39 - Transport, packaging, storage and travel services
Goods & Services
Transportation logistics services, namely, arranging, planning, and scheduling the delivery of goods by drone for others; business management of logistics for others; logistics management in the field of drone delivery, retail, delivery, and transportation; business advisory services in the field of transportation logistics Transportation and delivery services of goods by air; management of autonomous aircraft and drone navigation in the nature of traffic flow through advanced communications network and technology; routing of autonomous aircraft and drones by computer on data networks; aeronautic navigation services, namely, aeronautic radio navigation services; expedited shipping service of goods for others; GPS navigation services for autonomous aircrafts and drones; air navigation services for autonomous aircrafts and drones; storage of goods; storage of goods for later pickup and delivery purposes; storage of goods at designated pickup locations
39 - Transport, packaging, storage and travel services
Goods & Services
Transportation logistics services, namely, arranging, planning, and scheduling the delivery of goods by drone for others; business management of logistics for others; logistics management in the field of drone delivery, retail, delivery, and transportation; business advisory services in the field of transportation logistics Transportation and delivery services of goods by air; management of autonomous aircraft and drone navigation in the nature of traffic flow through advanced communications network and technology; routing of autonomous aircraft and drones by computer on data networks; aeronautic navigation services, namely, aeronautic radio navigation services; expedited shipping service of goods for others; GPS navigation services for autonomous aircrafts and drones; air navigation services for autonomous aircrafts and drones; storage of goods; storage of goods for later pickup and delivery purposes; storage of goods at designated pickup locations
06 - Common metals and ores; objects made of metal
07 - Machines and machine tools
Goods & Services
Metal stands for holding packages; metal stand devices for holding packages for subsequent drone pickup and delivery; metal storage containers for storage of packages; metal stands containing metal storage containers for holding packages Loading and unloading machines; machines for holding packages; machines for holding packages for drone pickup and delivery
06 - Common metals and ores; objects made of metal
07 - Machines and machine tools
Goods & Services
Metal stands for holding packages; metal stand devices for holding packages for subsequent drone pickup and delivery; metal storage containers for storage of packages; metal stands containing metal storage containers for holding packages Loading and unloading machines; machines for holding packages; machines for holding packages for drone pickup and delivery
An apparatus for visual navigation of a UAV includes a geo-fiducial mat and a plurality of geo-fiducials. The geo-fiducial mat includes a landing pad region that provides a location for aligning with a landing pad of a UAV. The geo-fiducials each includes a two-dimensional (2D) pattern that visually conveys a code. The 2D pattern has a shape from which a visual navigation system of the UAV can visually triangulate a position of the UAV.
Methods and systems for recipient-assisted recharging during delivery by an unmanned aerial vehicle (UAV) are disclosed herein. During a UAV transport task, a UAV determines that the UAV has arrived at a delivery location specified by a first flight leg of the transport task. The UAV responsively initiates a notification process indicating that a recipient-assisted recharging process should be initiated at or near the delivery location. When the UAV determines that the recipient-assisted recharging process has recharged a battery of the UAV to a target level, and also determines that a non-returnable portion of the payload has been removed from the UAV while a returnable portion of the payload is coupled to or held by the UAV, the UAV initiates a second flight segment of the transport task.
In some embodiments, a computer-implemented method of managing a fleet of unmanned aerial vehicles (UAVs) is provided. A fleet management computing system receives telemetry information from a plurality of UAVs. The fleet management computing system generates a map interface having a plurality of UAV icons based on the telemetry information. The fleet management computing system receives a selection of an initial group of UAV icons via the map interface, wherein the initial group of UAV icons includes two or more UAV icons. The fleet management computing system receives a de-selection of one or more UAV icons from the initial group of UAV icons to create a final selected group of UAV icons. The fleet management computing system transmits a command to UAVs associated with the UAV icons of the final selected group of UAV icons.
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
G05D 1/10 - Simultaneous control of position or course in three dimensions
8.
SYSTEMS AND METHODS FOR CONCURRENT MANAGEMENT OF MULTIPLE UNMANNED AIRCRAFT
In some embodiments, a computer-implemented method of managing a fleet of unmanned aerial vehicles (UAVs) is provided. A fleet management computing system receives telemetry information from a plurality of UAVs. The fleet management computing system generates a map interface having a plurality of UAV icons based on the telemetry information. The fleet management computing system receives a selection of an initial group of UAV icons via the map interface, wherein the initial group of UAV icons includes two or more UAV icons. The fleet management computing system receives a de-selection of one or more UAV icons from the initial group of UAV icons to create a final selected group of UAV icons. The fleet management computing system transmits a command to UAVs associated with the UAV icons of the final selected group of UAV icons.
In some embodiments, a system comprising a user device and a restriction management system is provided. The restriction management system includes one or more processors and at least one computer-readable medium. The computer-readable medium has logic stored thereon that, in response to execution by the one or more processors, cause the restriction management system to perform actions comprising receiving flight plan information, querying a restriction data store to retrieve an initial set of restriction definitions relevant to the flight plan information, generating information for presenting a checklist based on a comparison of restriction definitions from the initial set of restrictions to a set of checklist items, and transmitting the information for presenting the set of checklist items to the user device for presentation. In some embodiments, the flight plan information includes a planned flight area and a planned flight period of time.
In some embodiments, a system comprising a user device and a restriction management system is provided. The restriction management system includes one or more processors and at least one computer-readable medium. The computer-readable medium has logic stored thereon that, in response to execution by the one or more processors, cause the restriction management system to perform actions comprising receiving flight plan information, querying a restriction data store to retrieve an initial set of restriction definitions relevant to the flight plan information, generating information for presenting a checklist based on a comparison of restriction definitions from the initial set of restrictions to a set of checklist items, and transmitting the information for presenting the set of checklist items to the user device for presentation. In some embodiments, the flight plan information includes a planned flight area and a planned flight period of time.
An example UAV landing structure includes a landing platform for a UAV, a cavity within the landing platform, and a track that runs along the landing platform and at least a part of the cavity. The UAV may include a winch system that includes a tether that may be coupled to a payload. Furthermore, the cavity may be aligned over a predetermined target location. The cavity may be sized to allow the winch system to pass a tethered payload through the cavity. The track may guide the UAV to a docked position over the cavity as the UAV moves along the landing platform. When the UAV is in the docked position, a payload may be loaded to or unloaded from the UAV through the cavity.
Techniques for optimizing a restricted area for autonomous vehicle operations is provided. A fleet management system receives a definition of a general restricted area. The fleet management system collects information associated with the general restricted area. The fleet management system determines a specific restricted area based on the definition of the general restricted area and the collected information. The fleet management system controls one or more autonomous vehicles based on the specific restricted area. In some embodiments, the collected information includes aerial imagery and/or other environmental sensor data.
Techniques for optimizing a restricted area for autonomous vehicle operations is provided. A fleet management system receives a definition of a general restricted area. The fleet management system collects information associated with the general restricted area. The fleet management system determines a specific restricted area based on the definition of the general restricted area and the collected information. The fleet management system controls one or more autonomous vehicles based on the specific restricted area. In some embodiments, the collected information includes aerial imagery and/or other environmental sensor data.
A method includes determining an operational condition associated with an unmanned aerial vehicle (UAV). The method includes, responsive to determining the operational condition, causing the UAV to perform a pre-flight check. The pre-flight check includes hovering the UAV above a takeoff location. The pre-flight check includes, while hovering the UAV, moving one or more controllable components of the UAV in accordance with a predetermined sequence of movements. The pre-flight check includes obtaining, by one or more sensors of the UAV, sensor data indicative of a flight response of the UAV to moving the one or more controllable components while hovering the UAV. The pre-flight check includes comparing the sensor data to expected sensor data associated with an expected flight response to the predetermined sequence of movements while hovering the UAV. The pre-flight check includes, based on comparing the sensor data to the expected sensor data, evaluating performance of the UAV.
A method includes determining an operational condition associated with an unmanned aerial vehicle (UAV). The method includes, responsive to determining the operational condition, causing the UAV to perform a pre-flight check. The pre-flight check includes hovering the UAV above a takeoff location. The pre-flight check includes, while hovering the UAV, moving one or more controllable components of the UAV in accordance with a predetermined sequence of movements. The pre-flight check includes obtaining, by one or more sensors of the UAV, sensor data indicative of a flight response of the UAV to moving the one or more controllable components while hovering the UAV. The pre-flight check includes comparing the sensor data to expected sensor data associated with an expected flight response to the predetermined sequence of movements while hovering the UAV. The pre- flight check includes, based on comparing the sensor data to the expected sensor data, evaluating performance of the UAV.
Unmanned aerial vehicle (UAV) navigation systems include a UAV charging pad positioned at a storage facility, a plurality of fiducial markers positioned at the storage facility, and a UAV. Each of the fiducial markers is associated with a fiducial dataset storing a position of the corresponding fiducial marker, and the fiducial datasets are stored in a fiducial map. The UAV includes a camera and logic that when executed causes the UAV to image a first fiducial marker, to access from the fiducial map a first fiducial dataset storing the position of the first fiducial marker, and to navigate based upon the first fiducial dataset.
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06K 7/10 - Methods or arrangements for sensing record carriers by corpuscular radiation
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
17.
Anticipatory Dispatch of UAVs to Pre-staging Locations
An example method involves determining an expected demand level for a first type of a plurality of types of transport tasks for unmanned aerial vehicles (UAVs), the first type of transport tasks associated with a first payload type. Each of the UAVs is physically reconfigurable between at least a first and a second configuration corresponding to the first payload type and a second payload type, respectively. The method also involves determining based on the expected demand level for the first type of transport tasks, (i) a first number of UAVs having the first configuration and (ii) a second number of UAVs having the second configuration. The method further involves, at or near a time corresponding to the expected demand level, providing one or more UAVs to perform the transport tasks, including at least the first number of UAVs.
A method includes determining a threshold capacity associated with at least a first unmanned aerial vehicle (UAV) and a second UAV. The method includes initially setting a target charge voltage of a first battery of the first UAV to less than a full charge voltage to limit a state of charge of the first battery based on the threshold capacity. The method includes, over a lifetime of the first battery of the first UAV, periodically comparing a full charge capacity of the first battery to the threshold capacity. The method includes, based on the comparing, periodically adjusting the target charge voltage of the first battery, such that, as the full charge capacity of the first battery decreases with age, the target charge voltage increases towards the full charge voltage of the first battery.
B60L 58/13 - Maintaining the SoC within a determined range
G01R 31/387 - Determining ampere-hour charge capacity or SoC
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
G01R 31/392 - Determining battery ageing or deterioration, e.g. state of health
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
19.
METHODS AND SYSTEMS FOR DAMPING OSCILLATIONS OF A PAYLOAD
Described herein are methods and systems to dampen oscillations of a payload coupled to a tether of a winch system arranged on an unmanned aerial vehicle (UAV). For example, the UAV's control system may dampen the oscillations by causing the UAV to switch to a forward flight mode in which movement of the UAV results in drag on the payload, thereby damping the oscillations. In another example, the control system may cause the UAV to reduce an extent flight stabilization along at least one dimension, thereby resulting in damping of the detected oscillations due to energy dissipation during movement of the UAV along the dimension. In this way, the control system could select and carry out one or more such techniques, and could do so during retraction and/or deployment of the tether.
A method includes determining a threshold capacity associated with at least a first unmanned aerial vehicle (UAV) and a second UAV. The method includes initially setting a target charge voltage of a first battery of the first UAV to less than a full charge voltage to limit a state of charge of the first battery based on the threshold capacity. The method includes, over a lifetime of the first battery of the first UAV, periodically comparing a full charge capacity of the first battery to the threshold capacity. The method includes, based on the comparing, periodically adjusting the target charge voltage of the first battery, such that, as the full charge capacity of the first battery decreases with age, the target charge voltage increases towards the full charge voltage of the first battery.
B60L 58/13 - Maintaining the SoC within a determined range
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
B60L 3/00 - Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
21.
TERMINAL AREA NAVIGATION AND CONTROL OF UAVS FOR PACKAGE DELIVERY SYSTEM
A technique for controlling unmanned aerial vehicles (UAVs) operating in proximity to a terminal area from which the UAVs are staged includes charging a plurality of the UAVs on charging pads disposed in a staging array at the terminal area. Merchant facilities for preparing packages for delivery by the UAVs are disposed about a periphery of the staging array. The UAVs are relocated under their own propulsion from interior charging pads to peripheral loading pads of the staging array as the peripheral loading pads become available and the UAVs are deemed sufficiently charged and ready for delivery missions.
A technique for controlling unmanned aerial vehicles (UAVs) operating in proximity to a terminal area from which the UAVs are staged includes charging a plurality of the UAVs on charging pads disposed in a staging array at the terminal area. Merchant facilities for preparing packages for delivery by the UAVs are disposed about a periphery of the staging array. The UAVs are relocated under their own propulsion from interior charging pads to peripheral loading pads of the staging array as the peripheral loading pads become available and the UAVs are deemed sufficiently charged and ready for delivery missions.
A landing pad for an unmanned aerial vehicle ("UAV") is disclosed. The landing pad includes a support structure, a charging pad, and a plurality of movable UAV supports. The charging pad is coupled to the support structure and able to move relative to the support structure. The UAV supports are also coupled to the support structure and configured to translate along the support structure from a first position to a second position. When the UAV supports are in the first position, the charging pad supports the UAV. When the UAV supports are in the second position, the charging pad is lowered and the UAV supports then provide support to the UAV.
A landing pad for an unmanned aerial vehicle (“UAV”) is disclosed. The landing pad includes a support structure, a charging pad, and a plurality of movable UAV supports. The charging pad is coupled to the support structure and able to move relative to the support structure. The UAV supports are also coupled to the support structure and configured to translate along the support structure from a first position to a second position. When the UAV supports are in the first position, the charging pad supports the UAV. When the UAV supports are in the second position, the charging pad is lowered and the UAV supports then provide support to the UAV.
Described herein are methods and systems that help facilitate the summoning and loading of a pickup and delivery unmanned aerial vehicle (UAV). In particular, a computing system may display a graphical interface including an interface feature that indicates UAV assignments. That computing system may receive a message including a UAV identifier that identifies a particular UAV assigned to a particular item based on a UAV-assignment request for the particular item. And the computing system may use the received UAV identifier as a basis for displaying, on the graphical interface, (i) a graphical identifier of the particular UAV assigned to the particular item based on the UAV-assignment request for the particular item and (ii) a graphical identifier of the particular item.
Example implementations may relate to door-enabled loading and release of payloads in an unmanned aerial vehicle (UAV), which could be a type of UAV in a group of UAVs that is assigned to carry out certain transport tasks. In particular, the UAV may include a fuselage having a first side and a second side, as well as a chamber formed within the fuselage and arranged to house a payload. A first door may be arranged on the first side of the fuselage, such that an opening of the first door enables loading of the payload into the chamber. And a second door may be arranged on the second side of the fuselage, such that an opening of the second door enables release of the payload from the chamber. Moreover, the UAV may include a control system configured to control flight of the UAV, and possibly opening and/or closing of door(s).
In some embodiments, techniques are provided for verifying operability of an automatic dependent surveillance-broadcast (ADS-B) receiver included in a first unmanned aerial vehicle (UAV), which includes receiving ADS-B data representative of ADS-B messages broadcast by traffic within a reception range of the ADS-B receiver during a first period of time, estimating a traffic environment for a service area spanning, at least in part, a first operating area of the first UAV during the first period of time, determining an expected observed traffic of the first UAV during the first period of time based on the estimated traffic environment, and verifying operability of the ADS-B receiver of the first UAV based on a comparison between the expected observed traffic of the first UAV and the traffic associated with the ADS-B data received by the ADS-B receiver of the first UAV.
In some embodiments, techniques are provided for verifying operability of an automatic dependent surveillance-broadcast (ADS-B) receiver included in a first unmanned aerial vehicle (UAV), which includes receiving ADS-B data representative of ADS-B messages broadcast by traffic within a reception range of the ADS-B receiver during a first period of time, estimating a traffic environment for a service area spanning, at least in part, a first operating area of the first UAV during the first period of time, determining an expected observed traffic of the first UAV during the first period of time based on the estimated traffic environment, and verifying operability of the ADS-B receiver of the first UAV based on a comparison between the expected observed traffic of the first UAV and the traffic associated with the ADS-B data received by the ADS-B receiver of the first UAV.
Example implementations relate to a method of dynamically updating a transport task of a UAV. The method includes receiving, at a transport-provider computing system, an item provider request for transportation of a plurality of packages from a loading location at a given future time. The method also includes assigning, by the transport-provider computing system, a respective transport task to each of a plurality of UAVs, where the respective transport task comprises an instruction to deploy to the loading location to pick up one or more of the plurality of packages. Further, the method includes identifying, by the transport-provider system, a first package while or after a first UAV picks up the first package. Yet further, the method includes based on the identifying of the first package, providing, by the transport-provider system, a task update to the first UAV to update the respective transport task of the first UAV.
A propeller blade for an unmanned aerial vehicle ("UAV") is disclosed. The UAV includes a plurality of lift propellers and at least one thrust propeller. Each of the plurality of thrust propellers includes a thrust propeller blade coupled to a hub of the thrust propeller. The thrust propeller blade is configured such that a centrifugal force acting on the thrust propeller blade causes a thrust propeller disk area to increase from a first disk area when the UAV is in a first operational state to a second disk area when the UAV is in a second operational state.
A propeller blade for an unmanned aerial vehicle (“UAV”) is disclosed. The UAV includes a plurality of lift propellers and at least one thrust propeller. Each of the plurality of thrust propellers includes a thrust propeller blade coupled to a hub of the thrust propeller. The thrust propeller blade is configured such that a centrifugal force acting on the thrust propeller blade causes a thrust propeller disk area to increase from a first disk area when the UAV is in a first operational state to a second disk area when the UAV is in a second operational state.
B64C 27/57 - Mechanisms for controlling blade adjustment or movement relative to rotor head, e.g. lag-lead movement characterised by the control initiating means, e.g. manually actuated automatic or condition responsive, e.g. responsive to rotor speed, torque or thrust
A technique for detecting an environmental change to a delivery zone via an unmanned aerial vehicle includes obtaining an anchor image and an evaluation image, each representative of the delivery zone, providing the anchor image and the evaluation image to a machine learning model to determine an embedding score associated with a distance between representations of the anchor image and the evaluation image within an embedding space, and determining an occurrence of the environmental change to the delivery zone when the embedding score is greater than a threshold value.
A technique for detecting an environmental change to a delivery zone via an unmanned aerial vehicle includes obtaining an anchor image and an evaluation image, each representative of the delivery zone, providing the anchor image and the evaluation image to a machine learning model to determine an embedding score associated with a distance between representations of the anchor image and the evaluation image within an embedding space, and determining an occurrence of the environmental change to the delivery zone when the embedding score is greater than a threshold value.
An apparatus for visual navigation of a UAV includes a geo-fiducial mat and a plurality of geo-fiducials. The geo-fiducial mat includes a landing pad region that provides a location for aligning with a landing pad of a UAV and a survey point. The geo-fiducials are each specified for a unique directional and offset position in or about the landing pad region relative to the survey point. The geo-fiducials each includes a two-dimensional (2D) pattern that visually conveys an alphanumerical code. The 2D pattern has a shape from which a visual navigation system of the UAV can visually triangulate a position of the UAV.
Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.
G05D 1/02 - Control of position or course in two dimensions
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
An aerial vehicle is provided including rotor units connected to the aerial vehicle, and a control system configured to operate at least one of the rotor units. The rotor unit includes rotor blades, wherein each rotor blade includes a surface area, and wherein an asymmetric parameter is defined, at least in part, by the relationship between the surface areas of the rotor blades. The value of the asymmetric parameter is selected such that the operation of the rotor unit: (i) moves the rotor blades such that each rotor blade produces a respective vortex and (ii) the respective vortices cause the rotor unit to produce a sound output having an energy distribution defined, at least in part, by a set of frequencies, wherein the set of frequencies includes a fundamental frequency, one or more harmonic frequencies, and one or more non-harmonic frequencies having a respective strength greater than a threshold strength.
An apparatus for visual navigation of a UAV includes a geo-fiducial mat and a plurality of geo-fiducials. The geo-fiducial mat includes a landing pad region that provides a location for aligning with a landing pad of a UAV and a survey point. The geo-fiducials are each specified for a unique directional and offset position in or about the landing pad region relative to the survey point. The geo-fiducials each includes a two-dimensional (2D) pattern that visually conveys an alphanumerical code. The 2D pattern has a shape from which a visual navigation system of the UAV can visually triangulate a position of the UAV.
An aerial vehicle is provided including rotor units connected to the aerial vehicle, and a control system configured to operate at least one of the rotor units. The rotor unit includes rotor blades, wherein each rotor blade includes a surface area, and wherein an asymmetric parameter is defined, at least in part, by the relationship between the surface areas of the rotor blades. The value of the asymmetric parameter is selected such that the operation of the rotor unit: (i) moves the rotor blades such that each rotor blade produces a respective vortex and (ii) the respective vortices cause the rotor unit to produce a sound output having an energy distribution defined, at least in part, by a set of frequencies, wherein the set of frequencies includes a fundamental frequency, one or more harmonic frequencies, and one or more non-harmonic frequencies having a respective strength greater than a threshold strength.
A payload loading system is disclosed. The payload loading system includes a UAV and a loading structure. A retractable tether is coupled to a payload coupling apparatus at a distal end and the UAV at a proximate end. A payload is loaded to the UAV by coupling the payload to the payload coupling apparatus. The loading structure of the payload loading system includes a landing platform and a tether guide. The tether guide is coupled to the landing platform and directs the tether as the UAV approaches and travels across at least a portion of the landing platform such that the payload coupling apparatus arrives at a target location. The payload is loaded to the payload coupling apparatus while the payload coupling apparatus is within the target location.
A payload coupling apparatus is provided that includes a housing having an upper portion, a lower portion, and a side wall positioned between the upper and lower portions, an attachment point on the housing adapted for attachment to a first end of a tether, a slot in the housing that extends downwardly towards a center of the housing thereby forming a hook or lip on the lower portion of the housing beneath the slot, a plurality of holes in the upper portion of the housing; and a plurality of holes in the lower portion of the housing. A method of retracting a payload coupling apparatus during UAV flight is also provided.
Described herein are methods and systems for motorized control of a tether, such as for purposes of user interaction and feedback. In particular, a UAV's control system may determine one or more operational parameters of a motor for a winch disposed in the UAV, the winch including the tether and a spool. The control system may then detect in the one or more operational parameters, an operational pattern of the motor that is indicative of an intentional user-interaction with the tether. Based on the detected operational pattern of the motor that is indicative of the intentional user-interaction with the tether, the control system may determine a motor response process. Then, the control system may operate the motor in accordance with the determined motor response process.
A method is provided that includes causing an operational member of a system to move. The method includes driving a power or control signal through a conductive coupling member. The conductive coupling member is connected between a first terminal and a second terminal in a power circuit, and the coupling member secures the operational member to a structural member of the system. The method includes detecting an electrical disconnect between the first terminal and a second terminal. The method includes determining a mechanical break associated with the coupling member based on the electrical disconnect between the first terminal and the second terminal. The method includes causing the operational member of the system to stop moving based on determining the mechanical break associated with the coupling member.
B64D 27/24 - Aircraft characterised by the type or position of power plant using steam, electricity, or spring force
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64C 27/68 - Transmitting means, e.g. interrelated with initiating means or means acting on blades using electrical energy, e.g. having electrical power amplification
H01R 4/56 - Electrically-conductive connections between two or more conductive members in direct contact, i.e. touching one another; Means for effecting or maintaining such contact; Electrically-conductive connections having two or more spaced connecting locations for conductors and using contact members penetrating insulation one conductor screwing into another
43.
SYSTEMS AND METHODS FOR STOPPING MOVEMENT OF OPERATIONAL MEMBERS
A method is provided that includes causing an operational member of a system to move. The method includes driving a power or control signal through a conductive coupling member. The conductive coupling member is connected between a first terminal and a second terminal in a power circuit, and the coupling member secures the operational member to a structural member of the system. The method includes detecting an electrical disconnect between the first terminal and a second terminal. The method includes determining a mechanical break associated with the coupling member based on the electrical disconnect between the first terminal and the second terminal. The method includes causing the operational member of the system to stop moving based on determining the mechanical break associated with the coupling member.
Example implementations may relate to self-deployment of operational infrastructure by an unmanned aerial vehicle (UAV). Specifically, a control system may determine operational location(s) from which a group of UAVs is to provide aerial transport services in a geographic area. For at least a first of the operational location(s), the system may cause a first UAV from the group to perform an infrastructure deployment task that includes (i) a flight from a source location to the first operational location and (ii) installation of operational infrastructure at the first operational location by the first UAV. In turn, this may enable the first UAV to operate from the first operational location, as the first UAV can charge a battery of the first UAV using the operational infrastructure installed at the first operational location and/or can carry out item transport task(s) at location(s) that are in the vicinity of the first operational location.
A technique for validating a balcony to receive delivery of a parcel via a UAV includes obtaining a first identification of a general location of the balcony; generating a first image representing a building including the balcony where the first image is selected based upon the location identified; obtaining a second identification or a confirmation of a precise location of the balcony in the building where the second identification or the confirmation are received in response to an end-user interaction with the first image; determining a deliverability score based at least in part on the precise location of the balcony; and indicating an enrollment status to the end-user where the enrollment status is generated based upon the deliverability score.
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
A technique for validating a balcony to receive delivery of a parcel via a UAV includes obtaining a first identification of a general location of the balcony; generating a first image representing a building including the balcony where the first image is selected based upon the location identified; obtaining a second identification or a confirmation of a precise location of the balcony in the building where the second identification or the confirmation are received in response to an end-user interaction with the first image; determining a deliverability score based at least in part on the precise location of the balcony; and indicating an enrollment status to the end-user where the enrollment status is generated based upon the deliverability score.
An unmanned aerial vehicle (UAV) includes a propulsion system, a global navigation satellite system (GNSS) sensor, a camera and a controller. The controller includes logic that, in response to execution by the controller, causes the UAV to in response to detecting a loss of tracking by the GNSS sensor determine an estimated location of the UAV on a map based on a location image captured by the camera, determine a route to a destination using tracking parameters embedded in the map, wherein the map is divided into a plurality of sections and the tracking parameters indicate an ease of determining a location of the UAV using images captured by the camera with respect to each section, and control the propulsion system to cause the UAV to follow the route to the destination.
G01C 21/16 - Navigation; Navigational instruments not provided for in groups by using measurement of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
G05D 1/10 - Simultaneous control of position or course in three dimensions
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
An unmanned aerial vehicle (UAV) includes a propulsion system, a global navigation satellite system (GNSS) sensor, a camera and a controller. The controller includes logic that, in response to execution by the controller, causes the UAV to in response to detecting a loss of tracking by the GNSS sensor determine an estimated location of the UAV on a map based on a location image captured by the camera, determine a route to a destination using tracking parameters embedded in the map, wherein the map is divided into a plurality of sections and the tracking parameters indicate an ease of determining a location of the UAV using images captured by the camera with respect to each section, and control the propulsion system to cause the UAV to follow the route to the destination.
G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
H04W 4/029 - Location-based management or tracking services
49.
Systems and methods for generating annotations of structured, static objects in aerial imagery using geometric transfer learning and probabilistic localization
In some embodiments, aerial images of a geographic area are captured by an autonomous vehicle. In some embodiments, the locations of structures within a subset of the aerial images are manually annotated, and geographical locations of the manual annotations are determined based on pose information of the camera. In some embodiments, a machine learning model is trained using the manually annotated aerial images. The machine learning model is used to automatically generate annotations of other images of the geographic area, and the geographical locations determined from the manual annotations are used to determine an accuracy probability of the automatic annotations. The automatic annotations determined to be accurate may be used to re-train the machine learning model to increase its precision and recall.
G06T 7/70 - Determining position or orientation of objects or cameras
50.
SYSTEMS AND METHODS FOR GENERATING ANNOTATIONS OF STRUCTURED, STATIC OBJECTS IN AERIAL IMAGERY USING GEOMETRIC TRANSFER LEARNING AND PROBABILISTIC LOCALIZATION
In some embodiments, aerial images of a geographic area are captured by an autonomous vehicle. In some embodiments, the locations of structures within a subset of the aerial images are manually annotated, and geographical locations of the manual annotations are determined based on pose information of the camera. In some embodiments, a machine learning model is trained using the manually annotated aerial images. The machine learning model is used to automatically generate annotations of other images of the geographic area, and the geographical locations determined from the manual annotations are used to determine an accuracy probability of the automatic annotations. The automatic annotations determined to be accurate may be used to re-train the machine learning model to increase its precision and recall.
A technique for controlling an unmanned aerial vehicle (UAV) includes monitoring a sensed airspeed of the UAV, obtaining a commanded speed for the UAV, wherein the commanded speed representing a command to fly the UAV at a given speed relative to an airmass or to Earth, and when the commanded speed is greater than the sensed airspeed, using the commanded speed in lieu of the sensed airspeed to inform flight control decisions of the UAV.
Described herein are methods and systems for picking up, transporting, and lowering a payload coupled to a tether of a winch system arranged on an unmanned aerial vehicle (UAV). For example, the winch system may include a motor for winding and unwinding the tether from a spool, and the UAV's control system may operate the motor to lower the tether toward the ground so a payload may be attached to the tether. The control system may monitor an electric current supplied to the motor to determine whether the payload has been attached to the tether. In another example, when lowering a payload, the control system may monitor the motor current to determine that the payload has reached the ground and responsively operate the motor to detach the payload from the tether. The control system may then monitor the motor current to determine whether the payload has detached from the tether.
A technique for controlling an unmanned aerial vehicle (UAV) includes monitoring a sensed airspeed of the UAV, obtaining a commanded speed for the UAV, wherein the commanded speed representing a command to fly the UAV at a given speed relative to an airmass or to Earth, and when the commanded speed is greater than the sensed airspeed, using the commanded speed in lieu of the sensed airspeed to inform flight control decisions of the UAV.
In some embodiments, techniques are provided for analyzing time series data to detect anomalies. In some embodiments, the time series data is processed using a machine learning model. In some embodiments, the machine learning model is trained in an unsupervised manner on large amounts of previous time series data, thus allowing highly accurate models to be created from novel data. In some embodiments, training of the machine learning model alternates between a fitting optimization and a trimming optimization to allow large amounts of training data that includes untagged anomalous records to be processed. Because a machine learning model is used, anomalies can be detected within complex systems, including but not limited to autonomous vehicles such as unmanned aerial vehicles. When anomalies are detected, commands can be transmitted to the monitored system (such as an autonomous vehicle) to respond to the anomaly.
In some embodiments, techniques are provided for analyzing time series data to detect anomalies. In some embodiments, the time series data is processed using a machine learning model. In some embodiments, the machine learning model is trained in an unsupervised manner on large amounts of previous time series data, thus allowing highly accurate models to be created from novel data. In some embodiments, training of the machine learning model alternates between a fitting optimization and a trimming optimization to allow large amounts of training data that includes untagged anomalous records to be processed. Because a machine learning model is used, anomalies can be detected within complex systems, including but not limited to autonomous vehicles such as unmanned aerial vehicles. When anomalies are detected, commands can be transmitted to the monitored system (such as an autonomous vehicle) to respond to the anomaly.
An example embodiment may involve flying, by an unmanned aerial vehicle (UAV), to a geographical location, where a wireless router is at the geographical location. The example embodiment may also involve detecting, by the UAV, a wireless coverage area defined by the wireless router. The example embodiment may also involve accessing, by the UAV, the wireless coverage area using a network identifier and a password. The example embodiment may also involve establishing, by the UAV, a backhaul link to a data network. The example embodiment may also involve transmitting, by the UAV, a notification to a client device served by the wireless coverage area, where the notification indicates that the UAV is a default gateway for the wireless coverage area. The example embodiment may also involve exchanging, by the UAV, data transmissions between (i) the client device, and (ii) one or more other devices accessible via the data network.
An example embodiment may involve flying, by an unmanned aerial vehicle (UAV), to a geographical location, where a wireless router is at the geographical location. The example embodiment may also involve detecting, by the UAV, a wireless coverage area defined by the wireless router. The example embodiment may also involve accessing, by the UAV, the wireless coverage area using a network identifier and a password. The example embodiment may also involve establishing, by the UAV, a backhaul link to a data network. The example embodiment may also involve transmitting, by the UAV, a notification to a client device served by the wireless coverage area, where the notification indicates that the UAV is a default gateway for the wireless coverage area. The example embodiment may also involve exchanging, by the UAV, data transmissions between (i) the client device, and (ii) one or more other devices accessible via the data network.
A rotor unit is disclosed. The rotor unit includes a hub and a stacked rotor blade. The hub is configured to rotate about an axis in a first rotation direction. The stacked rotor blade is rotatable about the axis and further includes a first blade element and a second blade element. The first blade element has a first leading edge and the second blade element has a second leading edge. The blade elements are arranged in a stacked configuration. A leading edge of the stacked rotor blade is formed by at least a portion of the first leading edge of the first blade element as well as at least as portion of the second leading edge of the second blade element. In some embodiments, the rotor unit is coupled to an unmanned aerial vehicle.
An unmanned aerial vehicle system is provided including an unmanned aerial vehicle (UAV) having a fuselage, a tether having a first end secured to a winch system positioned in the UAV and a second end secured to a payload coupling apparatus, a payload coupling apparatus receptacle positioned in the fuselage of the UAV, a payload having a handle, wherein the handle of the payload is positioned within a slot in the payload coupling apparatus. A method of securing a payload to a UAV is also provided.
Techniques are provided to improve routing of autonomous vehicles through highly congested areas. In some embodiments, routes that include sequences of timed space reservations are provided to autonomous vehicles by a route reservation system. In some embodiments, the route reservation system detects route alteration states (including but not limited to an arrival of an autonomous vehicle at a waiting area), determines a new route for the autonomous vehicle that passes through the highly congested area, and transmits the new route to the autonomous vehicle for navigating from the waiting area to an endpoint.
Techniques are provided to improve routing of autonomous vehicles through highly congested areas. In some embodiments, routes that include sequences of timed space reservations are provided to autonomous vehicles by a route reservation system. In some embodiments, the route reservation system detects route alteration states (including but not limited to an arrival of an autonomous vehicle at a waiting area), determines a new route for the autonomous vehicle that passes through the highly congested area, and transmits the new route to the autonomous vehicle for navigating from the waiting area to an endpoint.
Described herein is a method comprising (a) sending unmanned aircraft system (UAS) data providing a first UAS location indication on a map on a display of the computing device, wherein the first UAS location indication comprises an aggregate indication of a plurality of UASs located within a first area on the map, (b) receiving data comprising a request for additional information related to the first UAS location indication, (c) in response to receiving the request for additional information, sending additional location data related to the plurality of UASs, including a plurality of second UAS location indications at a plurality of locations within the first area on the map, wherein each second UAS indication corresponds to a subset of the plurality of UASs represented by the first UAS location indication, and (d) updating the display of the computing device to show the plurality of second UAS location indications.
H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
G01C 21/00 - Navigation; Navigational instruments not provided for in groups
H04W 4/42 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
The present disclosure relates to devices, systems, and methods for controlling and/or augmenting acoustic sounds emitted from flight vehicles, such as unmanned aerial vehicles (UAVs). For example, while in flight, a UAV may emit a characteristic sound or tone (or a plurality of such tones), which may be a result of propeller and/or motor noise. To mitigate such noise from UAVs, disclosed embodiments may include acoustic resonators that may provide additional tones to complement the sounds or tones emitted from the UAV. Namely, the acoustic resonators may be shaped, adjusted, or otherwise controlled to emit additional tones that form pleasing intervals in combination with the characteristic tone(s) from the UAV.
An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.
In an embodiment, one or more computer-readable storage medium comprising a plurality of instructions to cause an apparatus, in response to execution by one or more processors of the apparatus, to receive sounds emanating from one or more motors included in an unmanned aerial vehicle (UAV) during operation of the one or more motors; predict a number of operational cycles remaining before the one or more motors is to fail based on analysis of the sounds; and, based on the determination of the number of operational cycles remaining, restrict the UAV from normal use. The one or more motors comprises a vertical or horizontal propulsion motor of the UAV.
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
Unmanned aerial vehicle (UAV) navigation systems include a UAV charging pad positioned at a storage facility, a plurality of fiducial markers positioned at the storage facility, and a UAV. Each fiducial marker is associated with a fiducial dataset storing a position of the fiducial marker, and each fiducial dataset is stored in a fiducial map. The UAV has a navigation system that includes a camera, a fiducial navigation sub-system, a non-fiducial navigation sub-system, and logic that when executed causes the UAV to image a first fiducial marker with the camera, to transition from a non-fiducial navigation mode to a fiducial navigation mode, to access from the fiducial map the fiducial dataset storing the position of the first fiducial marker, and to navigate based upon the fiducial dataset storing the position of the first fiducial marker, into alignment with and land on the UAV charging pad.
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06K 7/14 - Methods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06K 7/10 - Methods or arrangements for sensing record carriers by corpuscular radiation
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
67.
DETECTING IMPENDING MOTOR FAILURE USING AUDIO DATA
In an embodiment, one or more computer-readable storage medium comprising a plurality of instructions to cause an apparatus, in response to execution by one or more processors of the apparatus, to receive sounds emanating from one or more motors included in an unmanned aerial vehicle (UAV) during operation of the one or more motors; predict a number of operational cycles remaining before the one or more motors is to fail based on analysis of the sounds; and, based on the determination of the number of operational cycles remaining, restrict the UAV from normal use. The one or more motors comprises a vertical or horizontal propulsion motor of the UAV.
Unmanned aerial vehicle (UAV) navigation systems include a UAV charging pad positioned at a storage facility, a plurality of fiducial markers positioned at the storage facility, and a UAV. Each fiducial marker is associated with a fiducial dataset storing a position of the fiducial marker, and each fiducial dataset is stored in a fiducial map. The UAV has a navigation system that includes a camera, a fiducial navigation sub-system, a non-fiducial navigation sub-system, and logic that when executed causes the UAV to image a first fiducial marker with the camera, to transition from a non-fiducial navigation mode to a fiducial navigation mode, to access from the fiducial map the fiducial dataset storing the position of the first fiducial marker, and to navigate based upon the fiducial dataset storing the position of the first fiducial marker, into alignment with and land on the UAV charging pad.
Described herein are apparatuses for passively releasing a payload of an unmanned aerial vehicle (UAV). An example apparatus may include, among other features, (i) a housing; (ii) a swing arm coupled to the housing, wherein the swing arm is operable to toggle between an open position and a closed position; (iii) a spring mechanism adapted to exert a force on the swing arm from the open position toward the closed position; (iv) a receiving system of a UAV adapted to receive the housing, wherein the receiving system causes the swing arm to be arranged in the open position; and (v) a spool operable to unwind and wind a tether coupled to the housing, wherein unwinding the tether causes a descent of the housing from the receiving system, and wherein winding the tether causes an ascent of the housing to the receiving system.
Described is a system comprising (a) a UAS registry including a plurality of UAS accounts, (b) a plurality of UAS registration computing systems operable to create UAS accounts for the UAS registry, (c) a plurality of USS computing systems that each provide service to one of a plurality of service areas within an airspace, wherein each USS computing system is operable to: (i) receive, from UAS operators, operation data for UASs operating in the service area served by the USS computing system, (ii) receive, from the other USS computing systems for the airspace, operation data for UASs operating in the other service areas served the other USS computing systems, (iii) combine the operation data received from the UAS operators, with the operation data received from the other USS computing systems, to maintain an airspace-wide UAS database, and (iv) provide a publicly accessible application interface based on the UAS database.
G08G 5/02 - Automatic landing aids, i.e. systems in which flight data of incoming planes are processed to provide landing data
G07B 15/00 - Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
H04L 67/52 - Network services specially adapted for the location of the user terminal
71.
Anticipatory dispatch of UAVs to pre-staging locations
An example method involves determining an expected demand level for a first type of a plurality of types of transport tasks for unmanned aerial vehicles (UAVs), the first type of transport tasks associated with a first payload type. Each of the UAVs is physically reconfigurable between at least a first and a second configuration corresponding to the first payload type and a second payload type, respectively. The method also involves determining based on the expected demand level for the first type of transport tasks, (i) a first number of UAVs having the first configuration and (ii) a second number of UAVs having the second configuration. The method further involves, at or near a time corresponding to the expected demand level, providing one or more UAVs to perform the transport tasks, including at least the first number of UAVs.
An example system includes an aerial vehicle, a sensor, and a winch system. The winch system includes a tether disposed on a spool, a motor operable to apply a torque to the tether, and a payload coupling apparatus coupled to the tether and configured to mechanically couple to a payload. The system also includes a repositioning apparatus configured to reposition the payload coupling apparatus in at least a horizontal direction. A control system is configured to control the aerial vehicle to deploy the payload coupling apparatus by unwinding the tether from the spool; receive, while the aerial vehicle hovers above the payload and from the sensor, data indicative of a position of the payload coupling apparatus in relation to the payload; and reposition, using the repositioning apparatus and based on the data, the payload coupling apparatus in the horizontal direction to mechanically couple to the payload.
Systems and methods for dual-technology air traffic tracking are disclosed. An autonomous aerial vehicle (AAV) may include a low-power dual-technology transponder configured for transmitting real-time tracking data of the AAV in outbound tracking messages, using both first and second transmission technologies specified for operation within a common flight tracking system. The AAV may further include a global positioning satellite (GPS) system, one or more processors, and memory storing instructions for carrying out dual-technology tracking. Operations may include determining real-time tracking data of the AAV from the GPS system, and broadcasting outbound tracking messages alternatingly in time using the first and second technologies in ping-pong fashion, the outbound tracking messages including the determined real-time tracking data and an identifier of the AAV. The tracking data may include location of the AAV. In an example embodiment, the common tracking system may be ADS-B and the two technologies may be 1090ES and UAT.
Examples implementations relate to determining path confidence for a vehicle. An example method includes receiving a request for a vehicle to navigate a target location. The method further includes determining a navigation path for the vehicle to traverse a first segment of the target location based on a plurality of prior navigation paths previously determined for traversal of segments similar to the first segment of the target location. The method also includes determining a confidence level associated with the navigation path. Based on the determined confidence level, the method additionally includes selecting a navigation mode for the vehicle from a plurality of navigation modes corresponding to a plurality of levels of remote assistance. The method further includes causing the vehicle to traverse the first segment of the target location using a level of remote assistance corresponding to the selected navigation mode for the vehicle.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
B62D 1/28 - Steering controls, i.e. means for initiating a change of direction of the vehicle not vehicle-mounted non-mechanical
G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
B60K 31/00 - Vehicle fittings, acting on a single sub-unit only, for automatically controlling vehicle speed, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operat
G05D 1/02 - Control of position or course in two dimensions
The present disclosure relates to devices, systems, and methods for controlling and/or augmenting acoustic sounds emitted from flight vehicles, such as unmanned aerial vehicles (UAVs). For example, while in flight, a UAV may emit a characteristic sound or tone (or a plurality of such tones), which may be a result of propeller and/or motor noise. To mitigate such noise from UAVs, disclosed embodiments may include acoustic resonators that may provide additional tones to complement the sounds or tones emitted from the UAV. Namely, the acoustic resonators may be shaped, adjusted, or otherwise controlled to emit additional tones that form pleasing intervals in combination with the characteristic tone(s) from the UAV.
Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.
G05D 1/02 - Control of position or course in two dimensions
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
A payload retrieval apparatus including an extending member having an upper end and a lower end, a channel having a first end and a second end, the channel coupled to the extending member, a first tether engager that extends in a first direction from the first end of the channel section, and a payload holder positioned near the second end of the channel and is adapted to secure a payload.
An aerial vehicle is provided including rotor units connected to the aerial vehicle, and a control system configured to operate at least one of the rotor units. The rotor unit includes rotor blades, wherein each rotor blade includes a surface area, and wherein an asymmetric parameter is defined, at least in part, by the relationship between the surface areas of the rotor blades. The value of the asymmetric parameter is selected such that the operation of the rotor unit: (i) moves the rotor blades such that each rotor blade produces a respective vortex and (ii) the respective vortices cause the rotor unit to produce a sound output having an energy distribution defined, at least in part, by a set of frequencies, wherein the set of frequencies includes a fundamental frequency, one or more harmonic frequencies, and one or more non-harmonic frequencies having a respective strength greater than a threshold strength.
An example UAV landing structure includes a landing platform for a UAV, a cavity within the landing platform, and a track that runs along the landing platform and at least a part of the cavity. The UAV may include a winch system that includes a tether that may be coupled to a payload. Furthermore, the cavity may be aligned over a predetermined target location. The cavity may be sized to allow the winch system to pass a tethered payload through the cavity. The track may guide the UAV to a docked position over the cavity as the UAV moves along the landing platform. When the UAV is in the docked position, a payload may be loaded to or unloaded from the UAV through the cavity.
An unmanned aerial vehicle (UAV) includes one or more sources of propulsion coupled to provide propulsion to the UAV, and a power source coupled to power the one or more sources of propulsion. A communication system is coupled to communicate with an external device, and a controller is coupled to the communication system, the power source, and the one or more sources of propulsion. The controller includes logic that when executed by the controller causes the UAV to perform operations, including: measuring a status of the UAV; sending the status of the UAV to the external device; receiving movement instructions from the external device; and engaging the one or more sources of propulsion to move the UAV from a first location to a second location within a storage facility.
Systems and methods for dual-technology air traffic tracking are disclosed. An autonomous aerial vehicle (AAV) may include a low-power dual-technology transponder configured for transmitting real-time tracking data of the AAV in outbound tracking messages, using both first and second transmission technologies specified for operation within a common flight tracking system. The AAV may further include a global positioning satellite (GPS) system, one or more processors, and memory storing instructions for carrying out dual-technology tracking. Operations may include determining real-time tracking data of the AAV from the GPS system, and broadcasting outbound tracking messages alternatingly in time using the first and second technologies in ping-pong fashion, the outbound tracking messages including the determined real-time tracking data and an identifier of the AAV. The tracking data may include location of the AAV. In an example embodiment, the common tracking system may be ADS-B and the two technologies may be 1090ES and UAT.
In an embodiment, an apparatus includes a plurality of electrical contacts, wherein first and second electrical contacts of the plurality of electrical contacts electrically couple with a charging device; one or more rechargeable batteries configured to be charged from power received, via the first and second electrical contacts, from the charging device; and circuitry configured to obtain battery state information associated with the one or more rechargeable batteries during charging of the one or more rechargeable batteries and generate battery charge rate data based on the battery state information. At least one of the first and second electrical contacts is configured to transmit the battery charge rate data to the charging device, and the battery charge rate data is configured to be used by the charging device to regulate charging of the one or more rechargeable batteries.
B60L 58/18 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
B60L 53/10 - Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 27/24 - Aircraft characterised by the type or position of power plant using steam, electricity, or spring force
An example embodiment may involve flying, by an unmanned aerial vehicle (UAV), to a geographical location, where a wireless router is at the geographical location. The example embodiment may also involve detecting, by the UAV, a wireless coverage area defined by the wireless router. The example embodiment may also involve accessing, by the UAV, the wireless coverage area using a network identifier and a password. The example embodiment may also involve establishing, by the UAV, a backhaul link to a data network. The example embodiment may also involve transmitting, by the UAV, a notification to a client device served by the wireless coverage area, where the notification indicates that the UAV is a default gateway for the wireless coverage area. The example embodiment may also involve exchanging, by the UAV, data transmissions between (i) the client device, and (ii) one or more other devices accessible via the data network.
In an embodiment, an apparatus includes a plurality of electrical contacts, wherein first and second electrical contacts of the plurality of electrical contacts electrically couple with a charging device; one or more rechargeable batteries configured to be charged from power received, via the first and second electrical contacts, from the charging device; and circuitry configured to obtain battery state information associated with the one or more rechargeable batteries during charging of the one or more rechargeable batteries and generate battery charge rate data based on the battery state information. At least one of the first and second electrical contacts is configured to transmit the battery charge rate data to the charging device, and the battery charge rate data is configured to be used by the charging device to regulate charging of the one or more rechargeable batteries.
An unmanned aerial vehicle (UAV) includes one or more sources of propulsion, a power source, and communication system. The UAV also includes a controller coupled to the communication system, the power source, and the one or more sources of propulsion. The controller includes logic that when executed by the controller causes the UAV to perform operations, including measuring a power source charge level of the UAV; sending a signal including the power source charge level of the UAV to an external device; receiving movement instructions from the external device; and engaging the one or more sources of propulsion to move the UAV from a first location on a storage rack to a second location within a storage facility.
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 27/24 - Aircraft characterised by the type or position of power plant using steam, electricity, or spring force
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
B60L 53/30 - Constructional details of charging stations
An unmanned aerial vehicle (UAV) includes one or more sources of propulsion, a power source, and communication system. The UAV also includes a controller coupled to the communication system, the power source, and the one or more sources of propulsion. The controller includes logic that when executed by the controller causes the UAV to perform operations, including measuring a power source charge level of the UAV; sending a signal including the power source charge level of the UAV to an external device; receiving movement instructions from the external device; and engaging the one or more sources of propulsion to move the UAV from a first location on a storage rack to a second location within a storage facility.
An unmanned aerial vehicle (UAV) includes one or more sources of propulsion coupled to provide propulsion to the UAV, and a power source coupled to power the one or more sources of propulsion. A communication system is coupled to communicate with an external device, and a controller is coupled to the communication system, the power source, and the one or more sources of propulsion. The controller includes logic that when executed by the controller causes the UAV to perform operations, including: measuring a status of the UAV; sending the status of the UAV to the external device; receiving movement instructions from the external device; and engaging the one or more sources of propulsion to move the UAV from a first location to a second location within a storage facility.
A computer implemented method of distributing noise exposures to unmanned aerial vehicles (UAVs) over a neighborhood includes: accessing a noise exposure map stored in a database and generating a new flight path over the neighborhood for a first UAV of the UAVs based at least in part on the noise exposure map. The noise exposure map includes noise exposure values indexed to locations within the neighborhood. Each of the noise exposure values quantifies a cumulative noise exposure of a corresponding one of the locations due at least in part to historical flight paths of the UAVs over the neighborhood.
Embodiments relate to a client-facing application for interacting with a transport service that transports items via unmanned aerial vehicles (UAVs). An example graphic interface may allow a user to order items to specific delivery areas associated with their larger delivery location, and may dynamically provide status updates and other functionality during the process of fulfilling a UAV transport request.
G06Q 10/08 - Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
B64D 1/08 - Dropping, ejecting, or releasing articles the articles being load-carrying devices
G01C 21/16 - Navigation; Navigational instruments not provided for in groups by using measurement of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
An unmanned aerial vehicle (UAV) is provided including a fuselage, a pair of wings extending outwardly from the fuselage, and a deployable surface moveable from a first undeployed position during normal flight to a second deployed position when there is a system failure during flight. A method of adjusting a center of pressure of a UAV is also provided including the steps of providing a UAV with a fuselage, a pair of wings extending outwardly from the fuselage, and a deployable surface moveable from a first undeployed position during normal flight to a second deployed position when there is a system failure during flight, sensing when there is a system failure, and moving the deployable surface from the first undeployed position to the second deployed position.
An unmanned aerial vehicle (UAV) is provided including a fuselage, a pair of wings extending outwardly from the fuselage, and a deployable surface moveable from a first undeployed position during normal flight to a second deployed position when there is a system failure during flight. A method of adjusting a center of pressure of a UAV is also provided including the steps of providing a U AV with a fuselage, a pair of wrings extending outwardly from the fuselage, and a deployable surface moveable from a first undeployed position during norma! flight to a second deployed position when there is a system failure during flight, sensing when there is a system failure, and moving the deployable surface from the first undeployed position to the second deployed position.
An apparatus and method for transporting a payload are disclosed herein. In embodiments, a system for transporting a payload includes an unmanned aerial vehicle (UAV) including a payload coupling apparatus, and a containment apparatus having an aerodynamic shape and including first and second openings. The containment apparatus is located external to the UAV and attaches to an underside of the UAV. The payload coupling apparatus passes through the first and second openings of the containment apparatus to couple with the payload, and the payload passes through the second opening to be positioned inside or outside the containment apparatus.
An apparatus and method for transporting a payload are disclosed herein. In embodiments, a system for transporting a payload includes an unmanned aerial vehicle (UAV) including a payload coupling apparatus, and a containment apparatus having an aerodynamic shape and including first and second openings. The containment apparatus is located external to the UAV and attaches to an underside of the UAV. The payload coupling apparatus passes through the first and second openings of the containment apparatus to couple with the payload, and the payload passes through the second opening to be positioned inside or outside the containment apparatus.
Embodiments relate to a client-facing application for interacting with a transport service that transports items via unmanned aerial vehicles (UAVs). An example graphic interface may allow a user to order items to specific delivery areas associated with their larger delivery location, and may dynamically provide status updates and other functionality during the process of fulfilling an aerial vehicle transport request.
B64D 45/00 - Aircraft indicators or protectors not otherwise provided for
G01C 23/00 - Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration
B64C 39/02 - Aircraft not otherwise provided for characterised by special use
G06Q 10/08 - Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
Described herein are methods and systems that help facilitate the summoning and loading of a pickup and delivery unmanned aerial vehicle (UAV). In particular, a computing system may display a graphical interface including an interface feature that indicates UAV assignments. That computing system may receive a message including a UAV identifier that identifies a particular UAV assigned to a particular item based on a UAV-assignment request for the particular item. And the computing system may use the received UAV identifier as a basis for displaying, on the graphical interface, (i) a graphical identifier of the particular UAV assigned to the particular item based on the UAV-assignment request for the particular item and (ii) a graphical identifier of the particular item.
09 - Scientific and electric apparatus and instruments
12 - Land, air and water vehicles; parts of land vehicles
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for browsing and purchasing consumer
goods for delivery; navigation apparatus for autonomous
aircrafts and drones; GPS navigation device for autonomous
aircrafts and drones; downloadable software for operating,
maintaining, monitoring, logging, and navigating drones and
autonomous aircraft. Drones; autonomous aircraft; unmanned aerial vehicles. Management of autonomous aircraft and drone navigation in
the nature of traffic flow through advanced communications
network and technology; routing of autonomous aircraft and
drones by computer on data networks; aeronautic navigation
services, namely, aeronautic radio navigation services; GPS
navigation services for autonomous aircrafts and drones; air
navigation services for autonomous aircrafts and drones. Providing on-line non-downloadable software for browsing and
purchasing consumer goods for delivery; software as a
service (SAAS) services featuring software for browsing and
purchasing consumer goods for delivery; providing on-line
non-downloadable software for operating, maintaining,
monitoring, logging, and navigating drones and autonomous
aircraft; software as a service (SAAS) services featuring
software for operating, maintaining, monitoring, logging,
and navigating drones and autonomous aircraft.
97.
Backup navigation system for unmanned aerial vehicles
Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.
A propulsion unit includes a motor rotor, propeller blades, and a pivot stop. The motor rotor spins about a central rotational axis. The propeller blades, including first and second propeller blades, each having a proximal base mounted to the motor rotor such that the propeller blades are rotatable about the central rotational axis. The second propeller blade is pivotally attached to the motor rotor to pivot about the central rotational axis independent of the motor rotor by a limited angle. The pivot stop mechanically limits an amount of pivoting of the second propeller blade relative to the first propeller blade.
09 - Scientific and electric apparatus and instruments
39 - Transport, packaging, storage and travel services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable software for browsing and purchasing consumer goods for delivery; navigation apparatus for autonomous aircrafts and drones in the form of global positioning system transmitters and receivers; GPS navigation device for autonomous aircrafts and drones; downloadable software for operating, maintaining, monitoring, logging, and navigating drones and autonomous aircraft (1) Management of autonomous aircraft and drone navigation in the nature of traffic flow through advanced communications network and technology; routing of autonomous aircraft and drones by computer on data networks; aeronautic navigation services, namely, aeronautic radio navigation services; GPS navigation services for autonomous aircrafts and drones; air navigation services for autonomous aircrafts and drones.
(2) Providing on-line non-downloadable software for browsing and purchasing consumer goods for delivery; software as a service (SAAS) services featuring software for browsing and purchasing consumer goods for delivery; providing on-line non-downloadable software for operating, maintaining, monitoring, logging, and navigating drones and autonomous aircraft; software as a service (SAAS) services featuring software for operating, maintaining, monitoring, logging, and navigating drones and autonomous aircraft.
A modular housing structure for housing a plurality of unmanned aerial vehicles (UAVs) includes a plurality of housing segments and a plurality of landing pads. The plurality of housing segments are shaped to mechanically join together to define an interior of the modular housing structure. The individual housing segments have a common structural shape that repeats when assembled to form the modular housing structure. The plurality of landing pads are positioned within the individual housing segments, each of the landing pads sized to physically support and charge a corresponding one of the UAVs.
