Patents by Inventor Ruwen Hess

Ruwen Hess 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).

  • Identifying, Processing And Displaying Data Point Clusters
    Publication number: 20240077324
    Abstract: Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.
    Type: Application
    Filed: November 7, 2023
    Publication date: March 7, 2024
    Inventors: Steve Chien, Mark Yinan Li, Marc Schaub, Benjamin Anderson, James Aspinall, Zhou Bailiang, Ruwen Hess
  • Identifying, processing and displaying data point clusters
    Patent number: 11835352
    Abstract: Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner. Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.
    Type: Grant
    Filed: August 6, 2019
    Date of Patent: December 5, 2023
    Assignee: Google LLC
    Inventors: Steve Chien, Mark Yinan Li, Marc Andreas Schaub, Benjamin James Anderson, James Aspinall, Zhou Bailiang, Ruwen Hess
  • Identifying, Processing And Displaying Data Point Clusters
    Publication number: 20190360830
    Abstract: Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.
    Type: Application
    Filed: August 6, 2019
    Publication date: November 28, 2019
    Inventors: Steve Chien, Mark Yinan Li, Marc Andreas Schaub, Benjamin James Anderson, James Aspinall, Zhou Bailiang, Ruwen Hess
  • Identifying, processing and displaying data point clusters
    Patent number: 10415987
    Abstract: Presented are techniques of identifying, processing and displaying data point clusters (850, 851) associated with map information (200) in an efficient manner. Methods and systems are disclosed which process map information (200) to identify clusters (850, 851) of requested data points for display (1020), based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons (1860, 1861, 1901-05) representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.
    Type: Grant
    Filed: June 24, 2016
    Date of Patent: September 17, 2019
    Assignee: Google LLC
    Inventors: Steve Chien, Mark Yinan Li, Marc Schaub, Benjamin Anderson, James Aspinall, Zhou Bailiang, Ruwen Hess
  • IDENTIFYING, PROCESSING AND DISPLAYING DATA POINT CLUSTERS
    Publication number: 20190101402
    Abstract: Presented are techniques of identifying, processing and displaying data point clusters (850, 851) associated with map information (200) in an efficient manner. Methods and systems are disclosed which process map information (200) to identify clusters (850, 851) of requested data points for display (1020), based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons (1860, 1861, 1901-05) representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.
    Type: Application
    Filed: June 24, 2016
    Publication date: April 4, 2019
    Applicant: Google Inc.
    Inventors: Steve Chien, Mark Yinan Li, Marc Schaub, Benjamin Anderson, James Aspinall, Zhou Bailiang, Ruwen Hess
  • Using current user context to determine mapping characteristics
    Patent number: 9752883
    Abstract: Methods and apparatus related to determining one or more mapping characteristics of a map based on a current context of a user. A current context of a user may be identified and one or more mapping characteristics determined based on the current context. A map that is responsive to a mapping request of the user may be tailored to include the determined mapping characteristics.
    Type: Grant
    Filed: June 4, 2014
    Date of Patent: September 5, 2017
    Assignee: GOOGLE INC.
    Inventors: Zoltan Gyongyi, Frank Worsley, Aditi Shrikumar, Ruwen Hess