Patents by Inventor Inderjot Saggu

Inderjot Saggu 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).

  • Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model
    Patent number: 12340597
    Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
    Type: Grant
    Filed: August 16, 2023
    Date of Patent: June 24, 2025
    Assignee: PlusAI, Inc.
    Inventors: Inderjot Saggu, Mianwei Zhou, Ankur Agarwal, Anurag Ganguli
  • METHODS AND APPARATUS FOR AUTOMATIC COLLECTION OF UNDER-REPRESENTED DATA FOR IMPROVING A TRAINING OF A MACHINE LEARNING MODEL
    Publication number: 20230394849
    Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
    Type: Application
    Filed: August 16, 2023
    Publication date: December 7, 2023
    Inventors: Inderjot SAGGU, Mianwei ZHOU, Ankur AGARWAL, Anurag GANGULI
  • Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model
    Patent number: 11836994
    Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
    Type: Grant
    Filed: September 12, 2022
    Date of Patent: December 5, 2023
    Assignee: PlusAI, Inc.
    Inventors: Inderjot Saggu, Mianwei Zhou, Ankur Agarwal, Anurag Ganguli
  • METHODS AND APPARATUS FOR AUTOMATIC COLLECTION OF UNDER-REPRESENTED DATA FOR IMPROVING A TRAINING OF A MACHINE LEARNING MODEL
    Publication number: 20230196792
    Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
    Type: Application
    Filed: September 12, 2022
    Publication date: June 22, 2023
    Inventors: Inderjot SAGGU, Mianwei ZHOU, Ankur AGARWAL, Anurag GANGULI
  • Methods and apparatus for automatic collection of under-represented data for improving a training of a machine learning model
    Patent number: 11443531
    Abstract: In some embodiments, a method can include executing a first machine learning model to detect at least one lane in each image from a first set of images. The method can further include determining an estimate location of a vehicle for each image, based on localization data captured using at least one localization sensor disposed at the vehicle. The method can further include selecting lane geometry data for each image, from a map and based on the estimate location of the vehicle. The method can further include executing a localization model to generate a set of offset values for the first set of images based on the lane geometry data and the at least one lane in each image. The method can further include selecting a second set of images from the first set of images based on the set of offset values and a previously-determined offset threshold.
    Type: Grant
    Filed: December 16, 2021
    Date of Patent: September 13, 2022
    Assignee: PlusAI, Inc.
    Inventors: Inderjot Saggu, Mianwei Zhou, Ankur Agarwal, Anurag Ganguli