公开(公告)号：US12105519B2

公开(公告)日：2024-10-01

申请号：US17442562

申请日：2020-03-10

申请人： TWINNY Co., Ltd.

发明人： Tae Hyoung Kim ,  Hong Seok Cheon ,  Jai Hoon Lee

IPC分类号： G05D1/00

CPC分类号： G05D1/0274 ,  G06F2218/08

摘要： Embodiments are proposed, including: a method for estimating the posture of a moving object by using a big cell grid map; a recording medium in which a program for implementing the method is stored; and the computer program stored in the medium to implement the method. More particularly, there are provided the embodiments including: a method for estimating the posture of a moving object by using a big cell grid map, the method dividing a map into a plurality of finite cells, and estimating and correcting the posture of a moving robot in the map (the big cell grid map) where map feature point information about a map feature point corresponding to a position of a corresponding cell is matched for each cell; a recording medium where a program for implementing the method is stored, and the computer program stored in the medium to implement the method.

公开(公告)号：US12016739B2

公开(公告)日：2024-06-25

申请号：US18171324

申请日：2023-02-17

申请人： Stryker Corporation

发明人： Brandon Hunter ,  Ramanan Paramasivan ,  Amit A. Mahadik

IPC分类号： A61B90/00 ,  G06V10/10 ,  G16H30/00

CPC分类号： A61B90/37 ,  G06V10/16 ,  G16H30/00 ,  G06F2218/08

摘要： A surgical image capture and display system includes a handheld image capture and pointing device and a display assembly. An image is captured by an image sensor of the handheld device and displayed on the display assembly. The image sensor detects light emitted by one or more beacons of the display assembly. The system determines, based on the light emitted by the one or more beacons, a position or orientation of the handheld device relative to the display assembly. The system updates display of a graphical user interface comprising the image on the display assembly in accordance with the determined position or orientation of the handheld device.

公开(公告)号：US20240132126A1

公开(公告)日：2024-04-25

申请号：US18179103

申请日：2023-03-06

申请人： Cavnue Technology, LLC

发明人： Mathew O'Sullivan ,  David Kiley

IPC分类号： B61L29/08 ,  B61L25/02 ,  G08G1/00 ,  G08G1/04 ,  G08G1/056

CPC分类号： B61L29/08 ,  B61L25/023 ,  G08G1/04 ,  G08G1/056 ,  G08G1/22 ,  G06F2218/08

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring vehicles traversing a dedicated roadway that includes an at-grade crossing. In some implementations, a system includes a central server, a gate system, and sensors. The gate system provides access to an at-grade crossing for vehicles. The sensors are positioned in a fixed location relative to a roadway, the roadway including the at-grade crossing. Each sensor can detect vehicles on the roadway. For each vehicle, each sensor can generate sensor data and observational data from the generated sensor data. Each sensor can determine a likelihood that the detected vehicle will approach the at-grade crossing by comparing the likelihood to a threshold. In response, each sensor can transmit data to the gate system that causes the gate system to allow the autonomous vehicle access to the at-grade crossing prior to the autonomous vehicle reaching the gate system.

公开(公告)号：US11936405B2

公开(公告)日：2024-03-19

申请号：US17243119

申请日：2021-04-28

申请人： Rohde & Schwarz GmbH & Co. KG

发明人： Baris Guezelarslan ,  Dominik Hettich

IPC分类号： H03M7/30 ,  G06N3/04 ,  H04L27/34

CPC分类号： H03M7/6058 ,  G06F2218/08 ,  G06N3/04 ,  H03M7/6041 ,  H03M7/70 ,  H04L27/3405

摘要： A method of compressing digital signal data obtained from a signal is described. The method includes: receiving digital signal data associated with a signal and/or generating digital signal data based on a signal; transforming the digital signal data into a transform domain, thereby generating transformed digital signal data; determining at least one characteristic parameter based on the transformed digital signal data by an artificial intelligence circuit; detecting and/or classifying at least one wanted signal portion based on the at least one characteristic parameter by the artificial intelligence circuit; and storing only a subset of the digital signal data that is associated with the at least one wanted signal portion. Further, a signal compressor circuit for compressing digital signal data obtained from a signal and a computer program are described.

公开(公告)号：US11900595B2

公开(公告)日：2024-02-13

申请号：US17308848

申请日：2021-05-05

申请人： Singular Genomics Systems, Inc.

发明人： Fedor Trintchouk ,  Eli N. Glezer

IPC分类号： G06K9/00 ,  G01N23/223 ,  G06T7/00 ,  G16B30/00 ,  G06T3/00 ,  G06T7/33

CPC分类号： G06T7/0012 ,  G06T3/0075 ,  G06T7/33 ,  G16B30/00 ,  G06F2218/08

摘要： Disclosed herein, inter alia, are methods and systems of image analysis useful for identifying and/or quantifying features in patterns.

公开(公告)号：US11885661B2

公开(公告)日：2024-01-30

申请号：US17171795

申请日：2021-02-09

申请人： Wiliot, Ltd.

发明人： Ido Zelman ,  Matan Epstein ,  Shay Moshe ,  Tsvika Rabkin ,  David Lipshitz ,  Tal Szpruch ,  Dotan Ziv ,  Alon Yehezkely

IPC分类号： G01F23/28 ,  G01F23/284 ,  G06N20/00 ,  G16H20/17 ,  G01F23/296 ,  G01N29/34 ,  G01N29/44 ,  G01N29/46 ,  G06F18/21

CPC分类号： G01F23/284 ,  G01F23/296 ,  G01N29/348 ,  G01N29/4454 ,  G01N29/46 ,  G06F18/217 ,  G06N20/00 ,  G16H20/17 ,  G06F2218/08 ,  G06F2218/12

摘要： A system and method for detecting material type using low-energy sensing are disclosed. The method includes receiving frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words; extracting at least a first data feature from the received frequency words, wherein the first data feature changes in response to a type of material in the container; classifying the extracted data feature to label a type of the material in the container; and sending a notification indicating the type of material in the container.

公开(公告)号：US11833406B2

公开(公告)日：2023-12-05

申请号：US17228635

申请日：2021-04-12

申请人： Blast Motion Inc.

发明人： James Thornbrue ,  Patrick Cherveny ,  Bhaskar Bose ,  Michael Bentley ,  Ryan Kaps

IPC分类号： A63B69/36 ,  G01C21/16 ,  G01P15/08 ,  G06Q10/0639 ,  G06T7/20 ,  G06V40/20 ,  G16H20/30 ,  A63B69/00

CPC分类号： A63B69/3685 ,  A63B69/3635 ,  G01C21/16 ,  G01P15/0888 ,  G06Q10/0639 ,  G06T7/20 ,  G06V40/23 ,  A63B2069/0008 ,  A63B2220/18 ,  A63B2220/833 ,  G06F2218/08 ,  G06F2218/12 ,  G16H20/30

摘要： A system that measures a swing of a bat with one or more sensors and analyzes sensor data to create swing quality metrics. Metrics may include for example rotational acceleration, on-plane efficiency, and body-bat connection. Rotational acceleration measures the centripetal acceleration of the bat along the bat's longitudinal axis at a point early in the rotational part of the swing; it is an indicator of the swing's power. On-plane efficiency measures how much of the bat's angular velocity occurs around the swing plane, the plane spanned by the bat and the bat's sweet spot velocity at impact. Body-bat connection measures the angle between the bat and the body tilt axis, which is estimated from the trajectory of the hand position on the bat through the swing; an ideal bat-body connection is near 90 degrees. These three swing quality metrics provide a simple and useful characterization of the swing mechanics.

公开(公告)号：US12118640B2

公开(公告)日：2024-10-15

申请号：US17314177

申请日：2021-05-07

申请人： Texas Instruments Incorporated

发明人： Aishwarya Dubey

IPC分类号： G06K9/48 ,  G06T1/20 ,  G06T7/10 ,  G06T7/13 ,  G06V10/44 ,  G06V10/46 ,  G06V10/50 ,  G06V10/94

CPC分类号： G06T1/20 ,  G06T7/10 ,  G06T7/13 ,  G06V10/44 ,  G06V10/473 ,  G06V10/50 ,  G06V10/94 ,  G06V10/955 ,  G06F2218/08 ,  G06T2200/28

摘要： A hardware accelerator for histogram of oriented gradients computation is provided that includes a gradient computation component configured to compute gradients Gx and Gy of a pixel, a bin identification component configured to determine a bin id of an angular bin for the pixel based on a plurality of representative orientation angles, Gx, and signs of Gx and Gy, and a magnitude component configured to determine a magnitude of the gradients Gmag based on the plurality of representative orientation angles and the bin id.

公开(公告)号：US11989340B2

公开(公告)日：2024-05-21

申请号：US17163327

申请日：2021-01-29

申请人： MINDMAZE GROUP SA

发明人： Tej Tadi ,  Robert Leeb ,  Nicolas Bourdaud ,  Leandre Bolomey ,  Gangadhar Garipelli ,  Skander Mensi ,  Julien Pilet ,  Dat Ngo ,  Yann Lebrun ,  Arthur Giroux ,  Sylvain Cardin ,  Nicolas Merlini

IPC分类号： G06F3/01 ,  G06F3/0346 ,  G06F18/2132 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2415 ,  G06F18/2453 ,  G06F18/25 ,  G06V40/10 ,  G06V40/16

CPC分类号： G06F3/012 ,  G06F3/015 ,  G06F3/017 ,  G06F3/0346 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24155 ,  G06F18/2453 ,  G06F18/254 ,  G06V40/10 ,  G06V40/174 ,  G06V40/176 ,  G06F18/21326 ,  G06F2218/02 ,  G06F2218/04 ,  G06F2218/08 ,  G06F2218/12 ,  G06V40/15

摘要： Systems, methods, apparatuses and devices for detecting facial expressions according to EMG signals for a virtual and/or augmented reality (VR/AR) environment, in combination with a system for simultaneous location and mapping (SLAM), are presented herein.

公开(公告)号：US11978273B1

公开(公告)日：2024-05-07

申请号：US18506929

申请日：2023-11-10

申请人： 32Health Inc.

发明人： Deepak Ramaswamy ,  Ravindra Kompella ,  Shaju Puthussery

IPC分类号： G06V30/414 ,  G06N20/00 ,  G06V10/22 ,  G06V10/82 ,  G06V30/146 ,  G06V30/19

CPC分类号： G06V30/414 ,  G06N20/00 ,  G06V10/22 ,  G06V10/82 ,  G06V30/147 ,  G06V30/191 ,  G06F2218/08 ,  G06T2207/20081

摘要： Systems and techniques are provided for automatically analyzing and processing domain-specific image artifacts and document images. A process can include obtaining a plurality of document images comprising visual representations of structured text. An OCR-free machine learning model can be trained to automatically extract text data values from different types or classes of document image, based on using a corresponding region of interest (ROI) template corresponding to the structure of the document image type for at least initial rounds of annotations and training. The extracted information included in an inference prediction of the trained OCR-free machine learning model can be reviewed and validated or corrected correspondingly before being written to a database for use by one or more downstream analytical tasks.