Abstract: A computer-implemented method for controlling an unmanned aerial vehicle (UAV) includes identifying a set of target markers based on a plurality of images captured by an imaging device carried by the UAV. The set of target markers includes at least two or more types of target markers that are in close proximity to be detected within a same field of view of the imaging device. The method further includes determining a spatial relationship between the UAV and the set of target markers based at least in part on the plurality of images, and controlling the UAV to approach the set of target markers based at least in part on the spatial relationship while controlling the imaging device to track the set of target markers such that the set of target markers remains within the same field of view of the imaging device.

Abstract: A method for controlling an aircraft includes determining photographing information related to a photographing object, controlling the aircraft to fly to a photographing location based on the photographing information, controlling, according to a predetermined image composition rule, a photographing device carried by the aircraft to adjust imaging of the photographing object at the photographing location to satisfy the predetermined image composition rule, and capturing an image of the photographing object in response to the imaging of the photographing object satisfying the predetermined image composition rule. The photographing information indicates an occupying scope of the photographing object in an image-to-be-captured.

Abstract: A method for controlling a movable object to track a target object includes determining a change in one or more features between a first image frame and a second image frame, and adjusting a movement of the movable object based on the change in the one or more features between the first image frame and the second image frame. The one or more features are associated with the target object, and the first image frame and the second image frame are captured at different points in time using an imaging device on the movable object.

Abstract: An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body and configured to effect movement of the UAV, and one or more processors coupled to the one or more propulsion units and individually or collectively configured to receive one or more sets of altitude restrictions for the UAV, receive location information indicating a current location of the UAV, determine a priority of the one or more sets of altitude restrictions by which the UAV abides based on the location information, select a set from the one or more sets of altitude restrictions based on the determined priority, and generate control signals to control the one or more propulsion units such that the UAV is operated in compliance with the selected set of altitude restrictions.

Abstract: A power consumption control device includes: a voltage detection circuit configured to detect whether an input power supply of a magnetic levitation system to be controlled is turned off; and a comparison unit configured to detect an operating parameter of a motor of the magnetic levitation system during an operation of the motor as a generator, and compare the operating parameter with a set parameter to obtain a comparison result; a motor controller of the magnetic levitation system controls the motor of the magnetic levitation system to operate as the generator in a case that the input power supply is turned off, a bearing controller of the magnetic levitation system adjusts a magnitude of a bearing bias current of the magnetic levitation system according to the comparison result, to control a power consumption of a magnetic levitation bearing of the magnetic levitation system within a set range.

Abstract: An imaging apparatus includes first and second imaging devices configured to capture first and second images of a scene, respectively. The first and second images include multiple first image blocks relative to a first coordinate system and multiple second image blocks relative to a second coordinate system, respectively. The apparatus further includes a processor configured to calibrate one or more first image blocks and one or more corresponding second image blocks using the first and second coordinate systems, convert each calibrated first image block to an intensity image and a first depth map, convert each calibrated second image block to a grayscale image, and generate a second depth map associated with the second image by enhancing a resolution of the first depth map for each calibrated first image block based on calculating a relationship between the intensity image and the grayscale image for each calibrated first and second image blocks.

Abstract: Systems, methods, and computer-readable storage devices for obstacle detection may include an exemplary method of obstacle detection by a computing device. The method includes receiving a first dataset indicating a first surrounding with a first perspective; receiving a second dataset indicating a second surrounding with a second perspective; and generating a composite dataset from the first and second datasets. The method additionally includes identifying an obstacle using the composite dataset.

Abstract: A method of tracking a movement of a target by an unmanned aerial vehicle (UAV), the method includes receiving, from a mobile terminal collocating with the target, absolute location coordinate data of the target, acquiring, by a camera of the UAV, image data of the target, determining, based on the absolute location coordinate data and the image data of the target, 3D location coordinate data of the target with respect to the UAV, and controlling, based on the 3D location coordinate data of the target with respect to the UAV, at least one of a direction or a speed of the movement of the UAV, to maintain a constant relative 3D position of the UAV with respect to the target.

Abstract: A control method for a mobile platform includes obtaining a captured image, identifying one or more candidate first characteristic parts from the captured image, determining a second characteristic part of a target object in the captured image, determining one or more matching parameters each corresponding to one of the one or more candidate first characteristic parts based on the one or more candidate first characteristic parts and the second characteristic part, determining a target first characteristic part of the target object from the one or more candidate first characteristic parts based on the one or more matching parameters, and switching from tracking the second characteristic part to tracking the target first characteristic part in response to a tracking parameter of the target object meeting a preset tracking condition.

Abstract: An imaging method includes determining a target position in an imaging frame of an image capturing mechanism connected with a positioning mechanism, outputting a capturing instruction to control the image capturing mechanism to capture a scene including a human face after the target position is determined, detecting the human face from the captured scene, and outputting a control instruction to position the detected human face at the target position by moving the positioning mechanism to move the image capturing mechanism.

Abstract: A method includes, with aid of one or more processors individually or collectively, analyzing stereoscopic video data of an environment to determine environmental information, generating augmented stereoscopic video data of the environment by fusing the stereoscopic video data and the environmental information, and controlling an unmanned aerial vehicle (UAV) to avoid an obstacle on a motion path of the UAV according to the augmented stereoscopic video data of the environment.

Abstract: A computer-implemented method for controlling an unmanned aerial vehicle (UAV) includes detecting a target marker based on a plurality of images captured by an imaging device carried by the UAV, determining a spatial relationship between the UAV and the target marker based at least in part on the plurality of images, and controlling the UAV to approach the target marker based at least in part on the spatial relationship while controlling the imaging device to track the target marker such that the target marker remains within a field of view of the imaging device.

Abstract: A control method includes acquiring motion information of a tracked object, and based on the motion information, controlling movement of a carrying device that carries a tracking device to enable the tracking device to track the tracked object while maintaining approximately unchanged an angle between a moving direction of the tracked object and a line connecting the tracked object and the tracking device when the tracked object moves.

Abstract: Disclosed is a displacement correction apparatus. The apparatus comprises: a reference circuit and a correction circuit; the reference circuit is configured to provide a reference signal; the correction circuit is configured to perform a logarithm operation on a nonlinear displacement signal to be corrected based on the reference signal, to obtain a corrected linear displacement signal. The displacement correction apparatus can solve the problem of poor detection accuracy resulting from a position signal output by an eddy current sensor being not in a linear relationship with a displacement signal of a shaft, thereby achieving the effect of improving detection accuracy. A magnetic levitation bearing system and a displacement correction method therefor which use the above displacement correction apparatus are also disclosed.

Abstract: A method for controlling an aircraft includes determining photographing information related to a photographing object, the photographing information indicating an occupying scope of the photographing object in an image to be captured. The method also includes controlling the aircraft to fly to a photographing location based on the photographing information.

Abstract: A method for controlling a movable object includes receiving, at one or more processors, a plurality of images from a plurality of imaging devices carried by the movable object; determining, with aid of the one or more processors, an environment type of an environment surrounding the movable object; identifying a target based on the plurality of images and the environment type; determining information of the target based on the plurality of images; and controlling the movable object to avoid the target based on the information of the target. The plurality of imaging devices includes a first imaging device arranged at an upper surface of a body of the movable object and a second imaging device arranged at a lower surface of the body. Each of the first imaging device and the second imaging device has a field of view greater than 150 degrees.

Abstract: An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body, and one or more processors operably coupled to the one or more propulsion units. The one or more processors are configured to receive one or more original altitude restrictions for the UAV, receive elevation information for an area the UAV is operating in or will operate in, determine one or more modified altitude restrictions based on the one or more original altitude restrictions and the elevation information, compare the one or more modified altitude restrictions with a legal altitude restriction to determine whether the one or more modified altitude restrictions are legally compliant, and if so, control the one or more propulsion units to cause the UAV to comply with the one or more modified altitude restrictions while operating in the area.

Abstract: A method for sensing an environment in which an unmanned aerial vehicle (UAV) is configured to operate includes, with aid of one or more processors onboard the UAV individually or collectively, obtaining video data of the environment that is collected using a binocular video camera mounted in a forward-looking direction of the UAV, encoding the video data to generate stereoscopic video data, and transmitting the stereoscopic video data to a terminal remote to the movable object.

Abstract: A method of tracking a movement of a target by an unmanned aerial vehicle (UAV) includes determining a distance between the target and the UAV, acquiring image data of the target by a camera of the UAV, determining two-dimensional pixel coordinate data associated with a plurality of features of the target from the image data, determining a physical dimension based on the two-dimensional pixel coordinate data and the distance, and determining three-dimensional location coordinate data of the target with respect to the UAV based on the physical dimension and at least one of the two-dimensional pixel coordinate data or the distance.

Abstract: The present disclosure relates to systems, methods, and computer-readable storage devices for the coordination of actions between movable objects. For example, a method may coordinate actions between at least a first and a second movable object. The method may detect, by the first movable object, the position of a target. The method may control the position of a first movable object based on the position of the target. A command may be received for the first movable object to perform an action in coordination with the second movable object. In some embodiments, the command may be to take images of the target to create a bullet time effect.