Patents by Inventor Maxim Krivokon

Maxim Krivokon 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: 11645852
    Abstract: Methods and system are provided for training and using a model to determine states of lanes of interest. For instance, image data including an image and an associated label identifying at least one traffic light, a state of the at least one traffic light, and a lane controlled by the at least one traffic light are received and used to train the model such that the model is configured to, in response to receiving an image and a lane of interest included in the image, output a lane state for the lane of interest. This model is then used by a vehicle in order to determine a state of a lane of interest. This state is then used to control the vehicle in an autonomous driving mode based on the state of the lane of interest.
    Type: Grant
    Filed: June 2, 2021
    Date of Patent: May 9, 2023
    Assignee: Waymo LLC
    Inventors: Maxim Krivokon, Abhijit S. Ogale, Edward Hsiao, Andreas Wendel
  • Publication number: 20210343150
    Abstract: Methods and system are provided for training and using a model to determine states of lanes of interest. For instance, image data including an image and an associated label identifying at least one traffic light, a state of the at least one traffic light, and a lane controlled by the at least one traffic light are received and used to train the model such that the model is configured to, in response to receiving an image and a lane of interest included in the image, output a lane state for the lane of interest. This model is then used by a vehicle in order to determine a state of a lane of interest. This state is then used to control the vehicle in an autonomous driving mode based on the state of the lane of interest.
    Type: Application
    Filed: June 2, 2021
    Publication date: November 4, 2021
    Inventors: Maxim Krivokon, Abhijit S. Ogale, Edward Hsiao, Andreas Wendel
  • Patent number: 11056005
    Abstract: Methods and system are provided for training and using a model to determine states of lanes of interest. For instance, image data including an image and an associated label identifying at least one traffic light, a state of the at least one traffic light, and a lane controlled by the at least one traffic light are received and used to train the model such that the model is configured to, in response to receiving an image and a lane of interest included in the image, output a lane state for the lane of interest. This model is then used by a vehicle in order to determine a state of a lane of interest. This state is then used to control the vehicle in an autonomous driving mode based on the state of the lane of interest.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: July 6, 2021
    Assignee: Waymo LLC
    Inventors: Maxim Krivokon, Abhijit S. Ogale, Edward Hsiao, Andreas Wendel
  • Publication number: 20200135030
    Abstract: Aspects of the disclosure relate to training and using a model for determine states of lanes of interest. For instance, image data including an image and an associated label identifying at least one traffic light, a state of the at least one traffic light, and a lane controlled by the at least one traffic light may be received and used to train the mode such that the model is configured to, in response to receiving an image and a lane of interest included in the image, output a lane state for the lane of interest. This model may then be used by a vehicle in order to determine a state of a lane of interest. This state may then be used to control the vehicle in an autonomous driving mode based on the state of the lane of interest.
    Type: Application
    Filed: October 24, 2018
    Publication date: April 30, 2020
    Inventors: Maxim Krivokon, Abhijit S. Ogale, Edward Hsiao, Andreas Wendel