Patents by Inventor Utku Eren

Utku Eren 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: 11537127
    Abstract: Systems and methods for vehicle motion planning based on uncertainty are provided. A method can include obtaining scene data descriptive of one or more objects within a surrounding environment of the autonomous vehicle. The method can include determining one or more subproblems based at least in part on the scene data. In some implementation, each of the one or more subproblems can correspond to at least one object within the surrounding environment of the autonomous vehicle. The method can include generating one or more branching policies based at least in part on the one or more subproblems. In some implementations, each of the one or more branching policies can include scene data associated with the autonomous vehicle and one or more objects within the surrounding environment of the autonomous vehicle. The method can include determining one or more costs associated each of the one or more branching policies.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: December 27, 2022
    Assignee: UATC, LLC
    Inventors: Eric Lloyd Wilkinson, Michael Lee Phillips, David Mcallister Bradley, Zakary Warren Littlefield, Aum Jadhav, Utku Eren, Samuel Philip Marden, Colin Jeffrey Green
  • Patent number: 11390300
    Abstract: The present disclosure is directed generating candidate trajectories and selecting one of them to be implemented. In particular, a computing system can obtain an initial travel path for an autonomous vehicle. The computing system can obtain sensor data describing objects within an environment of the autonomous vehicle. The computing system can generate a plurality of trajectories for the autonomous vehicle based on the sensor data and the initial travel path. The computing system can determine whether the initial travel path, an offset profile, and a velocity profile meet flatness criteria. In response to determining that the initial travel path, the offset profile, and the velocity profile meet the flatness criteria, the computing system can combine the initial travel path, the offset profile, and the velocity profile into the respective trajectory. The computing system can determine a trajectory from the plurality of trajectories.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: July 19, 2022
    Assignee: UATC, LLC
    Inventors: Michael Lee Phillips, David McAllister Bradley, Utku Eren, Chenggang Liu, Daoyuan Jia, Eric Michael Perko, Samuel Philip Marden, Kalin Vasilev Gochev, Moslem Kazemi
  • Publication number: 20210114617
    Abstract: The present disclosure is directed generating candidate trajectories and selecting one of them to be implemented. In particular, a computing system can obtain an initial travel path for an autonomous vehicle. The computing system can obtain sensor data describing objects within an environment of the autonomous vehicle. The computing system can generate a plurality of trajectories for the autonomous vehicle based on the sensor data and the initial travel path. The computing system can determine whether the initial travel path, an offset profile, and a velocity profile meet flatness criteria. In response to determining that the initial travel path, the offset profile, and the velocity profile meet the flatness criteria, the computing system can combine the initial travel path, the offset profile, and the velocity profile into the respective trajectory. The computing system can determine a trajectory from the plurality of trajectories.
    Type: Application
    Filed: September 8, 2020
    Publication date: April 22, 2021
    Inventors: Michael Lee Phillips, David McAllister Bradley, Utku Eren, Chenggang Liu, Daoyuan Jia, Eric Michael Perko, Samuel Philip Marden, Kalin Vasilev Gochev, Moslem Kazemi
  • Publication number: 20210080955
    Abstract: Systems and methods for vehicle motion planning based on uncertainty are provided. A method can include obtaining scene data descriptive of one or more objects within a surrounding environment of the autonomous vehicle. The method can include determining one or more subproblems based at least in part on the scene data. In some implementation, each of the one or more subproblems can correspond to at least one object within the surrounding environment of the autonomous vehicle. The method can include generating one or more branching policies based at least in part on the one or more subproblems. In some implementations, each of the one or more branching policies can include scene data associated with the autonomous vehicle and one or more objects within the surrounding environment of the autonomous vehicle. The method can include determining one or more costs associated each of the one or more branching policies.
    Type: Application
    Filed: December 13, 2019
    Publication date: March 18, 2021
    Inventors: Eric Lloyd Wilkinson, Michael Lee Phillips, David McAllister Bradley, Zakary Warren Littlefield, Aum Jadhav, Utku Eren, Samuel Philip Marden, Colin Jeffrey Green