Patents by Inventor Inderjot Singh Saggu
Inderjot Singh 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).
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Publication number: 20240144701Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining an image of an environment. A drivable area and boundary information associated with the environment are determined based on the image. At least one boundary for navigation of the environment is generated based on the drivable area and boundary information.Type: ApplicationFiled: October 31, 2022Publication date: May 2, 2024Inventors: Inderjot Singh Saggu, Abhishek Bhatia, Ankur Agarwal
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Patent number: 11922703Abstract: This application is directed to generic obstacle detection for at least partially autonomous vehicle driving. A first vehicle obtains a road image. The road image includes a road surface along which the first vehicle is travelling. The first vehicle identifies one or more identifiable objects on the road surface in the road image. The first vehicle detects a plurality of objects on the road surface in the road image. The first vehicle eliminates the one or more identifiable objects from the plurality of objects in the road image to determine one or more unidentifiable objects on the road surface in the road image. The first vehicle at least partially autonomously drives the first vehicle by treating the one or more unidentifiable objects differently from the one or more identifiable objects.Type: GrantFiled: April 6, 2023Date of Patent: March 5, 2024Assignee: PlusAI, Inc.Inventor: Inderjot Singh Saggu
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Publication number: 20240005641Abstract: This application is directed to augmenting training images used for generating vehicle driving models. A computer system obtains a first image of a road, identifies within the first image a drivable area of the road, obtains an image of a traffic safety object, and determines a detour path on the drivable area. The computer system determines positions of a plurality of traffic safety objects to be placed adjacent to the detour path, and generates a second image from the first image by adaptively overlaying a respective copy of the image of the traffic safety object at each of the positions of the plurality of traffic safety objects on the drivable area within the first image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving a vehicle (e.g., at least partial autonomously).Type: ApplicationFiled: December 16, 2022Publication date: January 4, 2024Inventors: Abhishek BHATIA, Inderjot Singh Saggu, Ankur Agarwal
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Publication number: 20240001849Abstract: This application is directed to augmenting training images used for generating a model for monitoring vehicle drivers. A computer system obtains a first image of a first driver in an interior of a first vehicle and separates, from the first image, a first driver image from a first background image of the interior of the first vehicle. The computer system obtains a second background image and generates a second image by overlaying the first driver image on the second background image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for monitoring vehicle drivers. In some embodiments, at least one of the first driver image and the second background image is adjusted to match lighting conditions, average intensities, and sizes of the first driver image and the second background image.Type: ApplicationFiled: May 25, 2023Publication date: January 4, 2024Inventors: Sai Akhil Suggu, Inderjot Singh SAGGU
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Publication number: 20240005642Abstract: This application is directed to augmenting training data used for vehicle driving modelling. A computer system obtains a first image of a road and identifies a drivable area of the road within the first image. The computer system obtains an image of an object and generates a second image from the first image by overlaying the image of the object over the drivable area. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving of a vehicle (e.g., at least partial autonomously). In some embodiments, the computer system applies machine learning to train a model using the corpus of training images and distributes the model to one or more vehicles. In use, the model processes road images captured by the one or more vehicles to facilitate vehicle driving.Type: ApplicationFiled: May 25, 2023Publication date: January 4, 2024Inventors: Inderjot Singh Saggu, Anurag PAUL, Mianwei ZHOU
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Publication number: 20230419688Abstract: A computer system obtains a plurality of road images captured by one or more cameras attached to one or more vehicles. The one or more vehicles execute a model that facilitates driving of the one or more vehicles. For each road image of the plurality of road images, the computer system determines, in the road image, a fraction of pixels having an ambiguous lane marker classification. Based on the fraction of pixels, the computer system determines whether the road image is an ambiguous image for lane marker classification. In accordance with a determination that the road image is an ambiguous image for lane marker classification, the computer system enables labeling of the image and adds the labeled image into a corpus of training images for retraining the model.Type: ApplicationFiled: December 15, 2022Publication date: December 28, 2023Inventor: Inderjot Singh Saggu
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Patent number: 11702011Abstract: This application is directed to augmenting training images used for generating a model for monitoring vehicle drivers. A computer system obtains a first image of a first driver in an interior of a first vehicle and separates, from the first image, a first driver image from a first background image of the interior of the first vehicle. The computer system obtains a second background image and generates a second image by overlaying the first driver image on the second background image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for monitoring vehicle drivers. In some embodiments, at least one of the first driver image and the second background image is adjusted to match lighting conditions, average intensities, and sizes of the first driver image and the second background image.Type: GrantFiled: June 30, 2022Date of Patent: July 18, 2023Assignee: PlusAI, Inc.Inventors: Sai Akhil Suggu, Inderjot Singh Saggu
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Patent number: 11699282Abstract: This application is directed to augmenting training data used for vehicle driving modelling. A computer system obtains a first image of a road and identifies a drivable area of the road within the first image. The computer system obtains an image of an object and generates a second image from the first image by overlaying the image of the object over the drivable area. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving of a vehicle (e.g., at least partial autonomously). In some embodiments, the computer system applies machine learning to train a model using the corpus of training images and distributes the model to one or more vehicles. In use, the model processes road images captured by the one or more vehicles to facilitate vehicle driving.Type: GrantFiled: June 30, 2022Date of Patent: July 11, 2023Assignee: PlusAI, Inc.Inventors: Inderjot Singh Saggu, Anurag Paul, Mianwei Zhou
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Patent number: 11623664Abstract: An autonomous vehicle can obtain sensor data. Upon determining that the autonomous vehicle is in a lane adjacent a shoulder, and there is an object in the shoulder, the autonomous vehicle can determine if performing a lane change maneuver out of the lane prior to the autonomous vehicle being positioned adjacent to the object is feasible. If it is, the lane change maneuver can be performed. If it is not, a nudge maneuver and/or a deceleration can be performed.Type: GrantFiled: September 29, 2022Date of Patent: April 11, 2023Assignee: PlusAI, Inc.Inventors: Anurag Ganguli, Amit Kumar, Timothy P. Daly, Jr., Anurag Paul, Inderjot Singh Saggu, Lichun Yang
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Patent number: 11574462Abstract: This application is directed to augmenting training images used for generating vehicle driving models. A computer system obtains a first image of a road, identifies within the first image a drivable area of the road, obtains an image of a traffic safety object, and determines a detour path on the drivable area. The computer system determines positions of a plurality of traffic safety objects to be placed adjacent to the detour path, and generates a second image from the first image by adaptively overlaying a respective copy of the image of the traffic safety object at each of the positions of the plurality of traffic safety objects on the drivable area within the first image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving a vehicle (e.g., at least partial autonomously).Type: GrantFiled: June 30, 2022Date of Patent: February 7, 2023Assignee: Plus AI, Inc.Inventors: Abhishek Bhatia, Inderjot Singh Saggu, Ankur Agarwal
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Patent number: 11551459Abstract: A computer system obtains a plurality of road images captured by one or more cameras attached to one or more vehicles. The one or more vehicles execute a model that facilitates driving of the one or more vehicles. For each road image of the plurality of road images, the computer system determines, in the road image, a fraction of pixels having an ambiguous lane marker classification. Based on the fraction of pixels, the computer system determines whether the road image is an ambiguous image for lane marker classification. In accordance with a determination that the road image is an ambiguous image for lane marker classification, the computer system enables labeling of the image and adds the labeled image into a corpus of training images for retraining the model.Type: GrantFiled: June 27, 2022Date of Patent: January 10, 2023Assignee: PlusAI, Inc.Inventor: Inderjot Singh Saggu
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Patent number: 11541910Abstract: An autonomous vehicle can obtain sensor data. Upon determining that the autonomous vehicle is in a lane adjacent a shoulder, and there is an object in the shoulder, the autonomous vehicle can determine if performing a lane change maneuver out of the lane prior to the autonomous vehicle being positioned adjacent to the object is feasible. If it is, the lane change maneuver can be performed. If it is not, a nudge maneuver and/or a deceleration can be performed.Type: GrantFiled: January 7, 2022Date of Patent: January 3, 2023Assignee: PlusAI, Inc.Inventors: Anurag Ganguli, Amit Kumar, Timothy P. Daly, Jr., Anurag Paul, Inderjot Singh Saggu, Lichun Yang