Sz Dji Technology Co., Ltd.

Peiliang Li

Jie Qian

Cong Zhao

Xuyang Feng

You Zhou

Qifeng Wu

A computer-implemented method for controlling a UAV includes identifying a set of target markers based on a plurality of images captured by an imaging device carried by the UAV, and controlling the UAV to fly based on the set of target markers. The set of target markers include at least two or more types of target markers and are in close proximity to be detected within a same field of view of the imaging device. Controlling the UAV to fly includes controlling the UAV to approach the set of target markers based at least in part on a spatial relationship between the UAV and a first type of target marker; and determining whether to control the UAV to land at or near the set of target markers based on information conveyed by a second type of target marker.

Methods and system for autonomous landing

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.

System and method for tracking targets

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.

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.

Techniques for image recognition-based aerial vehicle navigation

A method for controlling a movable object includes obtaining an expected height of the movable object, obtaining a measured height of the movable object relative to a ground, and controlling a height of the movable object according to the expected height and the measured height.

Target tracking method and apparatus

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.

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.

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.

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.

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Shenzhen, China

Peiliang Li