Sz Dji Technology Co., Ltd.

Orbbec Inc.

Minjian Pang

Cong Zhao

You Zhou

Guyue Zhou

Zhe Liu

Jie Qian

Xuyang Feng

Rui Li

Junfeng Yu

Shaojie Shen

Tao Zhao

Mingyu Wang

Xiao Liang Hu

Ang Liu

Yun Yu

Ketan Tang

Litian Zhang

Lihua Wu

Jie Zeng

Xianzhuo Liu

Zhiming Huang

Xiaomeng Wang

Hongfei Yang

This application discloses a calibration method, a calibration system, and a calibration board. The calibration board includes checkerboard cells arranged on a surface of the calibration board, where at least one dot is arranged in each of the checkerboard cells, the dots of the calibration board include at least a first feature dot and a second feature dot, the first feature dot and the second feature dot are arranged in the checkerboard cells according to a random rule or a specific rule, and a diameter of the first feature dot is greater than a diameter of the second feature dot. The calibration board in this application improves the stability and accuracy of calibration board detection by utilizing characteristics such as a high detection accuracy and a strong anti-blur capability of a dot mark, combining with corner points of checkerboard cells.

Calibration board and calibration method and system

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 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.

System and method for supporting smooth target following

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 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.

Systems and methods for UAV interactive instructions and control

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.

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.

A method for supporting target tracking includes acquiring a target from one or more images captured by an imaging device carried by a movable object, obtaining a relative distance between the movable object and the target, and generating one or more control signals based on the relative distance to direct the movable object to track the target.

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Shenzhen, China

Minjian Pang