Sz Dji Technology Co., Ltd.

Xuyang Feng

Cong Zhao

Jie Qian

You Zhou

Junfeng Yu

Peiliang Li

Jiaqi Yan

Shaojie Shen

Minjian Pang

Ang Liu

Qifeng Wu

Zisheng Cao

Linchao Bao

Ye Tao

Bo Zang

Pan Hu

Chenglin Mao

Sijin Li

Ruochen Tang

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. In response to determining that the obstacle is located in the reactive region, the method further includes determining, based on the current location information of the obstacle, whether the obstacle is located in a first sub-region or a second sub-region of the reactive region, where an area of the second sub-region is smaller than an area of the first sub-region; in response to determining that the obstacle is located in the first sub-region, reducing an acceleration of the movable object; and in response to determining that the obstacle is located in the second sub-region, reducing a velocity of the movable object.

Obstacle avoidance during target tracking

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

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.

Systems and methods for coordinating device actions

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 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.

Control method, control device, and carrier system

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 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.

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.

Methods and systems for movement control of flying devices

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 acquiring a target for a movable object includes providing a solicitation signal in response to receiving an initialization signal, detecting an action by one or more potential candidates in response to the solicitation signal, and identifying a target from the one or more potential candidates based on the detected action.

System and method for automated tracking and 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 method of controlling a movable object to track a target includes determining a difference between a desired height and a measured height of the movable object, determining a reference speed of the movable object or the target, and adjusting the movable object based on the reference speed and the difference between the desired height and the measured height.

Systems and methods for height control of a movable object

A method for adjusting image exposure includes, while continuously tracking one or more targets using an imaging device mounted on a movable object, receiving a user indication of a target for imaging, determining a first representation of the target, capturing a first image that includes the first representation of the target, determining an exposure parameter for the imaging device using data in the first image that corresponds to the first representation of the target, determining a second representation of the target, capturing a second image including the second representation of the target, and adjusting the exposure parameter for the imaging device using data in the second image that corresponds to the second representation of the target.

Target-based image exposure adjustment

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.

Systems and methods for visual target tracking

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.

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Shenzhen, China

Xuyang Feng