公开(公告)号：US12080060B2

公开(公告)日：2024-09-03

申请号：US17448250

申请日：2021-09-21

申请人： Imec vzw ,  Katholieke Universiteit Leuven, KU LEUVEN R&D

发明人： Ruoyu Feng ,  Andre Bourdoux ,  Hichem Sahli ,  Sofie Pollin

IPC分类号： G06K9/00 ,  G01S13/72 ,  G01S13/89 ,  G06T7/277 ,  G06V20/00

CPC分类号： G06V20/00 ,  G01S13/723 ,  G01S13/89 ,  G06T7/277 ,  G06T2207/10044 ,  G06T2207/20061

摘要： A method is provided for indoor multipath ghosts recognition for a multiple-input-multiple-output radar with collocated antennas. The method includes the step of generating a two-dimensional Range-Doppler map for N number of consecutive radar data frames. The method further includes the step of applying a temporal clustering algorithm to the N number of consecutive radar data frames. Moreover, the method includes the step of applying a linear pattern extraction algorithm on the two-dimensional Range-Doppler map. In this context, the two-dimensional Range-Doppler map comprises detections from at least one target, at least one first-order ghost, and at least one second-order ghost with respect to one wall reflector.

公开(公告)号：US12054362B2

公开(公告)日：2024-08-06

申请号：US17624780

申请日：2020-07-03

申请人： ZOOMLION HEAVY INDUSTRY SCIENCE AND TECHNOLOGY CO., LTD.

发明人： Zhiren Tan ,  Qing Fan ,  Ling Fu ,  Yanbin Liu ,  Yang Zeng ,  Baike Xu ,  Hong Wu ,  Jimei Guo ,  Zan Huang

IPC分类号： B66C23/74 ,  B66C13/08 ,  B66C13/18 ,  B66C13/46 ,  G06T7/168 ,  G06T7/194 ,  G06T7/73

CPC分类号： B66C13/46 ,  B66C13/085 ,  B66C13/18 ,  B66C23/74 ,  G06T7/168 ,  G06T7/194 ,  G06T7/74 ,  G06T2207/20061 ,  G06T2207/20064

摘要： A crane counterweight block alignment detection and control method, a crane counterweight block alignment detection and control device, and a crane. The crane counterweight block alignment detection and control method comprise: a counterweight block being provided with mounting holes for matching with positioning pins on a crane, detecting the center position of the counterweight block, and calculating the relative offset between the center position and the position of the positioning pins; detecting the relative positions of the mounting holes in the counterweight block and the positioning pins, and calculating, according to the positions, a relative rotation angle of the counterweight block for aligning the mounting holes with the positioning pins; and controlling, according to the relative offset and relative rotation angle, the movement of the counterweight block to enable the mounting holes in the counterweight block to be aligned with and installed onto the positioning pins.

公开(公告)号：US12039615B2

公开(公告)日：2024-07-16

申请号：US18149769

申请日：2023-01-04

申请人： SAP SE

发明人： Suchitra Sundararaman ,  Jesper Lind ,  Juliy Broyda ,  Lev Sigal ,  Anton Ioffe ,  Yuri Arshavski

IPC分类号： G06F18/24 ,  G06F40/284 ,  G06N3/02 ,  G06N3/08 ,  G06N20/00 ,  G06Q20/04 ,  G06Q20/38 ,  G06Q20/40 ,  G06Q40/12 ,  G06T7/00 ,  G06T7/73 ,  G06V30/224 ,  G06V30/40 ,  G06V30/413 ,  G06V30/414 ,  G06V30/418 ,  G06F16/2455

CPC分类号： G06Q40/12 ,  G06F18/24 ,  G06F40/284 ,  G06N3/02 ,  G06N3/08 ,  G06N20/00 ,  G06Q20/045 ,  G06Q20/389 ,  G06Q20/40 ,  G06Q20/4016 ,  G06T7/0002 ,  G06T7/74 ,  G06V30/224 ,  G06V30/40 ,  G06V30/413 ,  G06V30/414 ,  G06V30/418 ,  G06F16/24564 ,  G06T2207/20061 ,  G06T2207/30176

摘要： The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes training at least one machine learning model to determine features that can be used to determine whether an image is an authentic image of a document or an automatically generated document image, using a training set of authentic images and a training set of automatically generated document images. A request to classify an image as either an authentic image of a document or an automatically generated document image is received. The machine learning model(s) are used to classify the image as either an authentic image of a document or an automatically generated document image, based on features included in the image that are identified by the machine learning model(s). A classification of the image is provided. The machine learning model(s) are updated based on the image and the classification of the image.

公开(公告)号：US12037892B2

公开(公告)日：2024-07-16

申请号：US15569464

申请日：2015-05-29

申请人： Halliburton Energy Services, Inc.

发明人： Christopher Lee Stokely ,  John L. Maida ,  Neal Gregory Skinner ,  Andreas Ellamauthaler

IPC分类号： E21B47/095 ,  E21B47/001 ,  E21B47/107 ,  G01S7/52 ,  G01S7/54 ,  G01S7/56 ,  G01S15/86 ,  G01S15/89 ,  G06T5/00

CPC分类号： E21B47/095 ,  E21B47/001 ,  E21B47/107 ,  G01S7/52004 ,  G01S7/54 ,  G01S7/56 ,  G01S15/86 ,  G01S15/89 ,  G06T5/00 ,  G06T2207/20061

摘要： A system includes a controlled acoustic source. The system also includes distributed acoustic sensors along a conduit. The distributed acoustic sensors obtain acoustic signal measurements as a function of position along the conduit in response to at least one acoustic signal provided by the controlled acoustic source. The system also includes a processing unit that generates an acoustic activity plot or report based on the acoustic signal measurements. The acoustic activity plot or report is used to identify at least one acoustic impedance boundary anomaly as a function of position along the conduit.

公开(公告)号：US20230298170A1

公开(公告)日：2023-09-21

申请号：US18110535

申请日：2023-02-16

申请人： THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

发明人： Adam M. BRICKMAN ,  Anthony G. CHESEBRO

IPC分类号： G06T7/00 ,  G06T7/73 ,  G06V10/25 ,  G06T7/33 ,  G06T7/13 ,  G06T7/136 ,  G06T7/168

CPC分类号： G06T7/0012 ,  G06T7/13 ,  G06T7/136 ,  G06T7/168 ,  G06T7/337 ,  G06T7/74 ,  G06V10/25 ,  G06T2207/10088 ,  G06T2207/20061 ,  G06T2207/20221 ,  G06T2207/30016 ,  G06T2207/30104

摘要： Automated cerebral microbleed detection is performed in extracted T2*-weighted image data, including gradient echo (GRE) image data and susceptibility-weighted imaging (SWI) image data. The image data is resampled and potential 2D regions of interest (ROI) having a circular or ellipsoidal shape are identified based in part on a respective intensity of associated resampled image pixels. The number of 2D ROIs are reduced by size, edge, and/or cerebrospinal fluid (CSF) mask exclusion, and then merged to form 3D ROIs. False positive 3D ROIs are removed and the remaining ROIs stored for review by a trained rater. The embodiments of the present disclosure outperform visual ratings of cerebral microbleeds, reducing the time to visually rate the scans while retaining sensitivity to the microbleeds themselves. These embodiments also exhibit higher sensitivity in longitudinal identification of microbleed locations, and are suited to longitudinal examination of cerebrovascular disease, e.g., Alzheimer’s in adults with Down syndrome.

公开(公告)号：US11763483B2

公开(公告)日：2023-09-19

申请号：US17051924

申请日：2019-04-30

申请人： MYMA MEDICAL LIMITED

发明人： Mozafar Saadat ,  Amir Mohammad Hajiyavand

IPC分类号： G06T7/00 ,  G06T7/73 ,  G06T5/00 ,  G06T5/20 ,  G06T7/60

CPC分类号： G06T7/73 ,  G06T5/002 ,  G06T5/20 ,  G06T7/0012 ,  G06T7/60 ,  G06T2207/20061 ,  G06T2207/30024 ,  G06T2207/30044

摘要： The disclosure relates to methods and systems for detecting the orientation of an oocyte and its polar body. Examples include an automated method for detection of an orientation of an oocyte, the method including: i) acquiring an image of the oocyte; ii) defining first and second elliptical features in the image based on edges detected in the image; iii) calculating an orientation of the second elliptical feature relative to the first elliptical feature; and iv) outputting a relative orientation of a polar body of the oocyte based on the orientation of the second elliptical feature relative to the first elliptical feature.

公开(公告)号：US20230252677A1

公开(公告)日：2023-08-10

申请号：US18300737

申请日：2023-04-14

申请人： Guangzhou University

发明人： Zhong CAO ,  Weijie LI ,  Wenli SHANG ,  Wenjing ZHAO ,  Sha HUAN ,  Hai JIE

IPC分类号： G06T7/73 ,  G06V20/56 ,  G06V10/25 ,  G06V10/30

CPC分类号： G06T7/75 ,  G06V20/588 ,  G06V10/25 ,  G06V10/30 ,  G06T2207/30244 ,  G06T2207/30256 ,  G06T2207/20061

摘要： The present invention relates to the field of intelligent driving. Disclosed is a method for detecting the position relation between a vehicle and a lane line. The method for detecting the position relation between a vehicle and a lane line comprises: obtaining a vehicle model, the vehicle model being represented by a plurality of first coordinates in a world coordinate system; obtaining a lane line image, the lane line image being captured by a camera disposed on a vehicle; obtaining a calibration parameter of the camera; determining, according to the lane line image and the calibration parameter, a first line segment of a lane line mapped into the world coordinate system; and determining the position relation between the lane line and the vehicle according to the position relation between the first line segment and the plurality of first coordinates in the world coordinate system. According to the detection method, the position relation between the lane line and the vehicle can be determined without using a positioning system, so that the construction cost of intelligent driving is reduced.

公开(公告)号：US20180253853A1

公开(公告)日：2018-09-06

申请号：US15974287

申请日：2018-05-08

申请人： NIPPON SOKEN, INC. ,  DENSO CORPORATION

发明人： Syunya KUMANO ,  Naoki KAWASAKI ,  Shunsuke SUZUKI ,  Tetsuya TAKAFUJI ,  Kazuma HASHIMOTO

IPC分类号： G06T7/13 ,  G06K9/00 ,  G06T7/12

CPC分类号： G06T7/13 ,  G06K9/00798 ,  G06T7/12 ,  G06T2207/10016 ,  G06T2207/10152 ,  G06T2207/20061 ,  G06T2207/20076 ,  G06T2207/30256

摘要： In a boundary line recognition apparatus, based on luminance levels of an image captured by a camera, candidate edge points of a boundary line sectioning a travel road are extracted, and a candidate line of the boundary line is extracted. An apparent width of the candidate line on an image is calculated, from a width of the candidate line in a horizontal direction of the image and an angle of the candidate line relative to a vertical direction of the image. A probability of a candidate line being a boundary line is calculated to be higher, as a degree of the candidate line having characteristics as a boundary line is higher. The calculated probabilities are integrated in respect of a plurality of characteristics to recognize a boundary line. The characteristics include a ratio of the calculated apparent width to an image blur degree is larger than a predetermined value.

公开(公告)号：US09996938B2

公开(公告)日：2018-06-12

申请号：US15662203

申请日：2017-07-27

申请人： OPTIMEDICA CORPORATION

发明人： Javier G. Gonzalez

IPC分类号： G06K9/00 ,  G06T7/20 ,  G06T7/70 ,  G06K9/46 ,  A61B3/14 ,  G06T7/00 ,  A61B3/103 ,  A61B3/107 ,  G01N23/207 ,  G01V3/38 ,  A61F9/008

CPC分类号： G06T7/20 ,  A61B3/103 ,  A61B3/107 ,  A61B3/145 ,  A61F9/008 ,  A61F2009/00846 ,  A61F2009/00882 ,  G06K9/4633 ,  G06T7/0012 ,  G06T7/70 ,  G06T2207/20061 ,  G06T2207/30041 ,  G06T2207/30204

摘要： A method of blink detection in a laser eye surgical system includes providing a topography measurement structure having a geometric marker. The method includes bringing the topography measurement structure into a position proximal to an eye such that light traveling from the geometric marker is capable of reflecting off a refractive structure of the eye of the patient, and also detecting the light reflected from the structure of the eye for a predetermined time period while the topography measurement structure is at the proximal position. The method further includes converting the light reflected from the surface of the eye into image data and analyzing the image data to determine whether light reflected from the geometric marker is present is in the reflected light, wherein if the geometric marker is determined not to be present, the patient is identified as having blinked during the predetermined time.

公开(公告)号：US20180122083A1

公开(公告)日：2018-05-03

申请号：US15552468

申请日：2015-11-13

申请人： SHENZHEN A&E INTELLIGENT TECHNOLOGY INSTITUTE CO., LTD.

发明人： Li WANG

IPC分类号： G06T7/168 ,  G06T7/13 ,  G06T7/73

CPC分类号： G06T7/168 ,  G06K9/4633 ,  G06T7/12 ,  G06T7/13 ,  G06T7/73 ,  G06T2207/20061

摘要： The present disclosure discloses a method and device for straight line detection and image processing. The straight line detection method includes: dividing a horizontal axis and a vertical axis of a straight line parameter space equally, so as to divide the straight line parameter space into a plurality of parameter areas; voting for the plurality of parameter areas utilizing a coordinate of each sample pixel to obtain a vote amount of each of the parameter areas; extracting a straight line parameter and the vote amount of each of the parameter areas having the vote amount larger than a voting threshold, and grouping the straight line parameters into a group; and weighting and averaging the straight line parameter of each group and the vote amount respectively to obtain the straight line parameter of a detected straight line. The present disclosure also discloses a robot and a numerical control machine.