Patents by Inventor John Evan Bares

John Evan Bares 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).

  • Machine learning for event detection and classification in autonomous vehicles
    Patent number: 10520947
    Abstract: The present disclosure provides systems and methods for automatic event detection and classification for autonomous vehicles. One example method includes obtaining, by one or more computing devices, vehicle data descriptive of vehicle conditions associated with an autonomous vehicle during an autonomous driving session. The method includes extracting, by the one or more computing devices, a plurality of features from the vehicle data. The method includes determining, by the one or more computing devices using a machine-learned classifier, a classification for each of one or more candidate events based at least in part on one or more of the plurality of features that are respectively associated with the one or more candidate events. The method includes associating, by the one or more computing devices, the classification determined for each of the one or more candidate events with the vehicle data.
    Type: Grant
    Filed: March 27, 2017
    Date of Patent: December 31, 2019
    Assignee: UATC, LLC
    Inventors: Chenggang Liu, John Evan Bares
  • Machine Learning for Event Detection and Classification in Autonomous Vehicles
    Publication number: 20180275667
    Abstract: The present disclosure provides systems and methods for automatic event detection and classification for autonomous vehicles. One example method includes obtaining, by one or more computing devices, vehicle data descriptive of vehicle conditions associated with an autonomous vehicle during an autonomous driving session. The method includes extracting, by the one or more computing devices, a plurality of features from the vehicle data. The method includes determining, by the one or more computing devices using a machine-learned classifier, a classification for each of one or more candidate events based at least in part on one or more of the plurality of features that are respectively associated with the one or more candidate events. The method includes associating, by the one or more computing devices, the classification determined for each of the one or more candidate events with the vehicle data.
    Type: Application
    Filed: March 27, 2017
    Publication date: September 27, 2018
    Inventors: Chenggang Liu, John Evan Bares