Patents by Inventor Meet Pragnesh Shah

Meet Pragnesh Shah 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 end-to-end trajectory prediction using radar, LIDAR, and maps
    Patent number: 11960290
    Abstract: Systems and methods for trajectory prediction are provided. A method can include obtaining LIDAR data, radar data, and map data; inputting the LIDAR data, the radar data, and the map data into a network model; transforming, by the network model, the radar data into a coordinate frame associated with a most recent radar sweep in the radar data; generating, by the network model, one or more features for each of the LIDAR data, the transformed radar data, and the map data; combining, by the network model, the one or more generated features to generate fused feature data; generating, by the network model, prediction data based at least in part on the fused feature data; and receiving, as an output of the network model, the prediction data. The prediction data can include a respective predicted trajectory for a future time period for one or more detected objects.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: April 16, 2024
    Assignee: UATC, LLC
    Inventors: Ankit Laddha, Meet Pragnesh Shah, Zhiling Huang, Duncan Blake Barber, Matthew A. Langford, Carlos Vallespi-Gonzalez, Sida Zhang
  • Systems and Methods for End-to-End Trajectory Prediction Using Radar, Lidar, and Maps
    Publication number: 20220035376
    Abstract: Systems and methods for trajectory prediction are provided. A method can include obtaining LIDAR data, radar data, and map data; inputting the LIDAR data, the radar data, and the map data into a network model; transforming, by the network model, the radar data into a coordinate frame associated with a most recent radar sweep in the radar data; generating, by the network model, one or more features for each of the LIDAR data, the transformed radar data, and the map data; combining, by the network model, the one or more generated features to generate fused feature data; generating, by the network model, prediction data based at least in part on the fused feature data; and receiving, as an output of the network model, the prediction data. The prediction data can include a respective predicted trajectory for a future time period for one or more detected objects.
    Type: Application
    Filed: November 11, 2020
    Publication date: February 3, 2022
    Inventors: Ankit Laddah, Meet Pragnesh Shah, Zhiling Huang, Duncan Blake Barber, Matthew A. Langford, Carlos Vallespi-Gonzalez, Sida Zhang