Sz Dji Technology Co., Ltd.

Adobe, Inc.

Ketan Tang

Cong Zhao

Guyue Zhou

You Zhou

Xingyu Zhang

Ang Liu

Zhuo Guo

Honghui Zhang

Xiao Liang Hu

Yu Shen

Jiaqi Yan

Zhenyu Zhu

Jue Wang

Tao Zhao

Mingyu Wang

Jianchao Yang

Bing Li

Jie Liu

Litian Zhang

Yun Yu

Rui Xu

Qi Chen

Shaojie Shen

Zhaoliang Peng

Minjian Pang

Yongjian Zhao

A method for controlling movement of an unmanned aerial vehicle (UAV) includes controlling one or more propulsion units of the UVA to cause the UAV to operate according to a first set of altitude restrictions; assessing, with aid of the one or more processors and based on one or more criteria, whether to control the UAV to operate according to a second set of altitude restrictions; and controlling the one or more propulsion units to cause the UAV to operate according to the second set of altitude restrictions in response to the one or more criteria being fulfilled according to an assessing result. The first set of altitude restrictions constrain an altitude of the UAV relative to a first reference altitude. The second set of altitude restrictions constrain the altitude of the UAV relative to a second reference altitude.

Vehicle altitude restrictions and control

Methods and associated systems and apparatus for controlling a moveable device are disclosed herein. The moveable device includes an image-collection component and a distance-measurement component. A representative method includes generating an image corresponding to the operator and generating a first set of distance information corresponding to the operator. The method identifies a portion of the image in the generated image and then retrieves a second set of distance information from the first set of distance information based on the identified image portion corresponding to the operator. The method then identifies a gesture associated with the operator based on the second set of distance information. The method then further generates an instruction for controlling the moveable device based on the gesture.

Methods and associated systems for communicating with/controlling moveable devices by gestures

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.

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 controlling palm landing of an unmanned aerial vehicle ('UAV') includes detecting a flight status of the UAV under a predetermined condition. The method also includes controlling the UAV to land on a palm of a user when the flight status is a hover state and when the palm is located under the UAV.

Method for controlling palm landing of unmanned aerial vehicle, control device, and unmanned aerial vehicle

A method for recognizing a posture includes acquiring a depth image of a scene, and obtaining point clouds of an operator based on the depth image of the scene. The method also includes separating point clouds of an arm from the point clouds of the operator and obtaining a characteristic point from the point clouds of the arm. The method further includes determining a location relationship between the characteristic point and the operator and determining a posture of the operator based on the location relationship.

Attitude recognition method and device, and movable platform

The present disclosure provides a gesture recognition method. The method includes the following steps: acquiring a depth image of a user; determining a point set of a two-dimensional image indicating a palm based on a depth information of the depth image; and, determining a gesture based on the point set.

Recognition method and apparatus and mobile platform

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.

System and method for enhancing image resolution

An image rectification method includes determining one or more reference points in a raw image captured using a lens for a plurality of target pixels in a target image, obtaining a subsection of the raw image based on the one or more reference points, and calculating a target pixel value for each of the plurality of target pixels based on one or more pixel values of one or more pixels in the subsection of the raw image.

System and method for rectifying a wide-angle image

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.

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.

Unmanned aerial vehicle, and method and system for delivering cargo with unmanned aerial vehicle

A method for processing image data captured by an imaging device borne on a movable object includes receiving a plurality of trigger events each corresponding to an operational condition variation detected by a first sensing device borne on the movable object, identifying, among a sequence of image frames captured by the imaging device, a plurality of image frames of interest each determined by one of the plurality of trigger events, and adaptively selecting, from the sequence of image frames, a set of image frames in accordance with a comparison of a plurality of temporally adjacent image frames of the plurality of image frames of interest.

Method and system for creating video abstraction from image data captured by a movable object

A method for in-line sensor calibration are provided, comprising: obtaining sensor data from a plurality of sensors of different types coupled to an unmanned aerial vehicle (UAV) while the UAV is in flight, wherein the plurality of sensors have an initial spatial configuration relative to one another; detecting, with aid of a processor, a change in a spatial configuration of the plurality of sensors relative to one another from the initial spatial configuration to a subsequent spatial configuration, based on the sensor data; determining the subsequent spatial configuration; and adjusting data, while the UAV is in flight, from at least one of the plurality of sensors based on the subsequent spatial configuration. The disclosure also relates to an apparatus for sensor calibration.

System and method for automatic sensor calibration

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.

Growing community of inventors

Shenzhen, China

Ketan Tang