公开(公告)号：US11954907B2

公开(公告)日：2024-04-09

申请号：US17356933

申请日：2021-06-24

Applicant: X Development LLC

Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld

IPC: G06V20/10 ,  G06F16/29 ,  G06F16/587 ,  G06F18/2413 ,  G06F30/18 ,  G06T5/30 ,  G06T7/50 ,  G06T7/60 ,  G06T7/73 ,  G06T11/20 ,  G06T17/05 ,  H02J3/00

CPC classification number: G06V20/182 ,  G06F16/29 ,  G06F16/587 ,  G06F18/24133 ,  G06F30/18 ,  G06T5/30 ,  G06T7/50 ,  G06T7/60 ,  G06T7/73 ,  G06T7/75 ,  G06T11/206 ,  G06T17/05 ,  G06V20/176 ,  H02J3/00 ,  G06T2207/10032 ,  G06T2207/30184 ,  G06V20/194 ,  H02J2203/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid modeling using surfel data are enclosed. An electric grid wire identification method includes: obtaining a set of surface elements (surfels), wherein each surfel of the set of surfels represents a portion of a surface of an object in a geographic region; selecting, based on one or more surfel attributes, one or more surfels of the set of surfels that each represent a portion of a surface of an electric grid wire; generating a representation of the electric grid wire from the selected one or more surfels; and adding the representation of the electric grid wire to a virtual model of the electric grid. Obtaining the set of surfels can include obtaining ranging data of the geographic region; and generating the set of surfels from the ranging data.

公开(公告)号：US20240113555A1

公开(公告)日：2024-04-04

申请号：US17959948

申请日：2022-10-04

Applicant: X Development LLC

Inventor： Phillip Ellsworth Stahlfeld ,  Ananya Gupta ,  Xinyue Li ,  Lucas Michael Ackerknecht

IPC: H02J13/00 ,  G05B13/02 ,  G05B13/04

CPC classification number: H02J13/00002 ,  G05B13/0265 ,  G05B13/042 ,  H02J2203/20

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for configuring location-specific electrical load models while preserving privacy. A first machine learning model configured to predict electrical load curves of an electrical utility grid can be obtained from a server. Load values associated with a particular region of the electrical utility grid can be obtained. The load values can be applied as calibration input to the first machine learning model to produce first adjustment parameters for the first machine learning model. The first adjustment parameters can be provided to the server.

公开(公告)号：US20230326180A1

公开(公告)日：2023-10-12

申请号：US18210352

申请日：2023-06-15

Applicant: X Development LLC

Inventor： Phillip Ellsworth Stahlfeld

IPC: G06V10/764 ,  G06F17/15 ,  G06N3/045 ,  G06V10/82 ,  G06V20/13 ,  G06V20/17 ,  G06V20/52

CPC classification number: G06V10/764 ,  G06F17/15 ,  G06N3/045 ,  G06V10/82 ,  G06V20/13 ,  G06V20/17 ,  G06V20/52

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.

公开(公告)号：US11721088B2

公开(公告)日：2023-08-08

申请号：US17458095

申请日：2021-08-26

Applicant: X Development LLC

Inventor： Phillip Ellsworth Stahlfeld

IPC: G06F17/15 ,  G06V10/82 ,  G06V20/13 ,  G06V20/17 ,  G06V20/52 ,  G06V10/764 ,  G06N3/045

CPC classification number: G06V10/764 ,  G06F17/15 ,  G06N3/045 ,  G06V10/82 ,  G06V20/13 ,  G06V20/17 ,  G06V20/52

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.

公开(公告)号：US20230237644A1

公开(公告)日：2023-07-27

申请号：US18160276

申请日：2023-01-26

Applicant: X Development LLC

Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld ,  Kshitij Naresh Nikhal ,  Om Prakash Ravi ,  Aviva Cheryl Shwaid ,  Arthur Robert Pope ,  Xinyue Li

IPC: G06T7/00 ,  G06V10/82 ,  G06T7/11

CPC classification number: G06T7/001 ,  G06V10/82 ,  G06T7/11 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/20132

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a classification neural network. The system generates, from a set of object-specific data, one or more meta-learning datasets for one or more respective initial training tasks. The system determines values for a set of meta parameters by performing meta-learning with a classification neural network on the one or more meta-learning datasets. The system obtains a set of labeled training examples for a characteristic-detection task. The system determines based at least on one of the values for the set of meta parameters and using the set of labeled training examples, target values for the network parameters for the classification neural network to perform the characteristic-detection task.

公开(公告)号：US20210406537A1

公开(公告)日：2021-12-30

申请号：US17356933

申请日：2021-06-24

Applicant: X Development LLC

Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld

IPC: G06K9/00 ,  G06T7/73 ,  G06T7/50 ,  G06K9/62 ,  G06F30/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid modeling using surfel data are enclosed. An electric grid wire identification method includes: obtaining a set of surface elements (surfels), wherein each surfel of the set of surfels represents a portion of a surface of an object in a geographic region; selecting, based on one or more surfel attributes, one or more surfels of the set of surfels that each represent a portion of a surface of an electric grid wire; generating a representation of the electric grid wire from the selected one or more surfels; and adding the representation of the electric grid wire to a virtual model of the electric grid. Obtaining the set of surfels can include obtaining ranging data of the geographic region; and generating the set of surfels from the ranging data.

公开(公告)号：US20210383113A1

公开(公告)日：2021-12-09

申请号：US17458095

申请日：2021-08-26

Applicant: X Development LLC

Inventor： Phillip Ellsworth Stahlfeld

IPC: G06K9/00 ,  G06F17/15 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.