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公开(公告)号：US11841446B2
公开(公告)日：2023-12-12
申请号：US17214630
申请日：2021-03-26
Inventor： Wenjie Liu , Renlan Cai , Xiaotao Li , Shiyu Song
Abstract: The present application discloses a positioning method and an apparatus, which relate to the technical field of intelligent driving. A specific implementation solution is: determining a first positioning result using point cloud data collected by lidar in combination with a laser point cloud reflection value map; constructing a constraint condition using the first positioning result, where the constraint condition is used to accelerate a convergence speed of solving a receiver position using observation data; performing GNSS-PPP positioning using the constraint condition in combination with observation data of a GNSS receiver to obtain a second positioning result. Using this solution, lidar positioning technology is combined with GNSS-PPP positioning technology to realize a purpose of not relying on a GNSS base station.
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372.发明授权公开(公告)号：US11836836B2
公开(公告)日：2023-12-05
申请号：US17527068
申请日：2021-11-15
Inventor： Shaoxiong Yang
Abstract: Methods and apparatuses for generating a model and generating a 3D animation, devices, and storage mediums are provided. The method for generating a model may include: acquiring a preset sample set; acquiring pre-established generative adversarial nets, the generative adversarial nets including a generator and a discriminator; and performing training steps as follows: selecting a sample from the sample set; extracting a sample audio feature from the sample audio of the sample; inputting the sample audio feature into the generator to obtain a pseudo 3D mesh vertex sequence of the sample; inputting the pseudo 3D mesh vertex sequence and the real 3D mesh vertex sequence of the sample into the discriminator to discriminate authenticity of 3D mesh vertices; and in response to determining that the generative adversarial nets meet a training completion condition, obtaining a trained generator as a model for generating a 3D animation.
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公开(公告)号：US11830236B2
公开(公告)日：2023-11-28
申请号：US17456367
申请日：2021-11-23
Inventor： Shaoxiong Yang
CPC classification number: G06V10/7515 , G06T11/00 , G06V10/242 , G06V10/32 , G06V10/50 , G06V40/161 , G06V40/171
Abstract: Provided are a method and a device for generating an avatar, an electronic equipment, a medium and a product. In the method, a to-be-detected face image of a current user is acquired. The to-be-detected face image is analyzed and at least one original component of the to-be-detected face image is obtained. Each original component of the at least one original component of the to-be-detected face image is matched with each candidate component in a component set corresponding to the each original component, and a target component corresponding to the each original component of the to-be-detected face image is obtained. The target component corresponding to the each original component of the to-be-detected face image is assembled into a personalized avatar of the current user.
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公开(公告)号：US11829447B2
公开(公告)日：2023-11-28
申请号：US17173142
申请日：2021-02-10
Inventor： Xinjiang Lu , Nengjun Zhu , Hui Xiong
IPC: G06F17/18 , G06F18/2323 , G06N3/02 , G06F18/25
CPC classification number: G06F18/2323 , G06F17/18 , G06F18/25 , G06N3/02
Abstract: This disclosure discloses a resident area prediction method, apparatus, device and storage medium, involving artificial intelligence technology, big data, deep learning and multi-task learning. The specific implementation plan is: acquiring a resident area data of a target user, and the resident area data including the resident area of the target user and the corresponding resident time; obtaining an association relationship between the resident areas of the target user by inputting the resident area data into an area relationship model, and the area relationship model is used to reflect a position relationship between the areas; determining a time-sequence relationship between the areas visited by the target user, according to the association relationship, the resident time and the visiting POI data; predicting a target resident area of the target user, according to the time-sequence relationship and the basic attribute information of the target user.
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公开(公告)号：US11823437B2
公开(公告)日：2023-11-21
申请号：US17658508
申请日：2022-04-08
Inventor： Xiao Tan , Xiaoqing Ye , Hao Sun
CPC classification number: G06V10/7715 , G06T3/0031 , G06V10/80 , G06V10/82 , G06V20/56
Abstract: The present disclosure provides a target detection and model training method and apparatus, a device and a storage medium, and relates to the field of artificial intelligence, and in particular, to computer vision and deep learning technologies, which may be applied to smart city and intelligent transportation scenarios. The target detection method includes: performing feature extraction processing on an image to obtain image features of a plurality of stages of the image; performing position coding processing on the image to obtain a position code of the image; obtaining detection results of the plurality of stages of a target in the image based on the image features of the plurality of stages and the position code; and obtaining a target detection result based on the detection results of the plurality of stages.
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Patent Agency Ranking
公开(公告)号：US11823335B2
公开(公告)日：2023-11-21
申请号：US17498204
申请日：2021-10-11
Inventor： Yuhua Dong , Ziwen Qin , Zhaohu Li , Zhaoliang Liu , Zhihao Wang , Haoxing Wang
Abstract: Provided are a tour guiding method and apparatus, an electronic device and a storage medium. The method includes receiving a video stream collected by a user in a current location area of a target scenic spot and sent by an application device; determining, based on the collected video stream and prestored three-dimensional point cloud data of the target scenic spot, an augmented-reality-based content resource package corresponding to the current location area, where the augmented-reality-based content resource package includes at least six-degrees-of-freedom attitude data of the application device; and sending the augmented-reality-based content resource package corresponding to the current location area to the application device to enable the application device to provide the augmented-reality-based content resource package corresponding to the front location area for the user.
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公开(公告)号：US11823306B2
公开(公告)日：2023-11-21
申请号：US17658514
申请日：2022-04-08
Inventor： Ruizhi Chen , Chen Zhao
CPC classification number: G06T11/001 , G06V10/54 , G06V40/168
Abstract: A virtual image generation method and apparatus, an electronic device and a storage medium which relates to the field of artificial intelligence technologies such as augmented reality, computer vision and deep learning. A specific implementation scheme involves: acquiring base coefficients corresponding to key points of a target face based on a target face picture; generating a structure of a virtual image of the target face based on a mapping relationship of spatial alignment between a preset virtual model and a standard model, a base of the standard model and the base coefficients corresponding to the key points of the target face; and performing texture filling on the structure of the virtual image based on textures of the target face picture, to obtain the virtual image of the target face.
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378.发明公开公开(公告)号：US20230368058A1
公开(公告)日：2023-11-16
申请号：US18316917
申请日：2023-05-12
Inventor： Kun FANG
IPC: G06N10/20
CPC classification number: G06N10/20
Abstract: A quantum state transformation method, a quantum state transformation apparatus and an electronic device are provided. The quantum state transformation method includes: constructing, based on a target transforming relationship, a first quantum system in a first quantum state, wherein the first quantum state comprises K initial quantum states; constructing, based on the first quantum state and the second quantum state, a second quantum system in an auxiliary quantum state, wherein the second quantum state is obtained by embedding the target quantum state into Hilbert space of the first quantum state based on a preset quantum state; performing, based on a quantum state transformation operation under the target transforming relationship, and the first quantum system and the second quantum system, a quantum state transformation on the K initial quantum states and the auxiliary quantum state, to obtain the target quantum state and the auxiliary quantum state.
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379.发明公开公开(公告)号：US20230319124A1
公开(公告)日：2023-10-05
申请号：US17975677
申请日：2022-10-28
Inventor： Shuo LI , Xuechao WEI , Yonggao FU , Jiabing LENG , Yawen LIU , Mingfa ZHU , Feng HUANG
IPC: H04L65/61 , H04L65/1073
CPC classification number: H04L65/61 , H04L65/1073
Abstract: The present disclosure provides a method and apparatus for processing a streaming media service, an electronic device, and a storage medium, and relates to the technical field of computers, particularly to technical fields such as industrial vision, deep learning, streaming media, and information flow. A specific implementation solution involves: acquiring registration information of an input source, the registration information including process information of a streaming media service process of the input source and streaming media address information of the input source; enabling the streaming media service process according to the process information; and controlling, by using the streaming media address information, the streaming media service process to process streaming media data of the input source.
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公开(公告)号：US11775574B2
公开(公告)日：2023-10-03
申请号：US17182987
申请日：2021-02-23
Inventor： Yulin Li , Xiameng Qin , Ju Huang , Qunyi Xie , Junyu Han
IPC: G06F16/00 , G06F16/36 , G06F40/279 , G06F18/25 , G06V10/764 , G06V10/80 , G06V10/82 , G06V10/44 , G06V10/426 , G06N3/02
CPC classification number: G06F16/367 , G06F18/253 , G06F40/279 , G06V10/426 , G06V10/454 , G06V10/764 , G06V10/811 , G06V10/82 , G06N3/02
Abstract: A method for visual question answering, a computer device implementing the method and a medium for storing instructions on performing the method are provided. The method includes: acquiring an input image and an input question; constructing a visual graph based on the input image, wherein the visual graph comprises a first node feature and a first edge feature; constructing a question graph based on the input question, wherein the question graph comprises a second node feature and a second edge feature; performing a multimodal fusion on the visual graph and the question graph to obtain an updated visual graph and an updated question graph; determining a question feature based on the input question; determining a fusion feature based on the updated visual graph, the updated question graph and the question feature; and generating a predicted answer for the input image and the input question.
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