Abstract: A delivering method using an unmanned aerial vehicle includes configuring a pre-set condition, locking a cargo, acquiring verification information about a recipient, comparing the verification information with the pre-set condition, and determining that verification is passed to unlock the cargo when the verification information is consistent with the pre-set condition.

Abstract: A method for controlling a movable object is provided. A user input that includes a first parameter corresponding to a first coordinate system is received and an operation mode is determined. In response to determining the operation mode being a first operation mode, a second parameter corresponding to a second coordinate system is generated and the movable object is controlled to move based on the second parameter. In response to determining the operation mode being a second operation mode, the first parameter is translated to a third parameter corresponding to the second coordinate system and the movable object is controlled to move based on the third parameter.

Abstract: A method for generating a first person view (FPV) of an environment includes, with aid of one or more processors individually or collectively, analyzing stereoscopic video data of the environment to determine environmental information and generating augmented stereoscopic video data of the environment by fusing the stereoscopic video data and the environmental information.

Abstract: The present application provides a Capillary number-based method of isolating circulating rare cells from a blood sample from a subject using filtration parameters determined based on the measurement of hemorheological parameters of the sample. The present application also provides a method for determining filtration parameters in a microfluidic elasto-filtration process for isolating circulating rare cells from a blood sample from a subject. The present application further provides a device for isolating circulating rare cells from a blood sample from a subject and a non-transitory computer storage medium for performing methods described in the present application.

Abstract: A method for controlling a movable object includes obtaining current location information of an obstacle while the movable object tracks a target, determining whether the obstacle is located in a reactive region relative to the movable object based on the current location information of the obstacle, and, in response to determining that the obstacle is not located in the reactive region, selecting an optimized set of candidate movement characteristics having an optimized route optimization score from multiple sets of candidate movement characteristics, and adjusting one or more movement characteristics of the movable object based on the optimized set of candidate movement characteristics such that a distance between the movable object and the obstacle is maintained at or beyond a predefined distance. Each set of candidate movement characteristics among the multiple sets of candidate movement characteristics corresponds to a route optimization score.

Abstract: A control method includes determining a relative relationship between a tracked object and a tracking device. The control method also includes acquiring motion information of the tracked object. The control method further includes based on the motion information and the relative relationship, controlling movement of a carrying device that carries the tracking device to enable the tracking device to track the tracked object.

Abstract: A method for controlling target tracking includes determining whether a tracking mode of a movable object is a manual tracking mode or an automatic tracking mode; when it is determined that the tracking mode is the manual tracking mode, determining a target for the movable object from one or more images based on a user input; when it is determined that the tracking mode is the automatic tracking mode, having the movable object determine the target automatically; and directing the movable object to track a target object using the target.

Abstract: A method for processing video data of an environment includes, with aid of one or more processors individually or collectively, obtaining in or near real-time a reference position of an imaging device located on a movable object based on one or more previously traversed positions of the imaging device, and modifying an image frame in the video data to obtain a modified image frame based on the reference position of the imaging device and an actual position of the imaging device at which the image frame is taken. The one or more previously traversed positions are obtained using at least one sensor on the movable object. The video data is acquired by the imaging device.

Abstract: A method of image processing includes obtaining depth information respectively corresponding to one or more objects in an image frame captured by an imaging system based on spatial configuration of the imaging system, calculating one or more rendering parameters associated with one of the one or more objects in the image frame based on at least the depth information of the one or more objects, and rendering the image frame using the one or more rendering parameters to obtain a processed image frame. The processed image frame includes an in-focus region and an out-of-focus region relative to the one of the one or more objects.

Abstract: A method, system, article of manufacture, and UAV configured to identify a target object shown in an image, such as shown in a perspective view that is a two-dimensional image or frame of video. The method comprises: identifying and track the position of a target object shown in a sequence of images or video, even when the target object may be traveling at high speeds, detecting the target object within an image based on one or more of the object's physical characteristics, such as its color, shape, size, chrominance, luminance, brightness, lightness, darkness, and/or other characteristics. Thus, in this context a target object may be anything having one or more detectable physical characteristics. The method also providing an improved and more intuitive user interface that enables a user to select a target object for tracking. As a result, the method and system improve the accuracy, usability, and robustness of the system.

Abstract: A method for an unmanned aerial vehicle (UAV) includes: identifying a target object in a photographed image to track the target object; determining, based on a location of the target object in the photographed image, a location of the UAV, and an altitude of a gimbal of the UAV, a location of the target object to continuously record the location of the target object; and in response to a disappearance of the target object in the photographed image, controlling, according to the recorded location of the target object prior to the disappearance of the target object, the altitude of the gimbal such that a photographing device carried by the UAV through the gimbal continues to photograph in a direction from the photographing device to the location of target object.

Abstract: A storage controller includes a distribution core, a plurality of sorting cores, and a request processing core. The three types of cores are separately configured to distribute an input/output (IO) request to different sorting cores, generate a processing sorting index for each IO request, and process the IO request according to a value of the processing sorting index of each IO request to flexibly schedule the IO request received by the storage controller.

Abstract: An imagery method includes obtaining a plurality of images of an object and selecting one or more images related to a moment from the plurality of images based on a selection rule. The plurality of images are captured by one or more imaging devices within a period of time while the object is being tracked. A plurality of triggers each are configured to trigger at least one of a starting time or a stopping time of the period of time for capturing the plurality of images. The plurality of triggers include a detection based on motion/state estimation of the object.

Abstract: A method for controlling an unmanned aerial vehicle (UAV) includes receiving, by a processor of the UAV, a plurality of images captured by an imaging device coupled to the UAV, identifying, by the processor, a target in at least one image of the plurality of images, determining, by the processor, whether the target is a stationary target or a moving target based on analyzing the plurality of images, and automatically effecting, by the processor, movement of the UAV based on determining the target is the stationary target or the moving target.

Abstract: An imaging device includes an image sensor, a fill light lamp, and a controller configured to obtain an automatic exposure parameter of the image sensor, and control an illumination intensity of the fill light lamp based on the automatic exposure parameter by adjusting the illumination intensity to a preset value when the automatic exposure parameter falls within an automatic exposure parameter range.

Abstract: A method for supporting target tracking includes obtaining a feature model for a target that represents imagery characteristics of the target, extracting one or more features from one or more images captured by an imaging device carried by a movable object, and applying the feature model on the one or more features to determine similarity between the one or more features and the feature model.

Abstract: A method for controlling a movable object includes receiving a user input indicative of a command to adjust a perception of a target while tracking the target, determining a subsequent perception of the target based on the user input, and generating one or more control signals to move the movable object based on the subsequent perception of the target.

Abstract: A method includes receiving a plurality of images from an imaging device carried by a movable object. The method further includes determining whether an environment type of the movable object is a first type or a second type according to sensing data received from one or more sensors of the movable object, identifying a target based on the plurality of images using a first method in response to determining that the environment type is the first type and using a second method different from the first method in response to determining that the environment type is the second type, and determining state information of the movable object or the target based on the plurality of images.

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.

Abstract: A method for determining position of a target includes determining at least two measurement points of the target, obtaining vector data of at least two direction vectors based on an imaging position of the target on an imaging system and parameter data of the imaging system, and determining a distance between the target and the imaging system according to the vector data and a current vertical height of the imaging system. Each of the at least two direction vectors is a vector from the imaging system to a corresponding one of the at least two measurement points.