Patents by Inventor Shangyun Lv

Shangyun Lv 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).

  • Systems and methods for automatic flight pattern recognition
    Patent number: 11727816
    Abstract: A method of providing an indication identifying a flight as including or not including a flight path deviation, the method includes receiving flight data associated with a flight, the flight data comprising a plurality of coordinates indicating a location of an aircraft at a plurality of times during the flight. The method also includes classifying a plurality of time intervals of the flight by applying a convolutional neural network algorithm to subsets of the plurality coordinates to determine that the time interval includes or does not include at least one flight path deviation. The method also includes identifying the flight as including at least one flight path deviation if at least one of the time intervals is classified as including the at least one flight path deviation and providing an indication identifying the flight as including at least one flight path deviation to a second computing system in response to identifying the flight as including at least one flight path deviation.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: August 15, 2023
    Assignee: GE Aviation Systems LLC
    Inventors: Xiang Gu, Xiaojie Wu, Shangyun Lv
  • SYSTEMS AND METHODS FOR AUTOMATIC FLIGHT PATTERN RECOGNITION
    Publication number: 20220076583
    Abstract: A method of providing an indication identifying a flight as including or not including a flight path deviation, the method includes receiving flight data associated with a flight, the flight data comprising a plurality of coordinates indicating a location of an aircraft at a plurality of times during the flight. The method also includes classifying a plurality of time intervals of the flight by applying a convolutional neural network algorithm to subsets of the plurality coordinates to determine that the time interval includes or does not include at least one flight path deviation. The method also includes identifying the flight as including at least one flight path deviation if at least one of the time intervals is classified as including the at least one flight path deviation and providing an indication identifying the flight as including at least one flight path deviation to a second computing system in response to identifying the flight as including at least one flight path deviation.
    Type: Application
    Filed: September 4, 2020
    Publication date: March 10, 2022
    Applicant: GE Aviation Systems LLC
    Inventors: Xiang Gu, Xiaojie Wu, Shangyun Lv