A delivery method for a traveling vehicle using a drone includes: transmitting, by an orderer, first information including position information of a vehicle to a server and providing, by the server, a position and an inventory of service providers, which correspond to the first information including the position information of the vehicle, to the orderer; requesting, by the server, service provision to the service provider; transmitting, by the service provider, second information including article preparation information to the server; transmitting, by the server, third information including a plurality pieces of receipt position information, which corresponds to the first information including the position information of the vehicle and the second information including the article preparation information, to the orderer; transmitting, by the orderer, a value selected by receiving the third information including the plurality pieces of receipt position information to the server; transmitting, by the server, the selected value to a selected service provider; loading, by the selected service provider, an article of the orderer on a drone and instructing the drone to move to correspond to the third information including the plurality pieces of receipt position information; and receiving, by the orderer, the ordered article.

An unmanned aerial vehicle (UAV) logs first UAV information at a first frequency. The UAV triggers a camera associated with the UAV to capture an image. In response to triggering the camera to capture the image, the UAV logs second UAV information at a second frequency that is higher than the first frequency. A device that is separate from the UAV identifies a location of the UAV corresponding to the image based on a capture timestamp of the image received from the camera, the first UAV information, and the second UAV information. The device generates a geo-rectified imagery based on the image and the location of the UAV.

A method for monitoring an unmanned aerial vehicle (UAV) includes a processor obtaining a datagram based on monitoring data for a UAV-detector communication between the UAV and one or more detectors. The monitoring data indicates at least one of a location of the UAV or a location of a control station in communication with the UAV. The method further includes determining a risk level by retrieving pre-stored risk information associated with the UAV based on the datagram.

According to the present invention there is provided a method of taking a measurement using a sensor mounted on an aerial vehicle, the aerial vehicle having one or more propellers and one or more motors which are selectively operable to drive the one or more propellers to rotate to cause the vehicle to fly, and a sensor mounted on the aerial vehicle, the method comprising the steps of, operating the one or more motors to drive the one or more propellers to cause the vehicle to fly; at a first time instant, slowing down or turning off said one or more motors; while the one or more motors are slowed down or turned off, taking a measurement using said sensor; at a second time instant, which is after the measurement has been taken using the sensor, operating the one or more motors again to drive the one or more propellers to cause the vehicle to fly. There is further provided a corresponding aerial vehicle.

An aerial vehicle is provided. The aerial vehicle can include a plurality of sensors mounted thereon, an avionics system configured to operate at least a portion of the aerial vehicle, and a machine vision controller in operative communication with the avionics system and the plurality of sensors. The machine vision controller is configured to perform a method. The method includes obtaining sensor data from at least one sensor of the plurality of sensors, determining performance data from the avionic system or an additional sensor of the plurality of sensors, processing the sensor data based on the performance data to compensate for movement of the unmanned aerial vehicle, identifying at least one geographic indicator based on processing the sensor data, and determining a geographic location of the aerial vehicle based on the at least one geographic indicator.

Drone-based inventory management method and systems. One embodiment provides a drone-based inventory management system including one or more unmanned aerial vehicles (UAVs), and a central management system having an electronic processor, and a transceiver configured to communicate with the one or more UAVs. The electronic processor is configured to determine a discrepancy in inventory and select a UAV for verification. The electronic processor is also configured to determine whether weather permits UAV operation and operate the UAV in a pre-determined route when the weather permits UAV operation. The electronic processor is further configured to capture images using the UAV and determine new inventory based on captured images. The electronic processor is also configured to update inventory based on the new inventory.

An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.

A wing mounting, comprising: ⋅a base (11); ⋅a wing bracket (25) pivotally mounted to the base, configured to rotate relative to the base within an operational angular range; and ⋅at least one biasing element configured to bias the wing bracket away from the boundaries of the operational angular range, wherein the at least one biasing element (120) is configured to bias the wing bracket within a biasing range adjacent the respective boundaries of the operational angular range, but substantially not to bias the wing bracket within an inner angular range including the middle of the operational angular range.

A thrust generator comprising: a motor (17), and a wing mounting (10), comprising a base (11) and a wing (2, 20), the base connected to the motor and configured to rotate the wing mounting about a stroke axis (13) within an angular stroke range, wherein the wing comprises a wing panel (24) having a first longitudinal edge (5) and a second longitudinal edge (6), the wing panel defining a wing surface (4) between the first and second longitudinal edges, and wherein the wing panel is configurable between: a first configuration in which the first longitudinal edge of the wing panel defines a leading edge and the second longitudinal edge of the wing panel defines a trailing edge; and a second configuration in which the second longitudinal edge of the wing panel defines a leading edge and the first longitudinal edge of the wing panel defines a trailing edge, the thrust generator being configured to rotate the wing mounting about the stroke axis in a first direction when the wing panel is in the first configuration and to rotate the base about the stroke axis in a second direction when the wing panel is in the second configuration.

In some examples, a computing device receives, from an unmanned aerial vehicle (UAV), a first image from a first camera on the UAV and a plurality of second images from a plurality of second cameras on the UAV. The plurality of second cameras may be positioned on the UAV for providing a plurality of different fields of view in a plurality of different directions around the UAV. Further, the first camera has a longer focal length than the second cameras. The computing device presents, on a display, a composite image including at least a portion of the first image within a merged image generated from the plurality of second images. The presented composite image enables a user to at least one of: zoom out from the at least one first image to the merged image, or zoom in from the merged image to the at least one first image.