Method and apparatus for controlling vehicle driving

    公开(公告)号:US11378957B1

    公开(公告)日:2022-07-05

    申请号:US16677321

    申请日:2019-11-07

    Abstract: Embodiments of the present disclosure relate to a method and apparatus for controlling vehicle driving. The method includes: generating a global path of a driving site of a vehicle; executing following controlling: generating a local path of a site in front of a current position of the vehicle based on the global path, the local path following a direction of the global path, controlling the vehicle to drive along the local path until reaching an end point of the local path, determining whether the vehicle reaches an end point of the global path, and terminating the controlling if the vehicle reaches the endpoint of the global path; and continuing, in response to determining the vehicle failing to reach the end point of the global path, executing the controlling.

    Control system and control method of unmanned engineering machinery

    公开(公告)号:US11356510B2

    公开(公告)日:2022-06-07

    申请号:US16726549

    申请日:2019-12-24

    Abstract: Embodiments of the present disclosure disclose a control system and a control method of an unmanned engineering machinery. The system includes at least a slave computer, a master computer and an execution device. The slave computer is configured to receive a current sensing value fed back by a sensing device in the unmanned engineering machinery, and to send the current sensing value to the master computer. The master computer is configured to generate a control instruction according to the current sensing value and a predetermined target sensing value of the sensing device, and to send the control instruction to the execution device through the slave computer.

    Method and device for acquiring 3D information of object

    公开(公告)号:US11288492B2

    公开(公告)日:2022-03-29

    申请号:US16773286

    申请日:2020-01-27

    Abstract: The present disclosure provides a method and device for acquiring 3D information of an object. The method includes: extracting two-dimensional (2D) key points of the object based on the image, and determining a candidate 3D model set matching the image; determining a plurality of first reference attitudes and positions of each candidate 3D model according to the 3D key points and the 2D key points; acquiring a plurality of reprojection error values between each candidate 3D model and the object at the plurality of first reference attitudes and positions; determining a first target attitude and position and a first target 3D model corresponding to a minimum reprojection error value in the first reprojection error value set; and acquiring the 3D information of the object based on the first target attitude and position and the first target 3D model.

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