公开(公告)号：US20240233410A1

公开(公告)日：2024-07-11

申请号：US18405185

申请日：2024-01-05

Applicant: BrightAl Corporation

Inventor： Ryan James Goss ,  Graham David Ferris ,  Mark Norgren ,  Robert Parker ,  Daniel John Benjamin ,  John Tafoya

IPC: G06V20/64 ,  G01S17/86 ,  G01S17/89 ,  G06V10/147 ,  G06V20/05 ,  G06V20/20

CPC classification number: G06V20/647 ,  G01S17/86 ,  G01S17/89 ,  G06V10/147 ,  G06V20/05 ,  G06V20/20 ,  G06V2201/12

Abstract: An improved measuring device has been developed by combining a visual detector such as a camera, digital distance measuring device, and a positional sensor. The system uses positional measurements of the device along with distance measurements to generate a point cloud and uses the visual image along with distance measurements to identify and label objects. The point cloud and labeled objects are combined to generate a schematic of the environment being measured and extract relevant measurements.

公开(公告)号：US11908186B2

公开(公告)日：2024-02-20

申请号：US18184619

申请日：2023-03-15

Applicant: MCKINSEY & COMPANY, INC.

Inventor： Liangliang Zhang ,  Alfonso Encinas Fernandez ,  Charlie Gascon ,  Derek Chu ,  Kelsey Elwood Carter ,  Nicolas Charles Michel Bellemans

IPC: G06V20/10

CPC classification number: G06V20/188 ,  G06V20/182 ,  G06V2201/12

Abstract: Systems and methods for optimizing asset maintenance protocols by predicting vegetation-driven outages are disclosed. An example method includes determining, by one or more processors, a failure probability for each asset in a set of assets within a designated area. The example method further includes defining, by the one or more processors, an asset risk for each asset in the set of assets based on the failure probability, and clustering, by the one or more processors, vegetation within the designated area to determine a predicted vegetation-driven outage. The example method further includes optimizing, by the one or more processors, a set of asset maintenance protocols corresponding to the set of assets based on the asset risk and the predicted vegetation-driven outage.

公开(公告)号：US11816907B2

公开(公告)日：2023-11-14

申请号：US17665653

申请日：2022-02-07

Applicant: Pointivo, Inc.

Inventor： Habib Fathi ,  Miguel M. Serrano ,  Bradden John Gross ,  Daniel L. Ciprari

IPC: G06V20/70 ,  G06T7/55 ,  G06V20/10 ,  G06V20/64 ,  G06F18/23 ,  G06T17/00

CPC classification number: G06V20/70 ,  G06F18/23 ,  G06T7/55 ,  G06T17/00 ,  G06V20/10 ,  G06V20/64 ,  G06V20/647 ,  G06T2207/10028 ,  G06V2201/12

Abstract: Examples of various method and systems are provided for information extraction from scene information. 2D image information can be generated from 2D images of the scene that are overlapping at least part of one or more object(s). The 2D image information can be combined with 3D information about the scene incorporating at least part of the object(s) to generate projective geometry information. Clustered 3D information associated with the object(s) can be generated by partitioning and grouping 3D data points present in the 3D information. The clustered 3D information can be used to provide, e.g., measurement information, dimensions, geometric information, and/or topological information about the object(s). Segmented 2D information can also be generated from the 2D image information. Validated 2D and 3D information can be produced by cross-referencing between the projective geometry information, clustered 3D information, and/or segmented 2D image information, and used to label the object(s) in the scene.

公开(公告)号：US20230350418A1

公开(公告)日：2023-11-02

申请号：US17786802

申请日：2020-12-04

Applicant: Cariad SE

Inventor： Michael Holicki

IPC: G05D1/02 ,  G01C21/00 ,  G06V10/774 ,  G06V20/56 ,  G06V10/82

CPC classification number: G05D1/0246 ,  G01C21/3848 ,  G06V10/774 ,  G06V20/56 ,  G06V10/82 ,  G06V2201/12

Abstract: A method for training an artificial neural generator network for the generating of synthetic landmark images is provided, in which landmark images are extracted from at least one training map as training data, which form a first training data set, and the generator network as a generator of a generative adversarial network learns with the aid of the first training data set and with the aid of real, non-annotated image data, recorded by a sensor device, to generate synthetic landmark images which are suited to reproducing the probability distribution underlying the first training data set. The invention also relates to a method for training an artificial neural localization network by the trained generator network and a method for determining a position of a mobile unit with at least one sensor device and at least one environment map by the trained localization network.

公开(公告)号：US11796309B2

公开(公告)日：2023-10-24

申请号：US17144572

申请日：2021-01-08

Applicant: SONY CORPORATION

Inventor： Shingo Tsurumi

IPC: G06K9/00 ,  G01B11/02 ,  G06F3/0346 ,  G06T19/00 ,  G06F3/01 ,  G06F3/03 ,  G06T7/60 ,  G06V40/10 ,  G01B11/00 ,  G02B27/01

CPC classification number: G01B11/02 ,  G01B11/002 ,  G02B27/0172 ,  G06F3/013 ,  G06F3/0304 ,  G06F3/0346 ,  G06T7/60 ,  G06T19/00 ,  G06T19/006 ,  G06V40/10 ,  G02B2027/0178 ,  G06V2201/12

Abstract: There is provided an information processing apparatus to measure a distance in a real space with a simpler operation, the information processing apparatus including: an acquisition section that acquires an image captured by a predetermined imaging section, and position information based on at least any of a position and a direction of the imaging section; an estimation section that estimates a first position and a second position in a real space, on a basis of a first image and a second image which are the image captured at each of a first viewpoint and a second viewpoint, and first position information and second position information which are the position information about each of the first viewpoint and the second viewpoint; and a measurement section that measures a distance between the first position and the second position on a basis of the estimation result.

公开(公告)号：US20230306781A1

公开(公告)日：2023-09-28

申请号：US18326332

申请日：2023-05-31

Applicant: Google LLC

Inventor： Idris Syed Aleem ,  Daniel David Albin Balzerson

IPC: G06V40/16 ,  G02B27/01 ,  G06F3/01

CPC classification number: G06V40/165 ,  G02B27/0172 ,  G06F3/013 ,  G02B2027/0138 ,  G06V2201/12

Abstract: A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. The system and method may include capturing image data including a face of a user to be fitted for the head mounted wearable computing device. A three-dimensional head pose and gaze measurements may be extracted and a three-dimensional model may be developed from the captured image data. The system may detect display fit measurements and/or ophthalmic fit measurements from the three-dimensional model, and may provide one or more head mounted wearable computing devices that meet the display fit and/or ophthalmic fit requirements.

公开(公告)号：US20230221102A1

公开(公告)日：2023-07-13

申请号：US18185610

申请日：2023-03-17

Applicant: Honeywell International Inc.

Inventor： Tao Xian ,  Chen Feng ,  Paul Poloniewicz ,  Scott Bracken

IPC: G01B5/00 ,  G06V10/141 ,  G06T7/521

CPC classification number: G01B5/0014 ,  G06V10/141 ,  G06T7/521 ,  G06V2201/12

Abstract: An optical dimensioning system includes one or more light emitting assemblies configured to project one or more predetermined patterns on an object; an imaging assembly configured to sense light scattered and/or reflected off the object, and to capture an image of the object while the patterns are projected; and a processing assembly configured to analyze the image of the object to determine one or more dimension parameters of the object. The light emitting assembly may include a single piece optical component configured for producing a first pattern and second pattern. The patterns may be distinguishable based on directional filtering, feature detection, feature shift detection, or the like. A method for optical dimensioning includes illuminating an object with at least two detectable patterns; and calculating dimensions of the object by analyzing pattern separate of the elements comprising the projected patterns. One or more pattern generators may produce the patterns.

公开(公告)号：US20240093984A1

公开(公告)日：2024-03-21

申请号：US18088302

申请日：2022-12-23

Applicant: Meta Platforms Technologies, LLC

Inventor： Guohua Wei ,  Petr Markov ,  Qing Chao

IPC: G01B11/25 ,  G02B6/12 ,  G02B27/00 ,  G02B27/01 ,  G06V40/18 ,  H01S5/183 ,  H01S5/40

CPC classification number: G01B11/2513 ,  G02B6/12004 ,  G02B27/0093 ,  G02B27/017 ,  G06V40/18 ,  H01S5/18305 ,  H01S5/4031 ,  G02B2006/12038 ,  G02B2006/1204 ,  G02B2006/12061 ,  G02B2027/0178 ,  G06V2201/12

Abstract: An optical system is configured to support eye tracking operations in a head mounted device. The optical system includes a transparent layer, a laser, and first and second output couplers. The laser is configured to emit light into the transparent layer. The first output coupler is configured to out-couple a first portion of the light from a first location of the transparent layer. The second output coupler is configured to out-couple a second portion of the light from a second location of the transparent layer. The first and second output couplers are in the field-of-view of a user. A combination of the first portion of the light and the second portion of the light out-coupled from the first output coupler and the second output coupler is configured to generate a fringe pattern, for example, on an eye of a user of the head mounted device.

公开(公告)号：US20240046567A1

公开(公告)日：2024-02-08

申请号：US17817776

申请日：2022-08-05

Applicant: Adobe Inc.

Inventor： Siddhartha Chaudhuri ,  Bo Sun ,  Vladimir Kim ,  Noam Aigerman

IPC: G06T17/20 ,  G06V10/22 ,  G06V10/75

CPC classification number: G06T17/20 ,  G06V10/22 ,  G06V10/754 ,  G06V2201/12

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed that utilizes machine learning models for patch retrieval and deformation in completing three-dimensional digital shapes. In particular, in one or more implementations the disclosed systems utilize a machine learning model to predict a coarse completion shape from an incomplete 3D digital shape. The disclosed systems sample coarse 3D patches from the coarse 3D digital shape and learn a shape distance function to retrieve detailed 3D shape patches in the input shape. Moreover, the disclosed systems learn a deformation for each retrieved patch and blending weights to integrate the retrieved patches into a continuous surface.

公开(公告)号：US20230396735A1

公开(公告)日：2023-12-07

申请号：US18033855

申请日：2021-07-07

Applicant: Telefonaktiebolaget LM Ericsson (publ)

Inventor： Ali El Essaili ,  Natalya Tyudina ,  Joerg Christian Ewert ,  Ola Melander

IPC: H04N7/15 ,  G06V40/10

CPC classification number: H04N7/157 ,  G06V40/10 ,  G06V2201/12

Abstract: A method for providing a three-dimensional (3D) representation of a transmitting participant in a virtual meeting is provided. The method is performed in a representation provider and comprises obtaining a non-realtime 3D model of at least part of a person, obtaining partial realtime 3D data of the transmitting participant of the virtual meeting, and combining the non-realtime 3D model with the partial realtime 3D data, resulting in a combined 3D representation of the transmitting participant.