METHOD, APPARATUS, DEVICE AND MEDIUM FOR CALIBRATING TEMPERATURE DRIFT

    公开(公告)号:US20210356605A1

    公开(公告)日:2021-11-18

    申请号:US17117504

    申请日:2020-12-10

    Abstract: A method, an apparatus, a device, and a medium for calibrating a temperature drift are provided. The method includes: acquiring a first measurement value and a second measurement value, the first measurement value being a measurement value of a to-be-measured quantity at a current moment determined based on an inertial measurement unit, and the second measurement value being a measurement value of the to-be-measured quantity at the current moment determined based on a global positioning system; and determining a temperature drift calibration value of the inertial measurement unit at the current moment based on the first measurement value and the second measurement value.

    METHOD FOR SIMULATING OBSTACLE IN UNMANNED SIMULATION SCENE

    公开(公告)号:US20210354727A1

    公开(公告)日:2021-11-18

    申请号:US17119662

    申请日:2020-12-11

    Abstract: The present disclosure discloses a method for simulating an obstacle in an unmanned simulation scene, an electronic device, and a storage medium, and relates to a field of unmanned driving technologies. The method includes: for obstacle information in a three-dimensional scene map, determining Gaussian distribution information of obstacle position detected by using a perception algorithm to be tested based on actual perception performance of the perception algorithm; adjusting each position of the simulated obstacle in the initial motion trajectory sequence, such that a position deviation between each adjusted position point in the target motion trajectory sequence and the corresponding position point in the initial motion trajectory sequence follows a Gaussian distribution; and adding the target motion trajectory sequence of the simulated obstacle to the three-dimensional scene map.

    PORTRAIT EXTRACTING METHOD AND APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20210350541A1

    公开(公告)日:2021-11-11

    申请号:US17382871

    申请日:2021-07-22

    Abstract: The disclosure provides a portrait extracting method, a portrait extracting apparatus and a storage medium. The method includes: obtaining an image to be processed; obtaining a semantic segmentation result and an instance segmentation result of the image, in which the semantic segmentation result includes a mask image of a portrait area of the image, and the instance segmentation result includes a mask image of at least one portrait in the image; fusing the mask. image of the at least one portrait and the mask image of the portrait area to generate a fused mask image of the at least one portrait; and extracting the at least one portrait in the image based on the fused mask image of the at least one portrait.

    PROCESSING METHOD AND APPARATUS OF NEURAL NETWORK MODEL

    公开(公告)号:US20210350228A1

    公开(公告)日:2021-11-11

    申请号:US17133949

    申请日:2020-12-24

    Abstract: The disclosure provides a processing method and an apparatus of a neural network model, and relates to a field of computer technologies. The method includes: obtaining and converting input data of the ith processing layer into a plurality of capsule nodes; performing affine transformation on the plurality of the capsule nodes to generate a plurality of affine nodes; determining an initial activation input value according to the plurality of the affine nodes, and inputting the initial activation input value into an activation function to generate an initial activation output value; re-determining the initial activation input value according to an affine node corresponding to the initial activation output value, and inputting the re-determined initial activation input value into the activation function to regenerate the initial activation output value; repeating the acts for a preset number of times to determine the latest initial activation output value as an activation output value.

    Method and apparatus for controlling traffic

    公开(公告)号:US11172018B2

    公开(公告)日:2021-11-09

    申请号:US16675722

    申请日:2019-11-06

    Abstract: Embodiments of the present disclosure relate to a method and apparatus for controlling traffic. A method may include: acquiring node identifiers of a plurality of traffic control nodes in a distributed system and a resource identifier of at least one kind of resource controlled by the distributed system; determining, according to the identifiers and at least one resource identifier, at least one traffic control node for controlling the at least one kind of resource in the distributed system being a resource control node; acquiring a configuration quota of the at least one kind of resource; and sending at least one configuration quota to a resource control node controlling a corresponding resource, for the resource control node to determine control quotas for the traffic control nodes in the distributed system.

    Method and apparatus for generating patch

    公开(公告)号:US11169792B2

    公开(公告)日:2021-11-09

    申请号:US16133436

    申请日:2018-09-17

    Inventor: Qi Liu Yu Zhang

    Abstract: Embodiments of the disclosure disclose a method and apparatus for generating a patch file. A specific embodiment of the method comprises: acquiring a first target file for establishing a target process, the first target file comprising a first symbol table; acquiring a second target file compiled based on a target source code file, the second target file comprising a second symbol table; determining a difference symbol between the first target file and the second target file using the first symbol table and the second symbol table; and generating a patch file based on the difference symbol. The embodiment has enriched the way to generate a patch file.

    METHOD FOR TRAINING SEMANTIC ANALYSIS MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20210342549A1

    公开(公告)日:2021-11-04

    申请号:US17375156

    申请日:2021-07-14

    Abstract: The disclosure provides a method for training a semantic analysis model, an electronic device and a storage medium. The method includes: obtaining a plurality of training data, in which each of the plurality of training data comprises a search word, information on at least one text obtained by searching the search word, and at least one associated word corresponding to the at least one text; constructing a graph model based on the training data, and determining target training data from the plurality of training data by using the graph model, the target training data comprising search word samples, information samples and associated word samples; and training a semantic analysis model based on the search word samples, the information samples, and the associated word samples.

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