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: A computation load distribution method includes determining a processing task associated with a mobile vehicle, and determining one or more processing resources for performing the processing task based at least partially on characteristics of the processing task. Determining the one or more processing resources includes determining whether to perform the processing task locally at the mobile vehicle and/or remotely at a remote terminal.

Abstract: A photographing control method includes obtaining a plurality sets of shooting information including shooting location information and shooing angle information for a target object, and determining location estimation information for the target object based on at least two sets of shooting information selected from the plurality sets of shooting information. The shooting location information in the at least two sets of shooting information corresponds to different locations. The method further includes generating a shooting adjustment instruction based on the location estimation information, and adjusting a shooting angle of a photographing device according to the shooting adjustment instruction to place a location corresponding to the location estimation information within a viewing angle of the photographing device.

Abstract: An imagery method includes obtaining a plurality of images of an object captured using one or more imaging devices within a period of time while the object is being tracked, performing motion and/or state estimation of the object for the period of time, and selecting one or more images related to a moment from the plurality of images based on the motion and/or state estimation of the object.

Abstract: A flight control method includes determining a distance of a target relative to an aircraft based on a depth map acquired by an imaging device carried by the aircraft, determining an orientation of the target relative to the aircraft, and controlling flight of the aircraft based on the distance and the orientation.

Abstract: A method includes obtaining an image frame captured by an imaging device carried by an unmanned vehicle and containing the target object, extracting one or more features of a target object from a region selected by a user on the image frame, and determining whether the target object is a predetermined recognizable object type based on a comparison of the one or more features with one or more characteristics associated with the predetermined recognizable object type. In response to the target object being the predetermined recognizable object type, tracking functions associated with the predetermined recognizable object type are initiated. In response to the target object not belonging to the predetermined recognizable object type, tracking functions associated with a general object type are initiated.

Abstract: A method for acquiring depth information of a target object and a movable platform are provided. A capturing device and a depth sensor are configured at a body of the movable platform. The method includes acquiring first region indication information of the target object, where the first region indication information is configured to indicate an image region of the target object in an image outputted by the capturing device; and acquiring the depth information of the target object from a depth image outputted by the depth sensor according to the first region indication information.

Abstract: An image processing method includes obtaining an image frame through an imaging device over a period of time. The image frame includes a plurality of groups of pixels that are exposed to light at different time points within the period of time. The method further includes obtaining attitude information of the imaging device during the period of time, deriving positional state of an individual group of pixels in the plurality of groups of pixels based on the attitude information of the imaging device, and processing the image frame using the positional state.

Abstract: A control method for controlling UAV includes obtaining an image captured by a photographing device, determining a location of a target object hand in the image, determining location information of the hand of the target object based on the location of the hand in the image, and controlling the UAV based on the location information of the hand of the target object.

Abstract: A method is provided for controlling flight of an aircraft carrying an imaging device. The method includes obtaining an environment image captured by the imaging device. The method also includes determining a characteristic part of a target user based on the environment image, determining a target image area based on the characteristic part, and recognizing a control object of the target user in the target image area. The method further includes generating a control command based on the control object to control the flight of the aircraft.

Abstract: A method includes obtaining an image frame captured by an imaging device carried by an unmanned vehicle and containing the target object, extracting one or more features of a target object from a region selected by a user on the image frame, and determining whether the target object is a predetermined recognizable object type based on a comparison of the one or more features with one or more characteristics associated with the predetermined recognizable object type. If the target object is the predetermined recognizable object type, tracking functions associated with the predetermined recognizable object type are initiated. IF the target object does not belong to the predetermined recognizable object type, tracking functions associated with a general object type are initiated.

Abstract: A system 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 receive image data from a camera coupled to the UAV that is associated with a first view of the camera, send the image data in real time to a client device, and receive control data from the client device. The control data is associated one or more reference coordinates corresponding to a gesture-based input indicating a change from the first view to a second view of the camera. The gesture-based input is associated with at least one region of the image data. The instructions further cause the processor to control the UAV to change at least one of a position or an attitude of the UAV based on the control data.

Abstract: An image processing method includes obtaining an image frame through an imaging device over a period of time. The image frame includes a plurality of groups of pixels that are exposed to light at different time points within the period of time. The method further includes obtaining attitude information of the imaging device during the period of time, deriving positional state of an individual group of pixels in the plurality of groups of pixels based on the attitude information of the imaging device, and processing the image frame using the positional state.

Abstract: The present disclosure provides a focusing method for an electronic device having a camera. The focusing method includes while capturing a target scene, determining a change in a relative position between the electronic device and the target scene. The relative position includes a distance between the electronic device and the target scene and/or an orientation of the target scene with respect to the electronic device. The focusing method further includes determining a focusing scheme according to the change in the relative position between the electronic device and the target scene; and focusing on an object to be tracked and photographed according to the determined focusing scheme. The object to be tracked and photographed is a part of the target scene.

Abstract: The disclosure provides a synthesis method of 2,4,6-trifluorobenzylamine, belonging to the technical field of chemical synthesis. The synthesis method is characterized by comprising the following steps: (1) allowing pentachlorobenzonitrile as a raw material to undergo fluoridation reaction with a fluoridation agent based on 2,4,6-trifluoro-3,5-dichlorobenzonitrile as a solvent to obtain 2,4,6-trifluoro-3,5-dichlorobenzonitrile; (2) hydrogenating the obtained 2,4,6-trifluoro-3,5-dichlorobenzonitrile with hydrogen in the presence of organic carboxylic acid, based, on palladium carbon as a catalyst to obtain 2,4,6-trifluoro-3,5-dichlorobenzylamine; and (3) hydrogenating the obtained 2,4,6-trifluoro-3,5-dichlorobenzylamine with hydrogen in a solvent in the presence of a catalyst to obtain 2,4,6-trifluorobenzylamine.

Abstract: The disclosure provides a synthesis method of 2,4,6-trifluorobenzylamine, belonging to the technical field of chemical synthesis. The synthesis method is characterized by comprising the following steps: (1) allowing pentachlorobenzonitrile as a raw material to undergo fluoridation reaction with a fluoridation agent based on 2,4,6-trifluoro-3,5-dichlorobenzonitrile as a solvent to obtain 2,4,6-trifluoro-3,5-dichlorobenzonitrile; (2) hydrogenating the obtained 2,4,6-trifluoro-3,5-dichlorobenzonitrile with hydrogen in the presence of organic carboxylic acid, based, on palladium carbon as a catalyst to obtain 2,4,6-trifluoro-3,5-dichlorobenzylamine; and (3) hydrogenating the obtained 2,4,6-trifluoro-3,5-dichlorobenzylamine with hydrogen in a solvent in the presence of a catalyst to obtain 2,4,6-trifluorobenzylamine.

Abstract: A computer-implemented method for tracking multiple targets includes identifying a plurality of targets based on a plurality of images obtained from an imaging device carried by an unmanned aerial vehicle (UAV) via a carrier, determining a target group comprising one or more targets from the plurality of targets, and controlling at least one of the UAV or the carrier to track the target group.

Abstract: An imaging control method includes receiving a starting instruction including a flight mode of an unmanned aerial vehicle (“UAV”). The imaging control method also includes controlling the UAV to fly autonomously based on the flight mode. The imaging control method also includes obtaining, in the flight mode, location information of a target object, and obtaining orientation information of the target object relative to the UAV based on the target object recognized from an image captured by an imaging device carried by a gimbal mounted on the UAV. The imaging control method further includes controlling a flight path of the UAV based on the location information and the flight mode, controlling an attitude of the gimbal to render the target object to appear in the image, and controlling the imaging device to record a video in the flight mode, and to transmit video data to a terminal.

Abstract: An imaging control method for an unmanned aerial vehicle (“UAV”) includes determining a combined action mode to be used when the UAV performs imaging, the combined action mode comprising at least two action modes. The imaging control method also includes generating a combined operation instruction based on the combined action mode. The imaging control method further includes transmitting the combined operation instruction to the UAV to enable the UAV to fly based on the combined operation instruction and to capture a video.

Abstract: A method for controlling a movable object includes obtaining current location information of an obstacle while the movable object tracks a target, and determining whether a location of the obstacle corresponds to a reactive region relative to the movable object based on the current location information of the obstacle. In response to determining that the location of the obstacle corresponds to the reactive region, one or more movement characteristics of the movable object is adjusted in a reactive manner to prevent the movable object from colliding with the obstacle. In response to determining that the location of the obstacle does not correspond to the reactive region, the one or more movement characteristics of the movable object is adjusted in a proactive manner to maintain a distance between the movable object and the obstacle to be larger than a predefined distance.