Patents by Inventor Shreyash Pandey

Shreyash Pandey 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 object detection and motion prediction by fusing multiple sensor sweeps into a range view representation
    Patent number: 11762094
    Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: September 19, 2023
    Assignee: UATC, LLC
    Inventors: Ankit Laddha, Gregory P. Meyer, Jake Scott Charland, Shivam Gautam, Shreyash Pandey, Carlos Vallespi-Gonzalez, Carl Knox Wellington
  • Systems and Methods for Object Detection and Motion Prediction by Fusing Multiple Sensor Sweeps into a Range View Representation
    Publication number: 20210278539
    Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.
    Type: Application
    Filed: November 6, 2020
    Publication date: September 9, 2021
    Inventors: Ankit Laddha, Gregory P. Meyer, Jake Scott Charland, Shivam Gautam, Shreyash Pandey, Carlos Vallespi-Gonzalez, Carl Knox Wellington