Sz Dji Technology Co., Ltd.

The Hong Kong University of Science and Technology

Kaiyong Zhao

Shizhen Zheng

Yuewen Ma

Chihui Pan

Yi Lin

Yonggen Ling

Shaojie Shen

Cihui Pan

Tianbo Liu

Zhenfei Yang

Songzhou Yu

Minglei Zhang

Methods and associated systems and apparatus for generating a three-dimensional (3D) flight path for a moveable platform such as an unmanned aerial vehicle (UAV) are disclosed herein. The method includes receiving a set of 3D information associated with a virtual reality environment and receiving a plurality of virtual locations in the virtual reality environment. For individual virtual locations, the system receives a corresponding action item. The system then generates a 3D path based on at least one of the set of 3D information, the plurality of virtual locations, and the plurality of action items. The system then generates a set of images associated with the 3D path and then visually presents the same to an operator via a virtual reality device. The system enables the operator to adjust the 3D path via the virtual reality device.

Methods and associated systems for managing 3D flight paths

Methods and systems for generating a real-time map of a survey area are provided. The methods and systems may include or be configured to carry out the steps of determining, based on a desired map resolution, a flight path over the survey area for a movable object having at least one image capture device. The methods and systems further may include obtaining images of the survey area captured by the at least one image capture device as the movable object travels along the flight path, and processing the images to generate the real-time map of the survey area with the desired map resolution.

Systems and methods for generating a real-time map using a movable object

A method includes simulating one or more states of a movable object by implementing a movable object model. Each simulated state is associated with simulated state data of the movable object. The method further includes determining one or more sets of simulated sensor data corresponding to the one or more simulated states respectively by implementing a plurality of sensor models, determining environment data of a simulated environment surrounding the movable object by implementing an environment model, providing the one or more sets of simulated sensor data to a movable object controller configured for generating control signals to adjust states of the movable object, and providing the simulated state data and the environment data to a vision simulator configured for visualizing operations of the movable object in the one or more simulated states.

Method and system for simulating movable object states

A method of generating a three-dimensional point cloud includes obtaining a plurality of image data sources through a plurality of sensors, and performing fusion processing according to the plurality of image data sources to obtain the three-dimensional point cloud.

Method, device, computer system, and mobile apparatus for generating three-dimensional point cloud

A method for controlling movement of a moving object includes, based on a target object selecting operation, a center point of a target object range on a display interface and a target-object-range adjusting pressure for adjusting the target object range, determining the target object range in the display interface according to the center point of the target object range and the target-object-range adjusting pressure, and determining an image object in the target object range as a target object tracked by the moving object.

Methods, devices, and systems for controlling movement of a moving object

Systems, methods, and devices are provided for controlling a movable object using multiple sensors. In one aspect, a method for calibrating one or more extrinsic parameters of a movable object having a plurality of sensors in an initial configuration is provided. The method can comprise: detecting that the initial configuration of the plurality of sensors has been modified; receiving inertial data from at least one inertial sensor during operation of the movable object; receiving image data from at least two image sensors during the operation of the movable object; and estimating the one or more extrinsic parameters based on the inertial data and the image data in response to detecting that the initial configuration has been modified, wherein the one or more extrinsic parameters comprise spatial relationships between the plurality of sensors in the modified configuration.

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Shenzhen, China

Kaiyong Zhao