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公开(公告)号：US20220244057A1
公开(公告)日：2022-08-04
申请号：US17726450
申请日：2022-04-21
Inventor： Xiangyang WANG , Huaifei XING
Abstract: The present disclosure provides a map data fusion method and apparatus, an electronic device, a medium and a program product. The method includes: acquiring first map data and second map data; based on a first feature descriptor set and a second feature descriptor set included in the first map data and the second map data respectively, determining a set of matching point pairs between a first set of three-dimensional coordinate points and a second set of three-dimensional coordinate points included in the first map data and the second map data respectively; determining a pose transformation matrix between the first map data and the second map data based on the set of matching point pairs; and fusing the first map data and the second map data into third map data based on the pose transformation matrix.
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232.发明申请公开(公告)号：US20220237529A1
公开(公告)日：2022-07-28
申请号：US17720638
申请日：2022-04-14
Inventor： Xin ZHANG
Abstract: A method for determining a status of a trajectory point is provided. The present disclosure relates to the field of artificial intelligence, and in particular to the field of intelligent transportation. An implementation is: obtaining a plurality of trajectory points based on trajectory data, where the trajectory data is obtained based on a positioning system; extracting a trajectory feature and a geographical environment feature of each of the plurality of trajectory points to obtain a plurality of feature vectors corresponding to the plurality of trajectory points; and determining a status of each trajectory point in the plurality of trajectory points based on the plurality of feature vectors.
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公开(公告)号：US20220237376A1
公开(公告)日：2022-07-28
申请号：US17718285
申请日：2022-04-11
Inventor： Yaqing Wang , Dejing Dou
IPC: G06F40/279 , G06F40/253 , G06F40/117 , G06N3/04
Abstract: A computer-implemented method for text classification is provided. The method for text classification includes obtaining an entity category set and a part-of-speech tag set associated with a text. The method further includes constructing a first isomorphic graph for the entity category set and a second isomorphic graph for the part-of-speech tag set. A node of the first isomorphic graph corresponds to an entity category in the entity category set, and a node of the second isomorphic graph corresponds to a part-of-speech tag in the part-of-speech tag set. The method further includes obtaining, based on the first isomorphic graph and the second isomorphic graph, a first text feature and a second text feature of the text through a graph neural network. The method further includes classifying the text based on a fused feature of the first text feature and the second text feature.
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公开(公告)号：US20220234593A1
公开(公告)日：2022-07-28
申请号：US17717834
申请日：2022-04-11
Inventor： Siyuan WU
Abstract: An interaction method for an intelligent cockpit is provided. It relates to the technical field of artificial intelligence, and in particular to intelligent interaction. An implementation is: acquiring multimodal information associated with the intelligent cockpit according to an interaction instruction of a user; preprocessing the multimodal information; determining, by using a pre-trained multimodal information alignment model, whether the preprocessed multimodal information is aligned with the interaction instruction; and determining a response strategy for the interaction instruction based on a result of the determination and the preprocessed multimodal information.
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公开(公告)号：US20220228880A1
公开(公告)日：2022-07-21
申请号：US17712557
申请日：2022-04-04
Inventor： Tingting Zhai , Peng Yang , Hongfei Zhu
IPC: G01C21/36
Abstract: The present disclosure provides a method for generating navigation information, an apparatus for generating navigation information, a device, a medium, and a product. The present disclosure relates to the technical field of computers, and specifically relates to the technical field of artificial intelligence, and the present disclosure may be applied to a map navigation scenario. A specific implementation includes: acquiring intersection feature information; determining a set of a complex intersection based on the intersection feature information; determining intersection type information corresponding to the complex intersection in the set of the complex intersection; and generating navigation information corresponding to the complex intersection in the set of the complex intersection based on the intersection type information.
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Patent Agency Ranking
公开(公告)号：US20220224536A1
公开(公告)日：2022-07-14
申请号：US17657356
申请日：2022-03-30
Inventor： Lei ZHANG , Bingxin FAN , Qi ZHENG , Chunhui WAN , Wei XIAO
IPC: H04L9/32 , H04L67/104
Abstract: Provided are a method and apparatus for blockchain community governance, a device and a storage medium. The method is described below. A community governance transaction request initiated by a blockchain account and a governance scene to which the community governance transaction request belongs are acquired. Community governance authority of the blockchain account in the governance scene is verified according to the governance scene and governance token resource information in the blockchain account. In a case where a community governance authority verification is successful, the community governance transaction request is executed.
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237.发明申请公开(公告)号：US20220222951A1
公开(公告)日：2022-07-14
申请号：US17709283
申请日：2022-03-30
Inventor： Xiaoqing Ye , Hao Sun
Abstract: A 3D object detection method includes: obtaining a first monocular image; and inputting the first monocular image into an object model, and performing a first detection operation to obtain first detection information in a 3D space, wherein the first detection operation includes performing feature extraction in accordance with the first monocular image to obtain a first point cloud feature, adjusting the first point cloud feature in accordance with a target learning parameter to obtain a second point cloud feature, and performing 3D object detection in accordance with the second point cloud feature to obtain the first detection information, wherein the target learning parameter is used to present a difference degree between the first point cloud feature and a target point cloud feature of the first monocular image.
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公开(公告)号：US20220222111A1
公开(公告)日：2022-07-14
申请号：US17707895
申请日：2022-03-29
Inventor： Haifeng Wang , Xiaoguang HU , Dianhai YU , Yanjun MA , Tian WU
Abstract: A scheduling method for a deep learning framework, a scheduling apparatus, an electronic device, a storage medium, and a program product is provided, and can be used in the field of artificial intelligence, especially in the fields of machine learning, deep learning, etc. The method includes: receiving a processing request for processing a plurality of tasks by using a dedicated processing unit, the processing request including scheduling requirements for the plurality of tasks, and each of the plurality of tasks being associated with execution of multi-batch data processing; and scheduling, based on the scheduling requirements for the plurality of tasks in batches of data, the dedicated processing unit to process the plurality of tasks.
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公开(公告)号：US11379980B2
公开(公告)日：2022-07-05
申请号：US17097632
申请日：2020-11-13
Inventor： Fangxin Shang , Yehui Yang , Lei Wang , Yanwu Xu
Abstract: The present application discloses an image processing method, an apparatus, an electronic device and a storage medium. A specific implementation is: acquiring an image to be processed; acquiring a grading array according to the image to be processed and a grading network model, where the grading network model is a model pre-trained according to mixed samples, the number of elements contained in the grading array is C−1, C is the number of lesion grades, C lesion grades include one lesion grade without lesion and C−1 lesion grades with lesion, and a kth element in the grading array is a probability of a lesion grade corresponding to the image to be processed being greater than or equal to a kth lesion grade, where 1≤k≤C−1, and k is an integer; determining the lesion grade corresponding to the image to be processed according to the grading array.
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240.发明申请公开(公告)号：US20220189189A1
公开(公告)日：2022-06-16
申请号：US17683508
申请日：2022-03-01
Inventor： Licheng TANG , Jiaming LIU
IPC: G06V30/244 , G06V10/82 , G06V10/778 , G06V30/12 , G06V30/18 , G06V10/764 , G06N3/04
Abstract: A method of training a cycle generative networks model and a method of building a character library are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and which may be applied to a scene such as image processing and image recognition. A specific implementation scheme includes: inputting a source domain sample character into the cycle generative networks model to obtain a first target domain generated character; calculating a character error loss and a feature loss of the cycle generative networks model by inputting the first target domain generated character and a preset target domain sample character into a character classification model; and adjusting a parameter of the cycle generative networks model according to the character error loss and the feature loss. An electronic device and a storage medium are further provided.
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