Abstract: A gimbal handle includes an enclosure including an accommodation space, a main control board accommodated in the accommodation space, and an electrical contact member provided at the main control board and electrically connected to the main control board. The electrical contact member penetrates the enclosure to expose to an outside of the enclosure. The electrical contact member is configured to be electrically connected to an adapter.

Abstract: A shooting control method includes determining a handheld gimbal is in a selfie mode, determining a target object, controlling a shooting device of the handheld gimbal to track and shoot the target object according to the target object, determining position information of the target object in a shooting image according to the target object, adjusting a control parameter of the shooting device according to the position information of the target object in the shooting image, to enable the shooting device to shoot the target object in a preset configuration to obtain the shooting image, and displaying the shooting image.

Abstract: The present disclosure provides a flying body for detecting a living body. The flying body includes a sensor unit, that detects living body information related to the living body; a support component, that supports the sensor unit and is retractable; a gimbal, that rotatably supports the support component; a processing unit, that performs processing related to detection of the living body information; and a camera unit, that captures images. The processing unit makes the camera unit capture an image of an investigation area, controls the flight of the flying body such that the flying body approaches the investigation area, makes the support component extend to an investigation target located in the investigation area, and makes the sensor unit, which is supported by the gimbal supported by the extended support component, detect the living body information.

Abstract: A positioning mechanism includes a base including a landing area and a guide member movably arranged at the landing area and configured to guide a moving object. The landing area includes a positioning portion. The guide member is configured to be in a non-operating state or an operating state relative to the base. A form of the guide member in the non-operating state is different from the form of the guide member in the operating state.

Abstract: A rotor-wing assembly includes a motor, a propeller, and a connection assembly connecting the propeller to the motor. The motor includes a rotating portion. The connection assembly includes a locking member and a reinforcing member arranged between the propeller and the motor. The locking member locks the propeller to the rotating portion. A first end of the reinforcing member is mounted at the rotating portion. A second end of the reinforcing member opposite to the first end is engaged with the locking member, to reinforce the locking member to lock the propeller to the rotating portion.

Abstract: A computer-implemented method for tracking includes obtaining an infrared image and a visible image from an imaging device supported by a carrier of an unmanned aerial vehicle (UAV), obtaining a combined image based on the infrared image and the visible image, identifying a target in the combined image, and generating control signals for tracking the identified target using the imaging device.

Abstract: A location processing device includes a selection member configured to select multiple flight vehicles to form a flight group. The location processing device also includes a determination member configured to determine first relative location information of the multiple flight vehicles of the flight group while instructing an operation device configured to control the multiple flight vehicles to perform operations.

Abstract: A method for determining an altitude of a moving object includes obtaining pressure-dependent data from a plurality of sensors and computing the altitude of the moving object based on the pressure-dependent data from the plurality of sensors. Each of the sensors is mounted on the moving object with a respective primary orientation direction, and the primary orientation directions of at least two of the sensors are different.

Abstract: The present disclosure provides a control device. The control device is configured to control a rotation mechanism to rotatably hold a camera device. The control device includes a processor configured to execute a program to: determine a mounting state of a mounting member mounted on a support mechanism supporting the rotation mechanism; determine a rotation range of the camera device coupled to the rotation mechanism based on the mounting state of the mounting member; and control a rotation of the camera device based on the rotation range.

Abstract: A control terminal for controlling an unmanned aerial vehicle (UAV) includes a processor and a storage medium storing instructions that, when executed by the processor, cause the processor to render an image on a user interface of the control terminal. The image is captured by an imaging device coupled to the UAV and is associated with a view of the imaging device. The instructions further cause the processor to detect, via the user interface, a gesture-based input including one or more reference points in the image and indicating a view change of the imaging device, determine a type of the gesture-based input by analyzing the one or more reference points, and generate control data based on the type of the gesture-based input to control at least one of the UAV or the imaging device for the view change of the imaging device.

Abstract: An aerial vehicle control method includes detecting a flight control instruction during returning of an aerial vehicle to a return point along a return trajectory according to an auto return instruction. The flight control instruction determines a predetermined trajectory different from the return trajectory. The method further includes generating a superimposed instruction by superimposing return point position information indicating the return point and the flight control instruction. The superimposed instruction determines a flight trajectory that is an integration of the return trajectory and the predetermined trajectory and that is different from the return trajectory and the predetermined trajectory. The method also includes controlling the aerial vehicle to fly along the flight trajectory according to the superimposed instruction.

Abstract: The present disclosure provides a following control method. The method includes receiving and displaying an acquired image acquired by an imaging device of an unmanned aerial vehicle (UAV); detecting a user's selection operation on two or more objects in the image; determining a following instruction based on the detected selection operation; and controlling the UAV to follow the two or more followed objects indicated by the following instruction so that the two or more followed objects are in an imaging frame of the imaging device.

Abstract: Mappings of keys to actions can automate various vehicle systems. Some automations can provide lane departure warnings. Keys for lane departure mappings can specify vibration patterns expected when a vehicle drives over lane delineators. These vibration-based mappings can include keys with vibration patterns, e.g., defining vibration frequencies or vibration locations. Keys for emergency light mappings can be based on conditions such as (1) the vehicle being on the road, stopped, not in traffic, and not at a stop signal; (2) components of the vehicle having failed; or (3) weather conditions.

Abstract: A propulsion assembly for an unmanned aerial vehicle (UAV) includes a motor configured to rotate in a first direction, a propeller seat configured to be driven by the motor to rotate in the first direction and to receive a propeller, and a sensor configured to collect sensing data useful for determining whether the propeller is locked to the propeller seat, without requiring operation of the motor.

Abstract: A system for collecting information regarding a flight restriction region includes one or more processors and a non-transitory computer readable storage medium storing instructions that, when executed by the one or more processors, cause the one or more processors to individually or collectively receive an input specifying a location of the flight restriction region from a user via a user input device, obtain information associated with the flight restriction region from one or more external data sources based on the location, and determine a space of the flight restriction region based on the information associated with the flight restriction region.

Abstract: A video processing method includes dividing a coding tree unit into one or more coding units using a quadtree plus binary tree division method, dividing a coding unit into one or more sub-blocks, determining a specific neighboring image block of the coding unit having a reference image same as a co-located reference image of the coding unit, determining a related reference block of the coding unit in the co-located reference image according to a motion vector of the specific neighboring image block, dividing the related reference block into several related reference sub-blocks, determining a scaling factor of a motion vector of the related reference sub-block in different manners according to whether that motion vector points to a short-term reference image or a long-term reference image, scaling that motion vector using the scaling factor, and performing prediction for the coding unit according to the scaled motion vector.

Abstract: A video processing method includes dividing a coding tree unit into one or more coding units using a quadtree plus binary tree division method, determining a specific neighboring image block of a coding unit having a reference image same as a co-located reference image of the coding unit, determining a related reference block of the coding unit in the co-located reference image according to a motion vector of the specific neighboring image block, dividing the related reference block into several related reference sub-blocks, and performing prediction for the coding unit according to scaled or unscaled motion vector of the related reference sub-block depending on whether the motion vector of the related sub-block points to a short-term or a long-term reference image.