Patents by Inventor Deepak Gopinath

Deepak Gopinath 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).

  • Cognitive heat map: a model for driver situational awareness
    Patent number: 11999356
    Abstract: A system includes a camera configured to capture image data of an environment, a monitoring system configured to generate a gaze sequences of a subject, and a computing device communicatively coupled to the camera and the monitoring system. The computing device is configured to receive the image data from the camera and the gaze sequences from the monitoring system, implement a machine learning model comprising a convolutional encoder-decoder neural network configured to process the image data and a side-channel configured to inject the gaze sequences into a decoder stage of the convolutional encoder-decoder neural network, generate, with the machine learning model, a gaze probability density heat map, and generate, with the machine learning model, an attended awareness heat map.
    Type: Grant
    Filed: June 18, 2021
    Date of Patent: June 4, 2024
    Assignee: Toyota Research Institute, Inc.
    Inventors: Guy Rosman, Simon A. I. Stent, Luke Fletcher, John Leonard, Deepak Gopinath, Katsuya Terahata
  • Cognitive Heat Map: A Model for Driver Situational Awareness
    Publication number: 20220153278
    Abstract: A system includes a camera configured to capture image data of an environment, a monitoring system configured to generate a gaze sequences of a subject, and a computing device communicatively coupled to the camera and the monitoring system. The computing device is configured to receive the image data from the camera and the gaze sequences from the monitoring system, implement a machine learning model comprising a convolutional encoder-decoder neural network configured to process the image data and a side-channel configured to inject the gaze sequences into a decoder stage of the convolutional encoder-decoder neural network, generate, with the machine learning model, a gaze probability density heat map, and generate, with the machine learning model, an attended awareness heat map.
    Type: Application
    Filed: June 18, 2021
    Publication date: May 19, 2022
    Applicant: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Guy Rosman, Simon A.I. Stent, Luke Fletcher, John Leonard, Deepak Gopinath, Katsuya Terahata