerial vehicle. For example, the propeller blade may have one or more joints that adjust to alter the shape of the propeller blade. The altered shape of the propeller blade causes the propeller to generate different frequencies of sound as it rotates. By altering multiple propeller blades of the aerial vehicle, the different sounds generated by the different propeller blades may effectively cancel or reduce the total sound generated by the aerial vehicle, and/or alter the total frequency generated.

A floating unit and a supply system for a floating unit having a bendable connection element and a platform. The platform includes at least one connection point for storing the at least one floating unit. The at least one connection point includes an additional interface for connecting a first interface of the at least one floating unit wherein the bendable connection element is threaded through the clamping unit of the at least one floating unit.

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

A mobility management entity (MME) receives, from a first base station, a request for a handover of a wireless device to a second base station. Based on the handover request, the MME sends, to an access and mobility management function (AMF), an indication of an authentication and/or authorization (AA) status for an aerial service of the wireless device.

A mobility management entity (MME) receives, from a first base station, a request for a handover of a wireless device to a second base station. Based on the handover request, the MME sends, to an access and mobility management function (AMF), an indication of an authentication and/or authorization (AA) status for an aerial service of the wireless device.

An information processing device 1 includes a motion acquisition unit 22 for acquiring a motion magnitude for each of a plurality of image elements included in a plurality of captured images, a threshold determination unit 23 for determining a threshold used to exclude image elements not to be included in a histogram showing a distribution of the motion magnitudes of the image elements, a histogram creation unit 24 for creating the histogram with respect to image elements, among the plurality of image elements, excluding image elements having motion magnitudes that exceed the threshold, a range estimation unit 25 for referring to the histogram in order to estimate a motion magnitude range corresponding to image elements capturing a predetermined part of the imaging subject, the predetermined part being within a predetermined distance range of an imaging position, and an image element specification unit 26 for specifying the image elements capturing the predetermined part by specifying the image elements belonging to the estimated range.