Patents by Inventor Ivan XU

Ivan XU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method, device and system for configuration of a sensor on a moving object
    Patent number: 10958846
    Abstract: A method for configuring a sensor, which is adapted to be installed on a moving object, includes obtaining localization information of the sensor from a localization device, obtaining characteristic information and localization information of at least one element from a digital map, and choosing one or more elements of the at least one element in the digital map. The method also includes configuring the sensor according to the characteristic information and/or the localization information of the one or more chosen elements.
    Type: Grant
    Filed: August 6, 2019
    Date of Patent: March 23, 2021
    Assignee: Bayerische Motoren Werke Aktiengesellschaft
    Inventors: Maximilian Doemling, Sebastian Granzow, Wanli Jiang, Qianshan Li, Rick Li, Bill Lv, Ivan Xu, Tomas Xu
  • Method and apparatus for uncertainty modeling of point cloud
    Patent number: 10740962
    Abstract: A method and an apparatus for uncertainty modeling of a point cloud and a non-transient storage medium are provided. The method finds the neighboring points for each point; fits a local quadratic surface for each point; and generates a Gaussian Model (GM) for representing the uncertainty modeling of the local surface at each point. The GM is constructed in a piece-wise manner on the underlying surface of the point cloud, which will accurately model the surface uncertainty.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: August 11, 2020
    Assignee: Bayerische Motoren Werke Aktiengesellschaft
    Inventors: Maximilian Doemling, Sebastian Granzow, Wanli Jiang, Qianshan Li, Rick Li, Bill Lv, Ivan Xu, Tomas Xu
  • Method, Device and System for Localizing a Moving Object
    Publication number: 20190360817
    Abstract: A method for localization of a moving object includes obtaining a digital map comprising road feature information, receiving position change information of the moving object, and obtaining trace feature information of the moving object by processing the position change information of the moving object. The method further includes determining a localization of the moving object according to similarity between the trace feature information of the moving object and the road feature information.
    Type: Application
    Filed: August 6, 2019
    Publication date: November 28, 2019
    Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU
  • Method, Device and System for Configuration of a Sensor on a Moving Object
    Publication number: 20190364219
    Abstract: A method for configuring a sensor, which is adapted to be installed on a moving object, includes obtaining localization information of the sensor from a localization device, obtaining characteristic information and localization information of at least one element from a digital map, and choosing one or more elements of the at least one element in the digital map. The method also includes configuring the sensor according to the characteristic information and/or the localization information of the one or more chosen elements.
    Type: Application
    Filed: August 6, 2019
    Publication date: November 28, 2019
    Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU
  • Method and Apparatus for Uncertainty Modeling of Point Cloud
    Publication number: 20190311532
    Abstract: A method and an apparatus for uncertainty modeling of a point cloud and a non-transient storage medium are provided. The method finds the neighboring points for each point; fits a local quadratic surface for each point; and generates a Gaussian Model (GM) for representing the uncertainty modeling of the local surface at each point. The GM is constructed in a piece-wise manner on the underlying surface of the point cloud, which will accurately model the surface uncertainty.
    Type: Application
    Filed: June 25, 2019
    Publication date: October 10, 2019
    Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU