Patent classifications
B64U101/64
Automatic selection of delivery zones using survey flight 3D scene reconstructions
A method includes navigating, by an uncrewed aerial vehicle (UAV), to a delivery location in an environment. The method also includes capturing, by at least one sensor on the UAV, sensor data representative of the delivery location. The method further includes determining, based on the sensor data representative of the delivery location, a segmented point cloud. The segmented point cloud defines a point cloud of the delivery location segmented into a plurality of point cloud areas with corresponding semantic classifications. The method additionally includes determining, based on the segmented point cloud, at least one delivery point in the delivery location. The at least one delivery point in the delivery location satisfies at least one condition indicating that a descent path above the at least one delivery point represented in the point cloud is at least a particular lateral distance away from point cloud areas with corresponding semantic classifications indicative of an obstacle at the delivery location. The method also includes transmitting, by the UAV, the at least one delivery point to a server device.
Pickup system and pickup method
An aspect of the present invention provides a pickup system which makes, even in a case of transporting a load by using a single unmanned flying object, the unmanned flying object and the load less likely to tilt. A pickup system (1) includes: a holder (11) for holding a load (L); a measuring instrument (14) for measuring the position of the center of gravity of the holder (11) holding the load (L); and a controller (15) for moving, to a position immediately above the position of the center of gravity of the holder (11) holding the load (L), a connector (12) which is attached to the holder (11) in a movable manner and which is for connecting the holder (11) to a drone (D).
Multiple hoist delivery system for delivering parcels using unmanned aerial vehicles
A multiple hoist system is used with an unmanned aerial vehicle (UAV) for delivering parcels. An example of the multiple hoist system comprises two or more hoists that are independently operable, meaning that a first hoist can lower or raise a first line independently of using a second hoist to raise or lower a second line. The hoists can independently raise and lower their associated lines to allow the UAV to deliver multiple parcels to multiple delivery locations, or the hoists can synchronously raise and lower the associated lines together so that larger parcels can be delivered using the UAV. The hoists can be comprised within a body of the multiple hoist system. The body can further include a securing device for releasably securing the multiple hoist system to the UAV.
Flight vehicle with mounting unit having moving means, and mouning unit
A flight vehicle capable of improving the accuracy of the arrival position of baggage. The flight vehicle according to the present disclosure includes a mounting unit that holds a mounted object, holds the mounting unit via a string member, and has a moving means including a rotor blade provided between the upper end and the lower end of the mounting unit, when the mounting unit is viewed from the side.
Autonomous detect and avoid from speech recognition and analysis
A technique for detecting and avoiding obstacles by an unmanned aerial vehicle (UAV) includes: querying a knowledge graph having information related to a dynamic obstacle that may be in proximity to the UAV when traveling along a planned route; comparing the location of the dynamic obstacle to the UAV to detect conflicts; and in response to detecting a conflict, performing an action to avoid conflict with the dynamic obstacle. The knowledge graph can be updated by receiving a VHF radio signal containing the information related to the dynamic obstacle in the audible speech format; translating the audible speech format to a text format using speech recognition; analyzing the text format for relevant information related to the dynamic obstacle; comparing the relevant information related to the dynamic obstacle of the text format to the knowledge graph to detect changes; and updating the knowledge graph.
Drone air traffic control over satellite networks
An Unmanned Aerial Vehicle (UAV) air traffic control method utilizing wireless networks includes communicating with a plurality of UAVs via a plurality of satellites associated with the wireless networks, wherein the plurality of UAVs each include hardware and antennas adapted to communicate to the plurality of satellites; maintaining data associated with flight of each of the plurality of UAVs based on the communicating; and processing the maintained data to perform a plurality of function associated with air traffic control of the plurality of UAVs.
Vertical air vehicle takeoff and landing stabilization apparatuses, systems, and methods
Vertical takeoff and landing vehicles (VTOLs) of the type used for the point-to-point delivery and transport of payloads (e.g., packages, equipment, etc.) and personnel, are significantly stabilized at least during takeoff and landing with present aspects significantly ameliorating or significantly eliminating destabilizing effects, including ground effect, during VTOL takeoff and/or landing.
Bidirectional thrust apparatus, system and method
A bidirectional thrust assembly comprises a motor, a selective power transfer mechanism, and a plurality of fans; wherein a change in direction of rotation of the motor causes the selective power transfer mechanism to change a torque transfer among the plurality of fans, wherein the fans may be opposing, and wherein the fans may be unidirectional. The bidirectional thrust assembly may be used in or by a plurality of craft or with respect to other objects which may need to be maneuvered, included suspended load control systems, vertical takeoff and landing craft, watercraft.
Aerial vehicle detection system
Embodiments described herein are concerned with system for identifying an aerial vehicle. The system comprises: a radar sub-system, the radar sub-system comprising at least one radar connectable to a static support member and a transceiver configured to transmit data indicative of one or more targets identified by the radar within an airspace; a receiver arranged to receive the data indicative of one or more targets identified by the radar; and a processing system configured to process said data, whereby to identify at least one aerial vehicle. In some embodiments the radar comprises a marine radar.
Delivery drop points for autonomous delivery vehicles
Autonomous delivery drop points for delivery of an item are provided. The autonomous delivery drop points can include a proxy sensor to communicate information related to the autonomous delivery drop point to an autonomous delivery vehicle. The autonomous delivery drop points can include a delivery inlet configured to accept the item. The autonomous delivery drop points can include a storage receptacle configured to store the item until the item is retrieved by the owner of the item. The autonomous delivery drop points can include an attachment member coupled to the item. The autonomous delivery drop points can include a hook configured to couple to the attachment member to accept the item, wherein the hook comprises the proxy sensor.