Patents by Inventor Artem Provodin

Artem Provodin 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).

  • GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
    Publication number: 20230359213
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Application
    Filed: July 19, 2023
    Publication date: November 9, 2023
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • Guiding vehicles through vehicle maneuvers using machine learning models
    Patent number: 11755025
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Grant
    Filed: January 11, 2023
    Date of Patent: September 12, 2023
    Assignee: NVIDIA Corporation
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
    Publication number: 20230168683
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Application
    Filed: January 11, 2023
    Publication date: June 1, 2023
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • Guiding vehicles through vehicle maneuvers using machine learning models
    Patent number: 11609572
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Grant
    Filed: May 17, 2021
    Date of Patent: March 21, 2023
    Assignee: NVIDIA Corporation
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
    Publication number: 20210271254
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Application
    Filed: May 17, 2021
    Publication date: September 2, 2021
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • Guiding vehicles through vehicle maneuvers using machine learning models
    Patent number: 11042163
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: June 22, 2021
    Assignee: NVIDIA Corporation
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller
  • GUIDING VEHICLES THROUGH VEHICLE MANEUVERS USING MACHINE LEARNING MODELS
    Publication number: 20190212749
    Abstract: In various examples, a trigger signal may be received that is indicative of a vehicle maneuver to be performed by a vehicle. A recommended vehicle trajectory for the vehicle maneuver may be determined in response to the trigger signal being received. To determine the recommended vehicle trajectory, sensor data may be received that represents a field of view of at least one sensor of the vehicle. A value of a control input and the sensor data may then be applied to a machine learning model(s) and the machine learning model(s) may compute output data that includes vehicle control data that represents the recommended vehicle trajectory for the vehicle through at least a portion of the vehicle maneuver. The vehicle control data may then be sent to a control component of the vehicle to cause the vehicle to be controlled according to the vehicle control data.
    Type: Application
    Filed: January 7, 2019
    Publication date: July 11, 2019
    Inventors: Chenyi Chen, Artem Provodin, Urs Muller