公开(公告)号：US11907341B2

公开(公告)日：2024-02-20

申请号：US17283504

申请日：2019-10-09

申请人： SkymatiX, Inc.

发明人： Yasutaka Kuramoto ,  Zentaro Watanabe ,  Masaki Enomoto ,  Houari Sabirin

IPC分类号： G06K9/00 ,  G06F18/40 ,  G06V20/10 ,  G06T7/00 ,  G08G5/00

CPC分类号： G06F18/41 ,  G06T7/0002 ,  G06V20/188 ,  G08G5/0034 ,  G06T2207/10032 ,  G06T2207/20081 ,  G06T2207/30188

摘要： The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.

公开(公告)号：US20240054731A1

公开(公告)日：2024-02-15

申请号：US18359603

申请日：2023-07-26

申请人： FARO Technologies, Inc.

发明人： Matthias Wolke ,  Tharesh Sharma

IPC分类号： G06T19/00 ,  G06T7/73 ,  G06T5/00 ,  G06T17/05 ,  G06T7/33

CPC分类号： G06T19/00 ,  G06T7/75 ,  G06T5/002 ,  G06T17/05 ,  G06T7/344 ,  G06T2207/10032 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2200/04

摘要： A computer-implemented method is provided that includes retrieving at least one selected image from a plurality of aerial images of an environment, the at least one selected image comprising surface regions that are concurrently in a three-dimensional (3D) point cloud of the environment. The method further includes detecting areas of the surface regions in the at least one selected image, such that coordinates of the areas of the surface regions are extracted from the at least one selected image. The method further includes comparing the at least one selected image to the 3D point cloud to align common locations in both the at least one selected image and the 3D point cloud. The method further includes displaying an integration of a drawing of the coordinates of the areas of the surface regions in a representation of the 3D point cloud.

公开(公告)号：US20240037789A1

公开(公告)日：2024-02-01

申请号：US18181101

申请日：2023-03-09

申请人： Kabushiki Kaisha Toshiba

发明人： Misato Nakamura

IPC分类号： G06T7/80 ,  G06T7/246 ,  G06T7/73 ,  H04N23/695

CPC分类号： G06T7/80 ,  G06T7/248 ,  G06T7/74 ,  H04N23/695 ,  G06T2207/30244 ,  G06T2207/10032

摘要： According to one embodiment, an estimation device includes an estimation unit, a control unit, and a SLAM unit. The estimation unit estimates whether motion of a moving object is pure rotation from a plurality of first monocular images acquired by a monocular camera mounted on the moving object. The control unit determines the translation amount for translating the monocular camera in a case in which the motion of the moving object is pure rotation. The SLAM unit estimates at least one of a location or an orientation of the monocular camera, and three-dimensional points of a subject of the monocular camera by monocular simultaneous localization and mapping (SLAM), from the first monocular images and a second monocular image acquired by the monocular camera that is translated based on the translation amount.

公开(公告)号：US11887364B2

公开(公告)日：2024-01-30

申请号：US18296864

申请日：2023-04-06

申请人： Anthony M. Brunetti

发明人： Anthony M. Brunetti

IPC分类号： G06V20/10 ,  G06F16/909 ,  G06V10/10 ,  G01C21/00 ,  G09B29/10 ,  G06T7/70

CPC分类号： G06V20/176 ,  G01C21/387 ,  G06F16/909 ,  G06T7/70 ,  G06V10/17 ,  G09B29/106 ,  G06T2207/10032 ,  G06T2207/20092 ,  G06T2207/30184

摘要： The systems and methods described herein provide improvements to mapping project sites by using ground and/or aerial imagery. A system can receive one or more ground images of site locations within a site area and metadata associated with each of the one or more ground images. The metadata can include GPS coordinates that correspond to the one or more ground images. The system can determine that aerial imagery represents at least the one or more site locations and determine a relative position of each of the one or more site locations within the aerial imagery. Such a determination may be based on the metadata (e.g., on the GPS coordinates). The system can then generate data to display on a user interface one or more features, such as a map, an indication of the site area, and one or more indicators.

公开(公告)号：US20240029254A1

公开(公告)日：2024-01-25

申请号：US17372725

申请日：2020-01-15

申请人： Tata Consultancy Services Limited

发明人： Jayantrao MOHITE ,  Sanjay KIMBAHUNE ,  Srinivasu PAPPULA ,  Dineshkumar SINGH ,  Sanat SARANGI

IPC分类号： G06T7/00 ,  G01N33/00 ,  G06V20/90 ,  G06V20/10 ,  G06V10/762 ,  G06V20/13

CPC分类号： G06T7/0014 ,  G01N33/0098 ,  G06V20/90 ,  G06V20/188 ,  G06V10/762 ,  G06V20/13 ,  G06T2207/10032 ,  G06T2207/30188

摘要： Plant health estimation is required to be performed so as to detect any health issues in early stages, so as to take counter measures. Existing systems for the plant health estimation perform the health estimation by considering data obtained from satellite images of the plants being monitored. However this alone may not be much effective as the satellite images fail to provide information on many parameters which have direct or indirect impact on health of the plants. Disclosed herein are a method and a system for plant health estimation, wherein the system performs health estimation at a macro level and a micro level. The macro level health estimation is done using satellite images of the plants as inputs, whereas the micro level health estimation is done by collecting and processing sensor data with respect to various parameters that affect health of a plant.

公开(公告)号：US20240020924A1

公开(公告)日：2024-01-18

申请号：US18222276

申请日：2023-07-14

申请人： LEICA GEOSYSTEMS AG

发明人： Jan ZAPLETAL ,  Martina BEKROVÀ

IPC分类号： G06T17/05 ,  G06T7/11 ,  G06T17/20 ,  G06T7/50

CPC分类号： G06T17/05 ,  G06T7/11 ,  G06T17/20 ,  G06T7/50 ,  G06T2207/10032 ,  G06T2207/10028 ,  G06T2207/20084

摘要： A computer-implemented method for generating land-cover maps of an area, comprising: receiving a plurality of digital input images; performing semantic segmentation in the input images, segmenting each image individually and with a plurality of semantic classes, each semantic class being related to a land-cover class from a set of land-cover classes; identifying a set of single-image probability values of one or more of the semantic classes for at least a subset of the image pixels of the respective segmented image; generating a 3D mesh of the area based on the plurality of digital input images using a structure-from-motion algorithm; projecting the sets of single-image probability values on vertices of the 3D mesh; determining a set of overall probability values of one or more of the semantic classes.

公开(公告)号：US20240020876A1

公开(公告)日：2024-01-18

申请号：US17813188

申请日：2022-07-18

申请人： Wing Aviation LLC

发明人： Ali Shoeb

IPC分类号： G06T7/73 ,  G06T7/50 ,  B64C39/02 ,  G05D1/10 ,  G01S19/48

CPC分类号： G06T7/74 ,  G06T7/50 ,  B64C39/024 ,  G05D1/101 ,  G01S19/485 ,  G06T2207/10032 ,  G06T2207/20081 ,  B64C2201/127 ,  B64C2201/128 ,  B64C2201/042

摘要： A method includes receiving a two-dimensional (2D) image captured by a camera on a unmanned aerial vehicle (UAV) and representative of an environment of the UAV. The method further includes applying a trained machine learning model to the 2D image to produce a semantic image of the environment and a depth image of the environment, where the semantic image comprises one or more semantic labels. The method additionally includes retrieving reference depth data representative of the environment, wherein the reference depth data includes reference semantic labels. The method also includes aligning the depth image of the environment with the reference depth data representative of the environment to determine a location of the UAV in the environment, where the aligning associates the one or more semantic labels from the semantic image with the reference semantic labels from the reference depth data.

公开(公告)号：US11875561B2

公开(公告)日：2024-01-16

申请号：US18107876

申请日：2023-02-09

申请人： X Development LLC

发明人： Ananya Gupta ,  Phillip Ellsworth Stahlfeld ,  Bangyan Chu

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

CPC分类号： 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

摘要： Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.

公开(公告)号：US11875534B2

公开(公告)日：2024-01-16

申请号：US18148270

申请日：2022-12-29

申请人： Guangdong University of Technology

发明人： Renquan Lu ,  Jie Tao ,  Hui Peng ,  Jianhong Weng ,  Yong Xu ,  Hongxia Rao

IPC分类号： G06T17/00 ,  G06T7/73 ,  B64C39/02

CPC分类号： G06T7/74 ,  B64C39/024 ,  G06T17/005 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/10032 ,  G06T2207/20021 ,  G06T2207/30244

摘要： The present invention provides a pose estimation method for an unmanned aerial vehicle based on point, line and plane feature fusion, the method comprises the following steps: S1 extracting an RGB image and a depth map by using an RGB-D camera; S2 constructing a plane parameter space (PPS) according to the depth map, and mapping the depth map from a Cartesian space to the plane parameter space (PPS); S3 constructing an inverse octree structure, comprising: reversely constructing cell nodes for the plane parameter space (PPS) according to an octree rule, and for each cell node, performing fitting by using Gaussian distribution; S4 extracting a plane feature, comprising: extracting the plane feature on the basis of degree of feature extraction algorithm of the inverse octree; S5 extracting a linear feature, comprising: extracting a linear feature on the RGB image by using LSD algorithm detection.

公开(公告)号：US11875517B2

公开(公告)日：2024-01-16

申请号：US17208860

申请日：2021-03-22

申请人： Full-Swing Golf, Inc.

发明人： John DeLeon ,  Daniel Weitzner ,  Zachary Carofanello

IPC分类号： G06T7/246 ,  G06T7/80

CPC分类号： G06T7/246 ,  G06T7/80 ,  G06T2207/10032 ,  G06T2207/30204 ,  G06T2207/30224 ,  G06T2207/30241

摘要： A golf ball tracking system identifies a first pixel at which a golf ball is located in a first image frame and a second pixel at which the golf ball is located in a second image frame. The system may determine that the first pixel represents a location where the golf ball impacts the golf surface based at least in part on a difference in location between the first pixel in the first image frame and the second pixel in the second image frame.