Sz Dji Technology Co., Ltd.

Zhenyu Zhu

You Zhou

Honghui Zhang

Cong Zhao

Mingyu Wang

Ketan Tang

Zhiyuan Wu

Jie Liu

Weifeng Liu

Zhiyuan Zhang

Zihan Chen

Chaobin Chen

Automatic terrain evaluation of landing surfaces, and associated systems and methods are disclosed herein. A representative method includes receiving a request to land a movable object and, in response to the request, identifying a target landing area on a landing surface based on at least one image of the landing surface obtained by the movable object. The method can further include directing the movable object to land at the target landing area.

Automatic terrain evaluation of landing surfaces, and associated systems and methods

A pose determination method for a subject includes identifying a plurality of candidate regions from depth data representing an environment based on a depth connectivity criterion, determining a first region including a first subset of the plurality of candidate regions based on an estimation regarding a first pose component of the subject, determining a second region including a second subset of the plurality of candidate regions that are disconnected from the first subset of the plurality of candidate regions based on relative locations of the first region and the second region, generating a collective region by associating the first region with the second region, identifying the first pose component and a second pose component of the subject from the collective region, determining a spatial relationship between the first pose component and the second pose component, and generating a controlling command based on the spatial relationship.

Depth information based pose determination for mobile platforms, and associated systems and methods

A system for processing images captured by a movable object includes one or more processors individually or collectively configured to process a first image set captured by a first imaging component to obtain texture information in response to a second image set captured by a second imaging component having a quality below a predetermined threshold, and obtain environmental information for the movable object based on the texture information. The first imaging component has a first field of view and the second imaging component has a second field of view narrower than the first field of view.

Processing images to obtain environmental information

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

Methods, systems, and articles of manufacture configured to operate an aerial vehicle are provided. Various embodiments may be implemented with an aerial vehicle. In one exemplary implementation, a method of operating an aerial vehicle may include identifying, from image data, a set of predetermined features based on one or more invariant properties associated with the predetermined features. The predetermined features may be associated with predetermined physical locations. Based on the image locations of the predetermined features within the image data and the predetermined physical locations of the predetermined features, a system may be configured to determine at least one of a location and an orientation of the aerial vehicle. The disclosed embodiments may provide enhanced accuracy, usability, and robustness in tracking the location and orientation of an aerial vehicle under various operation conditions.

System and method for real-time location tracking of a drone

A method of distance measuring includes obtaining a depth map and a stereo pair of images of a scene of interest, and enhancing a precision of the depth map based on disparity values of corresponding points between the images. The images have a higher resolution than the depth map. Enhancing the precision of the depth map includes determining the disparity values by optimizing an energy function of the images and replacing low precision values of the depth map with corresponding high precision values based on the disparity values.

Imaging system and method

Methods and systems for obtaining texture information and environmental information are provided. Texture information and/or environmental information may be obtained from various portions of captured images and may be utilized to improve operability of movable objects, such as unmanned aerial vehicles (UAVs).

A method for distance detection includes detecting a first distance value between a movable object and a target object in a target direction of the movable object, obtaining an inclination angle of the movable object at the target direction, and calculating a second distance value from the movable object to the target object based upon the inclination angle and the first distance value.

Method and device for movable object distance detection, and aerial vehicle

A method for focal length adjustment includes capturing scene images of a scene using a first imaging device and a second imaging device of an imaging mechanism, determining a distance between an object of interest in the scene and the imaging mechanism based on the scene images of the scene, and automatically adjusting a focal length of the imaging mechanism according to the distance.

Apparatus and method for focal length adjustment and depth map determination

A method for enhancing image resolution includes obtaining one or more images of a scene. The one or more images are associated with a first depth map. The method further includes determining a second depth map of the scene based upon the one or more images. The second depth map has a higher resolution than the first depth map.

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Shenzhen, China

Zhenyu Zhu