Patents by Inventor Weiyi Hou

Weiyi Hou 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).

  • Patent number: 12277095
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.
    Type: Grant
    Filed: September 2, 2022
    Date of Patent: April 15, 2025
    Assignee: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Patent number: 12049229
    Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A schema-based encoding describing the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the schema-based encoding provides a structured representation of the environment during the period of time.
    Type: Grant
    Filed: March 12, 2020
    Date of Patent: July 30, 2024
    Assignee: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Patent number: 12039785
    Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A parameter-based encoding describing the one or more agents associated with the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the parameter-based encoding provides a structured representation of the information describing the one or more agents associated with the environment. A scenario represented by the parameter-based encoding can be determined based at least in part on a cluster of parameter-based encodings to which the parameter-based encoding is assigned.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: July 16, 2024
    Assignee: Lyft, Inc.
    Inventors: Ivan Kirigan, David Tse-Zhou Lu, Sheng Yang, Ranjith Unnikrishnan, Emilie Jeanne Anne Danna, Weiyi Hou, Daxiao Liu, Suneet Rajendra Shah, Ying Liu
  • Publication number: 20240104932
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of parameter-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. A given parameter-based encoding of the environment identifies one or more agents that were detected by a vehicle within the environment and respective location information for the one or more agents within the environment. The plurality of parameter-based encodings can be clustered into one or more clusters of parameter-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of parameter-based encodings.
    Type: Application
    Filed: October 6, 2023
    Publication date: March 28, 2024
    Applicant: Lyft, Inc.
    Inventors: Ivan Kirigan, David Tse-Zhou Lu, Sheng Yang, Ranjith Unnikrishnan, Emilie Jeanne Anne Danna, Weiyi Hou, Daxiao Liu, Suneet Rajendra Shah, Ying Liu
  • Patent number: 11816900
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of parameter-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. A given parameter-based encoding of the environment identifies one or more agents that were detected by a vehicle within the environment and respective location information for the one or more agents within the environment. The plurality of parameter-based encodings can be clustered into one or more clusters of parameter-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of parameter-based encodings.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: November 14, 2023
    Assignee: Lyft, Inc.
    Inventors: Ivan Kirigan, David Tse-Zhou Lu, Sheng Yang, Ranjith Unnikrishnan, Emilie Jeanne Anne Danna, Weiyi Hou, Daxiao Liu, Suneet Rajendra Shah, Ying Liu
  • Publication number: 20230110659
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.
    Type: Application
    Filed: September 2, 2022
    Publication date: April 13, 2023
    Applicant: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Patent number: 11449475
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: September 20, 2022
    Assignee: Lyft, Inc.
    Inventors: Lina Dong, Shaohui Sun, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet
  • Patent number: 11157007
    Abstract: Systems, methods, and non-transitory computer-readable media can access a first set of schema-based encodings associated with a first environment, wherein a schema-based encoding provides a structured representation of an environment based on a scenario schema. First information representing scenario information associated with the first environment can be generated based at least in part on the first set of schema-based encodings. One or more attributes for the first environment can be determined based at least in part the first information.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: October 26, 2021
    Assignee: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Publication number: 20210124355
    Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A parameter-based encoding describing the one or more agents associated with the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the parameter-based encoding provides a structured representation of the information describing the one or more agents associated with the environment. A scenario represented by the parameter-based encoding can be determined based at least in part on a cluster of parameter-based encodings to which the parameter-based encoding is assigned.
    Type: Application
    Filed: October 23, 2019
    Publication date: April 29, 2021
    Applicant: Lyft, Inc.
    Inventors: Ivan Kirigan, David Tse-Zhou Lu, Sheng Yang, Ranjith Unnikrishnan, Emilie Jeanne Anne Danna, Weiyi Hou, Daxiao Liu, Suneet Rajendra Shah, Ying Liu
  • Publication number: 20210124350
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of parameter-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. A given parameter-based encoding of the environment identifies one or more agents that were detected by a vehicle within the environment and respective location information for the one or more agents within the environment. The plurality of parameter-based encodings can be clustered into one or more clusters of parameter-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of parameter-based encodings.
    Type: Application
    Filed: October 23, 2019
    Publication date: April 29, 2021
    Applicant: Lyft, Inc.
    Inventors: Ivan Kirigan, David Tse-Zhou Lu, Sheng Yang, Ranjith Unnikrishnan, Emilie Jeanne Anne Danna, Weiyi Hou, Daxiao Liu, Suneet Rajendra Shah, Ying Liu
  • Publication number: 20200406905
    Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A schema-based encoding describing the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the schema-based encoding provides a structured representation of the environment during the period of time.
    Type: Application
    Filed: March 12, 2020
    Publication date: December 31, 2020
    Applicant: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Publication number: 20200409912
    Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Publication number: 20200409374
    Abstract: Systems, methods, and non-transitory computer-readable media can access a first set of schema-based encodings associated with a first environment, wherein a schema-based encoding provides a structured representation of an environment based on a scenario schema. First information representing scenario information associated with the first environment can be generated based at least in part on the first set of schema-based encodings. One or more attributes for the first environment can be determined based at least in part the first information.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: Lyft, Inc.
    Inventors: Lina Dong, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet, Shaohui Sun
  • Patent number: 10625748
    Abstract: Systems, methods, and non-transitory computer-readable media can determine sensor data captured by at least one sensor of a vehicle while navigating an environment over a period of time. Information describing one or more agents associated with the environment during the period of time can be determined based at least in part on the captured sensor data. A schema-based encoding describing the environment during the period of time can be generated based at least in part on the determined information and a scenario schema, wherein the schema-based encoding provides a structured representation of the environment during the period of time.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: April 21, 2020
    Assignee: Lyft, Inc.
    Inventors: Lina Dong, Shaohui Sun, Weiyi Hou, Somesh Khandelwal, Ivan Kirigin, Shaojing Li, Ying Liu, David Tse-Zhou Lu, Robert Charles Kyle Pinkerton, Vinay Shet