Patents by Inventor Poornima Kaniarasu

Poornima Kaniarasu 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).

  • Goal-directed occupancy prediction for autonomous driving
    Patent number: 11531346
    Abstract: An autonomous vehicle can obtain state data associated with an object in an environment, obtain map data including information associated with spatial relationships between at least a subset of lanes of a road network, and determine a set of candidate paths that the object may follow in the environment based at least in part on the spatial relationships between at least two lanes of the road network. Each candidate path can include a respective set of spatial cells. The autonomous vehicle can determine, for each candidate path, a predicted occupancy for each spatial cell of the respective set of spatial cells of such candidate path during at least a portion of a prediction time horizon. The autonomous vehicle can generate prediction data associated with the object based at least in part on the predicted occupancy for each spatial cell of the respective set of spatial cells for at least one candidate path.
    Type: Grant
    Filed: April 20, 2020
    Date of Patent: December 20, 2022
    Assignee: UATC, LLC
    Inventors: Micol Marchetti-Bowick, Poornima Kaniarasu, Galen Clark Haynes
  • Goal-Directed Occupancy Prediction for Autonomous Driving
    Publication number: 20210004012
    Abstract: An autonomous vehicle can obtain state data associated with an object in an environment, obtain map data including information associated with spatial relationships between at least a subset of lanes of a road network, and determine a set of candidate paths that the object may follow in the environment based at least in part on the spatial relationships between at least two lanes of the road network. Each candidate path can include a respective set of spatial cells. The autonomous vehicle can determine, for each candidate path, a predicted occupancy for each spatial cell of the respective set of spatial cells of such candidate path during at least a portion of a prediction time horizon. The autonomous vehicle can generate prediction data associated with the object based at least in part on the predicted occupancy for each spatial cell of the respective set of spatial cells for at least one candidate path.
    Type: Application
    Filed: April 20, 2020
    Publication date: January 7, 2021
    Inventors: Micol Marchetti-Bowick, Poornima Kaniarasu, Galen Clark Haynes