High-precision map construction method, apparatus and electronic device

    公开(公告)号:US12190445B2

    公开(公告)日:2025-01-07

    申请号:US17974416

    申请日:2022-10-26

    Abstract: A high-precision map construction method, apparatus, and electronic device are provided. The method can include: displaying a first color image corresponding to a first track point; according to a first color sub-image and a depth image corresponding to the first track point, obtaining point cloud data corresponding to the first sub-color image, wherein the first sub-color image is a sub-image corresponding to an element to be added in the first color image, and the element to be added is an element to be added in a high-precision map for display; extracting a bounding box corresponding to the point cloud data; and generating a newly-added three-dimensional element according to the bounding box in the high-precision map.

    METHOD AND APPARATUS FOR SCHEDULING A BACK-RESOURCE LINK, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250008168A1

    公开(公告)日:2025-01-02

    申请号:US18747103

    申请日:2024-06-18

    Inventor: Chenfei Wang

    Abstract: The disclosure provides a method and an apparatus for scheduling a return-to-origin link, an electronic device and a storage medium, and relates to a field of artificial intelligence technologies, more particularly to a field of cloud computing and cloud storage technologies. The method includes: constructing a custom data frame, the custom data frame including address information of a push stream node; adding the custom data frame to live data to be transmitted, and distributing the live data by a first return-to-origin link to edge nodes which receive a play request of each user; requesting to employ a second return-to-origin link to perform return-to-origin operation in response to detecting that a line traffic corresponding to any edge node in the edge nodes which receive the play request of each user exceeds a preset threshold, the second return-to-origin link being shorter than the first return-to-origin link; and integrating the live data transmitted by the first return-to-origin link and live data transmitted by the second return-to-origin link, and distributing integrated live data to the user. With the disclosure, delay the reduced without introducing other central control system, and the user experience is improved.

    Speech recognition and codec method and apparatus, electronic device and storage medium

    公开(公告)号:US12183324B2

    公开(公告)日:2024-12-31

    申请号:US17738651

    申请日:2022-05-06

    Abstract: The present disclosure provides speech recognition and codec methods and apparatuses, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent speech, deep learning and natural language processing. The speech recognition method may include: acquiring an audio feature of to-be-recognized speech; encoding the audio feature to obtain an encoding feature; truncating the encoding feature to obtain continuous N feature fragments, N being a positive integer greater than one; and acquiring, for any one of the feature segments, corresponding historical feature abstraction information, encoding the feature segment in combination with the historical feature abstraction information, and decoding an encoding result to obtain a recognition result corresponding to the feature segment, wherein the historical feature abstraction information is information obtained by feature abstraction of recognized historical feature fragments.

    Ranking of recall data
    34.
    发明授权

    公开(公告)号:US12174902B2

    公开(公告)日:2024-12-24

    申请号:US18016754

    申请日:2022-07-25

    Inventor: Zhou Cheng

    Abstract: A method is provided that includes: determining a plurality of recall data associated with data to be searched; determining, for each recall data of the plurality of recall data, a recommendation degree of the recall data based on a similarity between the recall data and each recall data of the plurality of recall data; and ranking the recall data in the plurality of recall data based on the recommendation degree of each recall data of the plurality of recall data.

    METHOD OF PROVIDING MODEL SERVICES
    36.
    发明申请

    公开(公告)号:US20240419991A1

    公开(公告)日:2024-12-19

    申请号:US18747725

    申请日:2024-06-19

    Abstract: A method is provided that includes: creating a plurality of first model instances of a first service model to be deployed; allocating an inference service for each of a plurality of first model instances from the plurality of inference services; calling, for each first model instance, a loading interface of the inference service allocated for the first model instance to mount a weight file; determining, in response to a user request for a target service model, a target model instance from a plurality of model instances of the target service model to respond to the user request; and calling a target inference service allocated for the target model instance to use computing resources configured for the target inference service to run, in the target model instance, a base model mounted with a target weight file, and obtain a request result of the user request.

    METHOD FOR PROCESSING INFORMATION
    37.
    发明申请

    公开(公告)号:US20240419484A1

    公开(公告)日:2024-12-19

    申请号:US18817035

    申请日:2024-08-27

    Abstract: A method for processing information is provided. The method includes obtaining input information to be processed. The method further includes determining execution information associated with processing of the input information. The execution information includes at least one of memory information to be retrieved or tool information to be invoked. The method further includes obtaining, by using the execution information, at least one piece of processing result information corresponding to the processing of the input information. The method further includes the at least one piece of processing result information to generate output information for feedback.

    RECOMMENDED METHODS, DEVICES, ELECTRONIC DEVICES, AND STORAGE MEDIA FOR LARGE MODEL INTERFACE CONFIGURATION

    公开(公告)号:US20240411552A1

    公开(公告)日:2024-12-12

    申请号:US18748345

    申请日:2024-06-20

    Abstract: A computer-implemented method for recommending a large model interface configuration includes: obtaining a search space of a model interface configuration and a test data set, wherein the search space comprises at least one candidate model interface and a value range of a hyperparameter; and obtaining a plurality of model interface configuration sets based on the search space, wherein each model interface configuration set comprises a candidate model interface and a value of the hyperparameter; and obtaining a test result corresponding to each model interface configuration set, by using the test data set to test a large model called based on each model interface configuration set; and determining a target interface configuration based on the test results corresponding to the plurality of model interface configuration sets.

    OBJECT SEGMENTATION METHOD AND APPARATUS, AND ELECTRONIC DEVICE

    公开(公告)号:US20240404236A1

    公开(公告)日:2024-12-05

    申请号:US18008367

    申请日:2021-12-08

    Inventor: Wenhua HAN

    Abstract: An object segmentation method includes: generating and inputting a frame to be identified, a previous frame of the frame to be identified and a reference frame based on a video to be identified into an encoding network to generate a feature map of the frame to be identified, a target object feature map of the reference frame and a target object feature map of the previous frame; generating a first correlation matrix and a second correlation matrix; generating a first correlation feature map and a second correlation feature map; and generating an object segmentation image corresponding to a current frame based on the feature map of the frame to be identified.

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