Patents by Inventor Mark Douglas Huyler

Mark Douglas Huyler 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: 11858503
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: January 2, 2024
    Assignee: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Publication number: 20220001863
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.
    Type: Application
    Filed: July 13, 2021
    Publication date: January 6, 2022
    Applicant: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Patent number: 11091156
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: August 17, 2021
    Assignee: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Patent number: 10942030
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of features associated with a road segment based at least in part on data captured by one or more sensors of a vehicle. At least one scenario that is associated with the set of features can be determined. The at least one scenario can be associated with the road segment. The associated at least one scenario and the road segment can be maintained in a scenario information database.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: March 9, 2021
    Assignee: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Publication number: 20200189579
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.
    Type: Application
    Filed: November 12, 2019
    Publication date: June 18, 2020
    Applicant: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Publication number: 20200056892
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of features associated with a road segment based at least in part on data captured by one or more sensors of a vehicle. At least one scenario that is associated with the set of features can be determined. The at least one scenario can be associated with the road segment. The associated at least one scenario and the road segment can be maintained in a scenario information database.
    Type: Application
    Filed: August 17, 2018
    Publication date: February 20, 2020
    Applicant: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet
  • Patent number: 10479356
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: November 19, 2019
    Assignee: Lyft, Inc.
    Inventors: Asif Haque, Mark Douglas Huyler, Gerard Joyce, Ying Liu, David Tse-Zhou Lu, Sameer Qureshi, Vinay Shet