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公开(公告)号：US12158839B2
公开(公告)日：2024-12-03
申请号：US17454900
申请日：2021-11-15
Abstract: The disclosure provides a method and an apparatus for allocating memory, and an electronic device. Multiple frames of speech data are received and input to a neural network model. The neural network model is configured to ask for multiple data tensors when processing the multiple frames of speech data, and the multiple data tensors share a common memory.
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公开(公告)号：US12147247B2
公开(公告)日：2024-11-19
申请号：US17884136
申请日：2022-08-09
Inventor： Haodong Ding , Liangjun Zhang
IPC: G05D1/00
Abstract: Provided are a vehicle attitude estimation method, an electronic device and a storage medium, relates to a technical field of data processing, and in particular to fields of automatic driving, intelligent transportation, Internet of Things, big data and the like. A specific implementation solution includes: obtaining first target data, based on point cloud data of a vehicle, the first target data being capable of constituting a target surface of the vehicle; performing attitude estimation on a target body for surrounding the vehicle, based on the first target data, to obtain an estimation result; and estimating an attitude of the vehicle, based on the estimation result. According to the implementation solution, precise or accurate estimation of the attitude of the vehicle may be achieved.
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公开(公告)号：US20240371259A1
公开(公告)日：2024-11-07
申请号：US18393376
申请日：2023-12-21
Inventor： Yixiong XIAO , Hao YUAN , Jingbo ZHOU
IPC: G08G1/01
Abstract: Provided is a source tracing method for traffic congestion, an electronic device and a storage medium, relating to the field of smart transportation, traffic management, traffic information processing and other technologies. The method includes: determining an undetermined road section and at least two reference road sections related to the undetermined road section from a target road network; obtaining a congestion infection distance between the undetermined road section and the reference road section within a target period; calculating a congestion time difference between a first congestion moment of the undetermined road section within the target period and a second congestion moment of the reference road section within the target period; and determining the undetermined road section as a congestion source of the target road network within the target period when determining that a correlation between the congestion infection distance and the congestion time difference meets a preset correlation requirement.
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公开(公告)号：US20240370719A1
公开(公告)日：2024-11-07
申请号：US18512766
申请日：2023-11-17
Inventor： Congxi XIAO , Jizhou HUANG , Jingbo ZHOU
Abstract: This disclosure provides a data generation method, model training method, electronic device, and medium. The data generation method includes: obtaining urban graph data, the urban graph data including a node set, an edge set and a feature set, wherein the node set includes a central node corresponding to a predetermined urban entity, the edge set includes a neighborhood corresponding to the central node, the neighborhood includes other nodes in the node set connected to the central node via an edge, and the feature set includes features of nodes in the node set; partitioning a target region into at least two sub-regions to obtain a region partition set; obtaining a regional feature of each sub-region by aggregating features corresponding to all nodes in the sub-region; and updating a feature of the central node based on the regional features of the sub-regions in the region partition set to obtain target feature data.
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公开(公告)号：US20240370485A1
公开(公告)日：2024-11-07
申请号：US18748078
申请日：2024-06-19
Inventor： Chenchang ZHU , Jialin FENG
IPC: G06F16/435 , G06F16/438
Abstract: The present disclosure provides a vector retrieval method and apparatus, a device and a medium, and relates to the field of artificial intelligence technologies, particularly the fields of cloud computing technologies, big data technologies, or the like. The vector retrieval method includes: acquiring a plurality of candidate vector indexes generated in advance, the plurality of candidate vector indexes being generated based on a plurality of candidate field values included in a target field of original data; acquiring a query vector and a filter condition, the filter condition being used for indicating a condition required to be satisfied by a target vector corresponding to the query vector; if the filter condition includes a target field value required to be satisfied by the target field, determining a target vector index corresponding to the target field value in the plurality of candidate vector indexes; and performing query in the target vector index based on the query vector to obtain the target vector.
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Patent Agency Ranking
公开(公告)号：US12136161B2
公开(公告)日：2024-11-05
申请号：US17899334
申请日：2022-08-30
Inventor： Yanlong Chang
Abstract: The present disclosure provides a method of processing an information, a method of rending an image, and an electronic device. A specific implementation solution may include: acquiring a target image obtained by rendering, wherein the target image contains one or more target parameter information corresponding to one or more rendering indexes respectively; generating a rendering code according to the target parameter information of the target image, wherein the rendering code is for rendering an image to be rendered; and transmitting the rendering code to a second electronic device.
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公开(公告)号：US12125224B2
公开(公告)日：2024-10-22
申请号：US17564626
申请日：2021-12-29
Inventor： Xibin Song , Liangjun Zhang
CPC classification number: G06T7/55 , G06V20/58 , G06V20/588 , G06T2207/10028
Abstract: Provided are a depth information processing method, an apparatus, and a storage medium, which relate to the field of image processing and, in particular, to computer vision, deep learning and autonomous driving. A specific implementation includes: determining intermediate depth information of a target scene according to sparse depth information of the target scene by a sub-model unit in a depth information supplementing model; and using intermediate depth information determined by a tail sub-model unit in the depth information supplementing model as dense depth information of the target scene.
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公开(公告)号：US12122369B2
公开(公告)日：2024-10-22
申请号：US17713424
申请日：2022-04-05
Inventor： Lantian Shangguan , Guibin Tian , Songtao Chang
CPC classification number: B60W30/09 , B60W60/0011 , G01C21/3415 , B60W2520/06 , B60W2554/802
Abstract: The present disclosure provides a route processing method and apparatus. The solution includes: acquiring an initial traveling route, which includes a plurality of track points, corresponding to a vehicle; determining a vehicle traveling area, which includes an area where the vehicle is located when traveling to the track point, corresponding to each track point; determining at least one target track point in the plurality of track points according to the vehicle traveling area, where a first obstacle exists in the vehicle traveling area; performing updating processing on a position of each target track point in the initial traveling route respectively according to the position of the each target track point and a position of the first obstacle, and obtaining a target traveling route according to the target track point for which the updating processing has been performed; and controlling the vehicle to travel according to the target traveling route.
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49.发明公开公开(公告)号：US20240338962A1
公开(公告)日：2024-10-10
申请号：US18747599
申请日：2024-06-19
Inventor： Haiwei WANG , Zhongwen ZHANG , Gang LI
IPC: G06V30/414 , G06V30/418
CPC classification number: G06V30/414 , G06V30/418
Abstract: The present disclosure provides an image based human-computer interaction method, which includes: acquiring a to-be-analyzed image, and determining image layout information and image content information of the to-be-analyzed image, where the to-be-analyzed image includes a variety of modal data, the image layout information represents distribution of image elements with preset granularity in the to-be-analyzed image, and the image content information represents a content expressed by the modal data in the to-be-analyzed image; and determining, in response to acquiring question information, response information corresponding to the question information according to the image layout information and the image content information, where the question information represents a question proposed by a user for the to-be-analyzed image, and the response information represents a reply answer corresponding to the question information. By extracting layout information and content information from an image, the accuracy of answering a question and user experience of human-computer interaction are improved.
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公开(公告)号：US12093297B2
公开(公告)日：2024-09-17
申请号：US17577561
申请日：2022-01-18
Inventor： Wenhao Wu , Wei Li , Xinyan Xiao , Jiachen Liu
CPC classification number: G06F16/345 , G06F40/51 , G06F40/56
Abstract: The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.
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