Patents by Inventor Katie Z. Luo

Katie Z. Luo 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).

  • Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting
    Publication number: 20240096083
    Abstract: A computer-implemented method for determining scene-consistent motion forecasts from sensor data can include obtaining scene data including one or more actor features. The computer-implemented method can include providing the scene data to a latent prior model, the latent prior model configured to generate scene latent data in response to receipt of scene data, the scene latent data including one or more latent variables. The computer-implemented method can include obtaining the scene latent data from the latent prior model. The computer-implemented method can include sampling latent sample data from the scene latent data. The computer-implemented method can include providing the latent sample data to a decoder model, the decoder model configured to decode the latent sample data into a motion forecast including one or more predicted trajectories of the one or more actor features.
    Type: Application
    Filed: November 27, 2023
    Publication date: March 21, 2024
    Inventors: Sergio Casas, Cole Christian Gulino, Shun Da Suo, Katie Z. Luo, Renjie Liao, Raquel Urtasun
  • Systems and methods for latent distribution modeling for scene-consistent motion forecasting
    Patent number: 11842530
    Abstract: A computer-implemented method for determining scene-consistent motion forecasts from sensor data can include obtaining scene data including one or more actor features. The computer-implemented method can include providing the scene data to a latent prior model, the latent prior model configured to generate scene latent data in response to receipt of scene data, the scene latent data including one or more latent variables. The computer-implemented method can include obtaining the scene latent data from the latent prior model. The computer-implemented method can include sampling latent sample data from the scene latent data. The computer-implemented method can include providing the latent sample data to a decoder model, the decoder model configured to decode the latent sample data into a motion forecast including one or more predicted trajectories of the one or more actor features.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: December 12, 2023
    Assignee: UATC, LLC
    Inventors: Sergio Casas, Cole Christian Gulino, Shun Da Suo, Katie Z. Luo, Renjie Liao, Raquel Urtasun
  • Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting
    Publication number: 20210276595
    Abstract: A computer-implemented method for determining scene-consistent motion forecasts from sensor data can include obtaining scene data including one or more actor features. The computer-implemented method can include providing the scene data to a latent prior model, the latent prior model configured to generate scene latent data in response to receipt of scene data, the scene latent data including one or more latent variables. The computer-implemented method can include obtaining the scene latent data from the latent prior model. The computer-implemented method can include sampling latent sample data from the scene latent data. The computer-implemented method can include providing the latent sample data to a decoder model, the decoder model configured to decode the latent sample data into a motion forecast including one or more predicted trajectories of the one or more actor features.
    Type: Application
    Filed: January 15, 2021
    Publication date: September 9, 2021
    Inventors: Sergio Casas, Cole Chistian Gulino, Shun Da Suo, Katie Z. Luo, Renjie Liao, Raquel Urtasun