公开(公告)号：US20240362909A1

公开(公告)日：2024-10-31

申请号：US18692725

申请日：2022-09-14

申请人： DIGIFARM AS

发明人： Alexei MELNITCHOUCK ,  Nils Solum HELSET ,  Yosef AKHTMAN ,  Konstantin VARIK

IPC分类号： G06V20/13 ,  G06V10/26 ,  G06V10/32 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10

CPC分类号： G06V20/13 ,  G06V10/26 ,  G06V10/32 ,  G06V10/776 ,  G06V10/82 ,  G06V20/188

摘要： A computer-based system (210) for delineating agricultural fields based on satellite images includes a first subsystem (201) configured to receive at least one multitemporal, multispectral satellite image sequence (101) and pre-processing the images in the at least one multitemporal, multispectral satellite image sequence to generate a pre-processed image sequence (303) of multitemporal multispectral images covering a specific geographical region; a second subsystem (202) configured to perform a super-resolution method on the images in the pre-processed image sequence to generate a high-resolution image sequence (403) of multitemporal multispectral images where corresponding pixel positions in images in the sequence relate to the same geographical ground position; and a third subsystem (203) including a delineating artificial neural network (501) trained to classify pixel positions in the high-resolution image sequence (403) as being associated with a geographical ground position that is part of an agricultural field (104) or not part of an agricultural field.

公开(公告)号：US12131529B2

公开(公告)日：2024-10-29

申请号：US18098625

申请日：2023-01-18

申请人： TOYOTA RESEARCH INSTITUTE, INC.

发明人： Jeremy Ma ,  Josh Petersen ,  Umashankar Nagarajan ,  Michael Laskey ,  Daniel Helmick ,  James Borders ,  Krishna Shankar ,  Kevin Stone ,  Max Bajracharya

IPC分类号： B25J9/16 ,  G06F18/214 ,  G06F18/28 ,  G06N3/08 ,  G06T7/246 ,  G06T7/33 ,  G06T7/55 ,  G06T7/73 ,  G06T19/20 ,  G06V10/75 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/10 ,  G06V20/20

CPC分类号： G06V20/10 ,  B25J9/1605 ,  B25J9/1661 ,  B25J9/1664 ,  B25J9/1671 ,  B25J9/1697 ,  G06F18/214 ,  G06F18/28 ,  G06N3/08 ,  G06T7/248 ,  G06T7/33 ,  G06T7/55 ,  G06T7/74 ,  G06T19/20 ,  G06V10/751 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/20 ,  B25J9/163 ,  G05B2219/37567 ,  G05B2219/40543 ,  G05B2219/40564 ,  G06T2200/04 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20104

摘要： A method for performing a task by a robotic device includes mapping a group of task image pixel descriptors associated with a first group of pixels in a task image of a task environment to a group of teaching image pixel descriptors associated with a second group of pixels in a teaching image based on positioning the robotic device within the task environment. The method also includes determining a relative transform between the task image and the teaching image based on mapping the plurality of task image pixel descriptors. The relative transform indicates a change in one or more of points of 3D space between the task image and the teaching image. The method also includes performing the task associated with the set of parameterized behaviors based on updating one or more parameters of a set of parameterized behaviors associated with the teaching image based on determining the relative transform.

公开(公告)号：US12131523B2

公开(公告)日：2024-10-29

申请号：US17182951

申请日：2021-02-23

申请人： Meta Platforms, Inc.

发明人： Xiaohu Liu ,  Baiyang Liu ,  Rajen Subba

IPC分类号： G06V10/82 ,  G06F3/01 ,  G06F3/16 ,  G06F7/14 ,  G06F9/451 ,  G06F16/176 ,  G06F16/22 ,  G06F16/23 ,  G06F16/242 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/33 ,  G06F16/332 ,  G06F16/338 ,  G06F16/903 ,  G06F16/9032 ,  G06F16/9038 ,  G06F16/904 ,  G06F16/951 ,  G06F16/9535 ,  G06F18/2411 ,  G06F40/205 ,  G06F40/295 ,  G06F40/30 ,  G06F40/40 ,  G06N3/006 ,  G06N3/08 ,  G06N7/01 ,  G06N20/00 ,  G06Q50/00 ,  G06V10/764 ,  G06V20/10 ,  G06V40/20 ,  G10L15/02 ,  G10L15/06 ,  G10L15/07 ,  G10L15/16 ,  G10L15/18 ,  G10L15/183 ,  G10L15/187 ,  G10L15/22 ,  G10L15/26 ,  G10L17/06 ,  G10L17/22 ,  H04L5/02 ,  H04L12/28 ,  H04L41/00 ,  H04L41/22 ,  H04L43/0882 ,  H04L43/0894 ,  H04L51/02 ,  H04L51/18 ,  H04L51/216 ,  H04L51/52 ,  H04L67/306 ,  H04L67/50 ,  H04L67/5651 ,  H04L67/75 ,  H04W12/08 ,  G10L13/00 ,  G10L13/04 ,  H04L51/046 ,  H04L67/10 ,  H04L67/53

CPC分类号： G06V10/82 ,  G06F3/011 ,  G06F3/013 ,  G06F3/017 ,  G06F3/167 ,  G06F7/14 ,  G06F9/453 ,  G06F16/176 ,  G06F16/2255 ,  G06F16/2365 ,  G06F16/243 ,  G06F16/24552 ,  G06F16/24575 ,  G06F16/24578 ,  G06F16/248 ,  G06F16/3323 ,  G06F16/3329 ,  G06F16/3344 ,  G06F16/338 ,  G06F16/90332 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/904 ,  G06F16/951 ,  G06F16/9535 ,  G06F18/2411 ,  G06F40/205 ,  G06F40/295 ,  G06F40/30 ,  G06F40/40 ,  G06N3/006 ,  G06N3/08 ,  G06N7/01 ,  G06N20/00 ,  G06Q50/01 ,  G06V10/764 ,  G06V20/10 ,  G06V40/28 ,  G10L15/02 ,  G10L15/063 ,  G10L15/07 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/183 ,  G10L15/187 ,  G10L15/22 ,  G10L15/26 ,  G10L17/06 ,  G10L17/22 ,  H04L5/02 ,  H04L12/2816 ,  H04L41/20 ,  H04L41/22 ,  H04L43/0882 ,  H04L43/0894 ,  H04L51/02 ,  H04L51/18 ,  H04L51/216 ,  H04L51/52 ,  H04L67/306 ,  H04L67/535 ,  H04L67/5651 ,  H04L67/75 ,  H04W12/08 ,  G06F2216/13 ,  G10L13/00 ,  G10L13/04 ,  G10L2015/223 ,  G10L2015/225 ,  H04L51/046 ,  H04L67/10 ,  H04L67/53

摘要： In one embodiment, a method includes by a client system associated with a user, receiving, at the client system, a user input from the user, parsing, by the client system, the first user input to identify a request to execute a function to be performed by an assistant system of several assistant systems associated with the client system, determining whether the user is authorized to access the assistant system by comparing a voiceprint of the user to several voiceprints stored on the client system, sending, from the client system to the assistant system in response to determining the user is authorized to access the assistant system, a request to set an assistant xbot of the assistant system into a listening mode, and receiving, at the client system from the assistant system, an indication that the assistant xbot is in listening mode.

公开(公告)号：US20240354863A1

公开(公告)日：2024-10-24

申请号：US18756780

申请日：2024-06-27

申请人： STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

发明人： Nathan L. Tofte ,  Timothy W. Ryan ,  Nathan W. Baumann ,  Michael Shawn Jacob ,  Joshua David Lillie ,  Brian N. Harvey ,  Roxane Lyons ,  Rosemarie Geier Grant

IPC分类号： G06Q40/08 ,  B64C39/02 ,  B64D47/08 ,  B64U10/00 ,  B64U10/14 ,  B64U101/00 ,  B64U101/30 ,  G01C11/02 ,  G06F18/22 ,  G06Q40/00 ,  G06T7/00 ,  G06T7/20 ,  G06T7/246 ,  G06T7/73 ,  G06T11/60 ,  G06T17/05 ,  G06V10/42 ,  G06V20/10 ,  G06V20/40 ,  H04N5/44 ,  H04N7/18

CPC分类号： G06Q40/08 ,  B64C39/024 ,  B64D47/08 ,  G01C11/02 ,  G06F18/22 ,  G06Q40/00 ,  G06T7/00 ,  G06T7/20 ,  G06T7/246 ,  G06T7/75 ,  G06T11/60 ,  G06T17/05 ,  G06V10/42 ,  G06V20/10 ,  G06V20/41 ,  H04N5/44 ,  H04N7/185 ,  B64U10/00 ,  B64U10/14 ,  B64U2101/00 ,  B64U2101/30 ,  B64U2201/102 ,  B64U2201/104 ,  G06T2207/10032 ,  G06T2207/30232 ,  G06T2207/30236 ,  G06T2207/30252 ,  G06T2215/16 ,  G06V20/44

摘要： Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.

公开(公告)号：US20240346308A1

公开(公告)日：2024-10-17

申请号：US18540335

申请日：2023-12-14

申请人： Aon Benfield Inc.

发明人： Takeshi Okazaki

IPC分类号： G06N3/08 ,  G06F18/241 ,  G06N20/20 ,  G06T7/00 ,  G06V10/46 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/13

CPC分类号： G06N3/08 ,  G06F18/241 ,  G06N20/20 ,  G06T7/0002 ,  G06V10/462 ,  G06V10/764 ,  G06V10/82 ,  G06V20/13 ,  G06V20/176

摘要： In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

公开(公告)号：US20240341227A1

公开(公告)日：2024-10-17

申请号：US18298485

申请日：2023-04-11

申请人： DEERE & COMPANY

发明人： Nathan R. Vandike ,  Martin Franz Unterpaintner ,  Benjamin Peschel

IPC分类号： A01D41/12 ,  A01D41/127 ,  G06T5/50 ,  G06T7/50 ,  G06T7/62 ,  G06T17/00 ,  G06V10/44 ,  G06V20/10

CPC分类号： A01D41/1243 ,  A01D41/127 ,  G06T5/50 ,  G06T7/50 ,  G06T7/62 ,  G06T17/00 ,  G06V10/44 ,  G06V20/188 ,  G06T2207/20221

摘要： One or more sensors can capture images of at least a portion of crop residue, which can be shown in real time on a display. Information captured by the sensors can be used to determine crop residue parameter information. The crop residue information can pertain to either or both the processing of crop residue by, or the distribution of crop residue from, the agricultural machine. Virtual representations of the crop residue parameter information can overlay at least a portion of, or otherwise be presented in connection with, the captured image shown on the display. The virtual representation can have an appearance that can visually convey the crop residue parameter information to an operator. Such visual representations can include the use of parameter identifiers, graphical shapes, or text, as well as combinations thereof. The virtual representation of the crop residue parameter information can also provide an indication as to whether the crop residue parameter information satisfies a predetermined threshold.

公开(公告)号：US12119086B2

公开(公告)日：2024-10-15

申请号：US16753044

申请日：2018-10-04

申请人： KWS SAAT SE & CO. KGaA

发明人： Christoph Bauer ,  Christian Jebsen ,  Sabine Gubatz ,  Ludmilla Dahl

IPC分类号： G16B20/20 ,  C12Q1/6895 ,  G01N21/31 ,  G01N21/64 ,  G01N33/00 ,  G01N33/24 ,  G06V20/10 ,  A01G7/00

CPC分类号： G16B20/20 ,  C12Q1/6895 ,  G01N21/31 ,  G01N33/0098 ,  G06V20/188 ,  A01G7/00 ,  C12Q2600/13 ,  C12Q2600/158 ,  G01N21/6456 ,  G01N33/245 ,  G06V20/194

摘要： The invention relates to a method for performing data analysis for plant phenotyping of single plants in a field and a data acquisition and evaluation system for performing data analysis for plant phenotyping of single plants in a field. Further, the invention relates to a mobile platform for use in the data acquisition and evaluation system. The method comprises the steps of capturing spectral data via a hyperspectral imaging sensor, capturing image data via an image sensor, capturing georeference data via an inertial measurement unit, spatializing the image data to generate georeferenced image data and a digital surface model, spatializing the spectral data, generating georeferenced spectral data based on the spatialized spectral data and the digital surface model and overlaying the georeferenced image data and georeferenced spectral data with field plan information to generate a high-resolution analysis data set.

公开(公告)号：US12118807B2

公开(公告)日：2024-10-15

申请号：US17280841

申请日：2019-09-28

申请人： SiteSee Pty Ltd

发明人： Lucio Piccoli ,  Laurie Opperman ,  Patrick Mahoney

IPC分类号： G06V20/64 ,  G06F18/214 ,  G06T7/11 ,  G06T7/174 ,  G06T7/70 ,  G06T17/20 ,  G06V20/10

CPC分类号： G06V20/653 ,  G06F18/214 ,  G06T7/11 ,  G06T7/174 ,  G06T7/70 ,  G06T17/20 ,  G06V20/176 ,  G06T2207/10032 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30184

摘要： The present application relates to a method for recognising at least one object in a three-dimensional scene, the method including, in an electronic processing device: determining a plurality of two-dimensional images of the scene, the images at least partially including the at least one object; determining a plurality of two-dimensional segmentations of the at least one object, the two-dimensional segmentations corresponding to the two dimensional images; generating a three-dimensional representation of the scene using the images; generating a mapping indicative of a correspondence between the images and the representation; and using the mapping to map the plurality of segmentations to the three dimensional representation, to thereby recognise the at least one object in the scene.

公开(公告)号：US12118780B2

公开(公告)日：2024-10-15

申请号：US18352246

申请日：2023-07-14

申请人： GUILIN UNIVERSITY OF TECHNOLOGY

发明人： Guoqing Zhou ,  Yue Jiang ,  Haoyu Wang

IPC分类号： G06V20/10 ,  G06T7/11 ,  G06V10/764 ,  G06V10/77 ,  G06V10/80 ,  G06V10/94

CPC分类号： G06V20/176 ,  G06T7/11 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/806 ,  G06V10/95 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/30181

摘要： The present disclosure relates to a PointEFF method for urban object classification with LiDAR point cloud data, and belongs to the field of LiDAR point cloud classification. The method comprises: point cloud data segmentation; End-to-end feature extraction layer construction; External feature fusion layer construction; and precision evaluation. The PointEFF method for urban object classification with LiDAR point cloud data fuses point cloud hand-crafted descriptors with End-to-end features obtained from a network at an up-sampling stage of a model by constructing an External Feature Fusion module, which improves a problem of local point cloud information loss caused by interpolation operation in the up-sampling process of domain feature pooling methods represented by PointNet and PointNet++, greatly improves classification precision of the model in complex ground features, especially in rough surface ground features, and is capable of being better applied to the classification of urban ground features with complex ground feature types.

公开(公告)号：US12118698B1

公开(公告)日：2024-10-15

申请号：US18631002

申请日：2024-04-09

申请人： Chengdu University of Technology

发明人： Jing He ,  Yifu Chen ,  Gang Liu ,  Weile Li

IPC分类号： G06T5/77 ,  G06V10/25 ,  G06V10/44 ,  G06V10/60 ,  G06V10/75 ,  G06V20/10 ,  G06V20/17

CPC分类号： G06T5/77 ,  G06V10/25 ,  G06V10/44 ,  G06V10/60 ,  G06V10/751 ,  G06V20/17 ,  G06V20/188 ,  G06T2207/20132

摘要： Provided are a method for inpainting a highlight region of a vegetation image captured by an unmanned aerial vehicle, a device, a medium, and a product. The method includes: acquiring an image to be inpainted, and a historic image; inputting the image to be inpainted to a trained target detection network to obtain a waterbody highlight region image block; determining a template image block of the image to be inpainted based on the waterbody highlight region image block; cropping the historical image to obtain a plurality of candidate image blocks of the image to be inpainted; determining similarity between each candidate image block and the template image block by using a deep learning image coarse matching method; and screening candidate image blocks with the similarity greater than a predetermined threshold, and determining an optimal candidate image block in the candidate image blocks by using a pixel-by-pixel matching method.