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公开(公告)号:US11893081B2
公开(公告)日:2024-02-06
申请号:US17485776
申请日:2021-09-27
IPC分类号: G06V10/00 , G06F18/2137 , G06V10/48 , G06T15/20
CPC分类号: G06F18/21375 , G06T15/205 , G06V10/48
摘要: This application discloses a map display method and apparatus, where the method includes: obtaining an initial image, where a first road is included in the initial image. The initial image is divided into a first sub-image and a second sub-image, where the first road is not included in the first sub-image, and the first road is included in the second sub-image. The first sub-image is mapped to a first plane of a transition model, and the second sub-image is mapped to a second plane of the transition model, where there is an included angle between the first plane and the second plane, and the first plane is parallel to a screen of a display device. The second plane is controlled to move by means of the transition model, until the included angle is reduced from a first angle to a second angle, and a three-dimensional map display animation is obtained.
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公开(公告)号:US20230401731A1
公开(公告)日:2023-12-14
申请号:US18452309
申请日:2023-08-18
IPC分类号: G06T7/521 , G06V10/75 , G06F18/2134 , G06F18/2137
CPC分类号: G06T7/521 , G06V10/75 , G06V10/751 , G06F18/2134 , G06F18/2137 , G06T2207/20041
摘要: One example provides a computing system comprising a depth sensor comprising a plurality of pixels, and a storage machine holding instructions executable by a logic machine to, for each pixel, make K phase measurements to form a set of noisy phase measurements, determine a location at which a projection line that passes through the set of noisy phase measurements in a K-dimensional phase space passes through a lower dimensional plane, the projection line being parallel to a noise free phase evolution line, compare the location to a plurality of independent terms of a predetermined matrix of points in the lower dimensional plane, locate a corresponding set of noiseless phase orders by using a selected set of independent terms to reference a look-up table, determine a distance value for the pixel based upon the corresponding set of noiseless phase orders, and output the distance value for the pixel.
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公开(公告)号:US11836218B2
公开(公告)日:2023-12-05
申请号:US17405919
申请日:2021-08-18
IPC分类号: G06T7/50 , G06F18/2137 , G06V10/75 , G06F18/23
CPC分类号: G06F18/2137 , G06F18/23 , G06T7/50 , G06V10/757
摘要: A method for detecting and dimensioning a target object includes: obtaining depth data representing a target object; defining a mask having a structure which decreases in density away from a central point of the mask; overlaying the mask on the depth data and selecting a subset of the depth data comprising data points which contact the mask; detecting a cluster of data points from the subset; detecting, based on the cluster, the target object; and outputting a representation of the target object.
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公开(公告)号:US11831421B2
公开(公告)日:2023-11-28
申请号:US17652467
申请日:2022-02-24
IPC分类号: H04L67/1001 , H04L43/0852 , G06F9/455 , H04L43/0876 , G06N3/02 , G06F18/214 , G06F18/2137
CPC分类号: H04L67/1001 , G06F9/45558 , G06F18/214 , G06F18/2137 , G06N3/02 , H04L43/0852 , H04L43/0876 , G06F2009/4557 , G06F2009/45595 , G06F2209/505
摘要: A remote server computing system is configured to deploy a cloud-service-managed control plane and a cloud service data plane spanning the remote server computing system, a local edge computing device, and a local on-premises computing device connected in a hybrid cloud environment. Energy-related training data is received including a plurality of energy-related training data pairs. A machine learning function is trained using the plurality of training data pairs to predict a classified label for restricted energy-related data that is not accessible to the remote server computing system. The trained machine learning function is deployed to the one or more of the local edge computing device and the local on-premises computing device via the cloud service data plane. The remote server computing system is further configured to receive, via the cloud service data plane, classified output of the trained machine learning function.
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公开(公告)号:US11669990B2
公开(公告)日:2023-06-06
申请号:US17412574
申请日:2021-08-26
发明人: Yan Peng , Xiang Long , Shumin Han , Honghui Zheng , Zhuang Jia , Xiaodi Wang , Pengcheng Yuan , Yuan Feng , Bin Zhang , Ying Xin
IPC分类号: G06T7/62 , G06F18/241 , G06F18/25 , G06F18/2137 , G06V10/764 , G06V10/80 , G06V10/82 , G06V10/32 , G06V10/50 , G06V10/26 , G06V20/13
CPC分类号: G06T7/62 , G06F18/2137 , G06F18/241 , G06F18/253 , G06V10/26 , G06V10/32 , G06V10/50 , G06V10/764 , G06V10/809 , G06V10/82 , G06V20/13 , G06T2207/20081 , G06T2207/20084
摘要: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.
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公开(公告)号:US20230131330A1
公开(公告)日:2023-04-27
申请号:US18089574
申请日:2022-12-28
申请人: Fujitsu Limited
发明人: Takuya TAKAGI , Ken KOBAYASHI , Kentaro KANAMORI
IPC分类号: G06F18/2137 , G06F18/22 , G06F18/2413 , G16H10/40
摘要: An information processing apparatus obtains a plurality of attribute datasets including a subject attribute dataset, which are each a combination of a plurality of item values, and information indicating an area range that is taken as a target in a dimensional space. The information processing apparatus then performs a determination process of determining a change-target item value to be changed from among the plurality of item values of the subject attribute dataset and a changing direction for the change-target item value on the basis of the distribution of at least some of the plurality of attribute datasets in the dimensional space. The information processing apparatus outputs information indicating a result of changes made by alternately iterating a changing process of changing the change-target item value and the determination process that follows the changing process until the subject attribute dataset is within the area range.
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公开(公告)号:US12131124B2
公开(公告)日:2024-10-29
申请号:US18513406
申请日:2023-11-17
IPC分类号: G06F40/30 , G06F18/2137 , G06N3/04 , G06N20/20
CPC分类号: G06F40/30 , G06F18/21375 , G06N3/04 , G06N20/20
摘要: Described are methods and systems are for generating dynamic conversational queries. For example, as opposed to being a simply reactive system, the methods and systems herein provide means for actively determining a user's intent and generating a dynamic query based on the determined user intent. Moreover, these methods and systems generate these queries in a conversational environment.
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公开(公告)号:US12124800B2
公开(公告)日:2024-10-22
申请号:US17857771
申请日:2022-07-05
申请人: Robert Bosch GmbH
发明人: Bingqing Wang , Ishan Dindorkar , Lars Franke , Zhe Feng
IPC分类号: G06F40/20 , G06F18/2137 , G06F18/22 , G06F40/14 , G06F40/279 , G06N3/044 , G06N3/045
CPC分类号: G06F40/279 , G06F18/21375 , G06F18/22 , G06F40/14 , G06N3/044 , G06N3/045
摘要: Disclosed are systems and methods for a computerized framework that provides a document structure parsing system for requirement engineering documents, where the logical structure of the text is not available, and is to be rebuilt based on the raw textual content. The framework approaches the build of the logical structure according to two phases. The first phase involves creating a list of list of text snippets from the raw text, where sequence labeling is adopted to re-segment and merge initially segmented text snippets. The second phase involves the framework executing computerized techniques including embedding adaptation approach, a hierarchy structure rebuilt algorithm, and a requirement text selection strategy to rebuild the hierarchy structure.
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公开(公告)号:US12031814B2
公开(公告)日:2024-07-09
申请号:US17518429
申请日:2021-11-03
发明人: Shiwali Mohan , Matthew Klenk , Matthew Shreve , Aaron Ang , John Turner Maxwell, III , Kent Evans
IPC分类号: G01B7/00 , B25J9/16 , B25J13/00 , B25J13/08 , G01B7/02 , G05B15/02 , G06F18/2137 , G06F40/10 , G06F40/40
CPC分类号: G01B7/003 , B25J9/163 , B25J9/1664 , B25J13/003 , B25J13/089 , G01B7/023 , G05B15/02 , G06F18/21375 , G06F40/10 , G06F40/40
摘要: A method is provided. The method includes obtaining sensor data indicative of a set of objects detected within an environment. The method also includes generating a state graph based on the sensor data. The state graph includes a set of object nodes and a set of property nodes. The method further includes obtaining user input data generated based on a natural language input. The method further includes updating the state graph based on the user input data to generate an enhanced state graph. The enhanced state graph includes additional nodes generated based on the user input data. The method further includes generating a set of instructions for a set of mechanical systems based on the enhanced state graph. The method further includes operating the set of mechanical systems to achieve a set of objectives based on the set of instructions.
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公开(公告)号:US20240211796A1
公开(公告)日:2024-06-27
申请号:US18087470
申请日:2022-12-22
发明人: Maurice DIESENDRUCK , Leo Moreno BETTHAUSER , Urszula Stefania CHAJEWSKA , Rohith Venkata PESALA , Robin ABRAHAM
IPC分类号: G06N20/00 , G06F18/2113 , G06F18/2137
CPC分类号: G06N20/00 , G06F18/2113 , G06F18/21375
摘要: The present disclosure relates to utilizing an embedding space relationship query exploration system to explore embedding spaces generated by machine-learning models. For example, the embedding space relationship query exploration system facilitates efficiently and flexibly revealing relationships that are encoded in a machine-learning model during training and inferencing. In particular, the embedding space relationship query exploration system utilizes various embeddings relationship query models to explore and discover the relationship types being learned and preserved within the embedding space of a machine-learning model.
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