An unmanned aerial vehicle includes an imaging camera configured to capture the image of an object to be inspected, an object detecting unit configured to detect a relative position of the object to be inspected, a camera angle adjusting unit configured to control the angle of an image capturing direction of the imaging camera on the basis of the relative position detected by the object detecting unit, a determination unit configured to determine whether the image of the object to be inspected is moved out of a video frame of the imaging camera during an image capture operation performed by the imaging camera, and a storage unit configured to store image capture failure information including the result of determination if the determination unit determines that the image of the object is moved out of the video frame.

A registration authority (RA) server registers unmanned aerial vehicles (UAVs) and their owners/operators (O/O). A UAV is maintained in a flight lock state until a flight plan request from the O/O is approved by the RA, which sends an key-signed approval to unlock the UAV's flight lock. The RA server evaluates a UAV's proposed flight plan based on the attributes of the O/O and UAV, the location and time of the requested flight plan, and a set of flight rules and exclusion zones that are developed in view of privacy assurance, security assurance, flight safety assurance, and ground safety assurance. The flight plan key-signed approval supplied to the UAV by the RA server specifies an inclusion zone that corresponds to a flight plan trajectory to be followed. Once in flight, the UAV maintains real-time knowledge of its position and time to ensure its flight remains within the approved inclusion zone.

A flight controller of a drone calculates a target attitude of the drone on a port based on the result of acquisition by an anemometer. The flight controller of the drone controls each of a plurality of rotors independently, and controls each of the rotors so as to make the drone on the port take a target attitude.

An aerial vehicle including a set of rotors, a processor configured to configured to control the set of rotors for aerial vehicle flight, and a housing defining a plurality of cooling channels, wherein, for each rotor of the set, a projection of the processor and the cooling channels onto the respective rotor plane does not intersect the swept area of the rotor, and a distance from the rotor axis of a first rotor of the set to a cooling channel is less than 75% of a rotor diameter of the first rotor. A method for aerial vehicle operation, including providing an aerial vehicle including a rotor, a processor, and a housing, flying the aerial vehicle, and, while flying the aerial vehicle, actively cooling the processor, including, at the rotor, forcing airflow toward the processor.

A method and a device for setting a flight route are provided. The method comprises acquiring route data of an aerial vehicle, determining waypoint coordinates in the route data, configuring a route display interface according to maximum distances between the determined waypoint coordinates, displaying a route of the aerial vehicle in the configured route display interface according to waypoint coordinates in the route data, and resetting the route displayed in the route display interface according to edit information corresponding to a received edit operation to obtain updated route data of the aerial vehicle.

A system to provide privacy from third party vehicles includes a radio circuit configured to send a privacy indication in a beacon frame; and a movable device including a radio circuit to receive the beacon frame and a motor actuator controlled to comply with the privacy indication.

Described herein are systems for roof scan using an unmanned aerial vehicle. For example, some methods include capturing, using an unmanned aerial vehicle, an overview image of a roof of a building from above the roof; presenting a suggested bounding polygon overlaid on the overview image to a user; determining a bounding polygon based on the suggested bounding polygon and user edits; based on the bounding polygon, determining a flight path including a sequence of poses of the unmanned aerial vehicle with respective fields of view at a fixed height that collectively cover the bounding polygon; fly the unmanned aerial vehicle to a sequence of scan poses with horizontal positions matching respective poses of the flight path and vertical positions determined to maintain a consistent distance above the roof; and scanning the roof from the sequence of scan poses to generate a three-dimensional map of the roof.

In one embodiment, a method includes receiving flight path data regarding the presence of an unmanned aerial vehicle (UAV) at a location at a future time, detecting the presence of the UAV at the location at the future time, determining radio identity data of the UAV using a radio mode of identification, determining optical identity data of the UAV using an optical mode of identification, and certifying the UAV based on a comparison of the radio identity data and the optical identity data to the flight path data.

A method, system, and/or computer program product controls operations of an aerial drone within a predetermined airspace. A drone controller device detects a presence of an aerial drone. The drone controller device and the aerial drone negotiate permission to fly within a predetermined airspace under a predefined aerial drone state. In response to successfully negotiating the permission, the drone controller device enables a drone on-board computer to operate the aerial drone within the predetermined airspace in accordance with the predefined aerial drone state.

The present disclosure relates to an inertia measurement module for an unmanned aircraft, which comprises a housing assembly, a sensing assembly and a vibration damper. The vibration damper comprises a first vibration-attenuation cushion; and the sensing assembly comprises a first circuit board, a second circuit board and a flexible signal line for connecting the first circuit board and the second circuit board. An inertia sensor is fixed on the second circuit board, and the first circuit board is fixed on the housing assembly. The inertia measurement module further comprises a weight block, and the second circuit board, the weight block, the first vibration-attenuation cushion and the first circuit board are bonded together. The present disclosure greatly reduces the influence of the operational vibration frequency of the unmanned aircraft on the inertia sensor and improves the measurement stability of the inertia sensor.