Patents by Inventor GORKEM KAR

GORKEM KAR 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: 10332020
    Abstract: A system and method for identifying a vehicle driver based on driver behaviors. The system and method include analyzing a sequence of vehicle start-up behaviors for rapid identification of the driver. The start-up analysis includes detecting and evaluating the sequence and timing of events including door opening, door closing, seat belt fastening, ignition switch usage and shift/drive, among others. The technique further includes analyzing a set of longitudinal (or long-term) behaviors for more robust verification of driver identification. The longitudinal behaviors include acceleration and braking patterns, speed pattern (compared to road type and speed limit), stop sign behavior, cruise control usage and many others. Statistical clustering techniques are employed for both the start-up and longitudinal behavior analyses to identify the driver.
    Type: Grant
    Filed: October 3, 2016
    Date of Patent: June 25, 2019
    Assignees: GM GLOBAL TECHNOLOGY OPERATIONS LLC, RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
    Inventors: Fan Bai, Gorkem Kar, Douglas C. Martin, Donald K. Grimm, Marco Gruteser
  • Publication number: 20170147935
    Abstract: A system and method for identifying a vehicle driver based on driver behaviors. The system and method include analyzing a sequence of vehicle start-up behaviors for rapid identification of the driver. The start-up analysis includes detecting and evaluating the sequence and timing of events including door opening, door closing, seat belt fastening, ignition switch usage and shift/drive, among others. The technique further includes analyzing a set of longitudinal (or long-term) behaviors for more robust verification of driver identification. The longitudinal behaviors include acceleration and braking patterns, speed pattern (compared to road type and speed limit), stop sign behavior, cruise control usage and many others. Statistical clustering techniques are employed for both the start-up and longitudinal behavior analyses to identify the driver.
    Type: Application
    Filed: October 3, 2016
    Publication date: May 25, 2017
    Inventors: FAN BAI, GORKEM KAR, DOUGLAS C. MARTIN, DONALD K. GRIMM, MARCO GRUTESER