Patents by Inventor Sourav GARG

Sourav GARG 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).

  • Patent number: 12217450
    Abstract: An approximate camera location on a route can be determined by inputting a first image acquired by a vehicle camera to a first convolutional neural network. First image feature points can be extracted from the first image using a feature extraction algorithm. Pose estimation parameters for a pose estimation algorithm can be selected based on the approximate camera location. A six degree-of-freedom (DoF) camera pose can be determined by inputting the first image feature points and second feature points included in a structure-from-motion (SfM) map based on the route to the pose estimation algorithm which is controlled by the pose estimation parameters. A six DoF vehicle pose can be determined based on the six DoF camera pose.
    Type: Grant
    Filed: February 8, 2022
    Date of Patent: February 4, 2025
    Assignee: Ford Global Technologies, LLC
    Inventors: Ming Xu, Sourav Garg, Michael Milford, Punarjay Chakravarty, Shubham Shrivastava
  • Publication number: 20240404081
    Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine a quantity of relative motion between a host vehicle and a target vehicle; in response to the quantity of relative motion being below a threshold, determine a pose of the host vehicle subject to a constraint on motion of the host vehicle; and in response to the quantity of relative motion being above the threshold, determine the pose of the host vehicle without the constraint.
    Type: Application
    Filed: June 2, 2023
    Publication date: December 5, 2024
    Applicants: Ford Global Technologies, LLC, QUEENSLAND UNIVERSITY OF TECHNOLOGY
    Inventors: Stephen Hausler, Shubham Shrivastava, Punarjay Chakravarty, Ankit Girish Vora, Michael Milford, Sourav Garg
  • Publication number: 20230252667
    Abstract: An approximate camera location on a route can be determined by inputting a first image acquired by a vehicle camera to a first convolutional neural network. First image feature points can be extracted from the first image using a feature extraction algorithm. Pose estimation parameters for a pose estimation algorithm can be selected based on the approximate camera location. A six degree-of-freedom (DoF) camera pose can be determined by inputting the first image feature points and second feature points included in a structure-from-motion (SfM) map based on the route to the pose estimation algorithm which is controlled by the pose estimation parameters. A six DoF vehicle pose can be determined based on the six DoF camera pose.
    Type: Application
    Filed: February 8, 2022
    Publication date: August 10, 2023
    Applicant: Ford Global Technologies, LLC
    Inventors: Ming Xu, Sourav Garg, Michael Milford, Punarjay Chakravarty, Shubham Shrivastava
  • Patent number: 10510038
    Abstract: The system and method for recognizing and counting products within images is disclosed. The products are recognized by carrying out a nearest-neighbor search in the template feature space using a k-d tree and the product count is then obtained by using a maximum feature repeatability index for each identified feature. The system also obtains product arrangement by fitting bounding boxes around each identified product. The count of boxes thus obtained may also provide the exact number of discrete products visible in an image. A second stage of grid-based search is also carried out in the neighborhood of each detected product to detect new products that might have been missed out in the previous step. This detection is based on a confidence measure including information like histogram matching and spatial location of products. This system is also useful in verifying planogram compliance for a given product.
    Type: Grant
    Filed: June 16, 2016
    Date of Patent: December 17, 2019
    Assignee: Tata Consultancy Services Limited
    Inventors: Swagat Kumar, Nishant Kejriwal, Sourav Garg
  • Publication number: 20160371634
    Abstract: The system and method for recognizing and counting products within images is disclosed. The products are recognized by carrying out a nearest-neighbor search in the template feature space using a k-d tree and the product count is then obtained by using a maximum feature repeatability index for each identified feature. The system also obtains product arrangement by fitting bounding boxes around each identified product. The count of boxes thus obtained may also provide the exact number of discrete products visible in an image. A second stage of grid-based search is also carried out in the neighborhood of each detected product to detect new products that might have been missed out in the previous step. This detection is based on a confidence measure including information like histogram matching and spatial location of products. This system is also useful in verifying planogram compliance for a given product.
    Type: Application
    Filed: June 16, 2016
    Publication date: December 22, 2016
    Applicant: Tata Consultancy Services Limited
    Inventors: Swagat KUMAR, Nishant KEJRIWAL, Sourav GARG