Corpus cleaning method and corpus entry system

    公开(公告)号:US11580299B2

    公开(公告)日:2023-02-14

    申请号:US16886826

    申请日:2020-05-29

    Inventor: Li Ma Youjun Xiong

    Abstract: The present disclosure provides a corpus cleaning method and a corpus entry system. The method includes: obtaining an input utterance; generating a predicted value of an information amount of each word in the input utterance according to the context of the input utterance using a pre-trained general model; and determining redundant words according to the predicted value of the information amount of each word, and determining whether to remove the redundant words from the input utterance. In such a manner, the objectivity and accuracy of corpus cleaning can be improved.

    BIPED ROBOT CONTROL METHOD AND BIPED ROBOT USING THE SAME AND COMPUTER READABLE STORAGE MEDIUM

    公开(公告)号:US20220379480A1

    公开(公告)日:2022-12-01

    申请号:US17678037

    申请日:2022-02-23

    Abstract: A biped robot control methods and a biped robot using the same as well as a computer readable storage medium are provided. The method includes: obtaining an initial distance between a centroid of a double inverted pendulum model of the biped robot and a support point of the biped robot, an initial moving speed of the centroid and an initial displacement of the centroid; calculating a measured value of a stable point of the doable inverted pendulum model based on the initial distance and the initial moving speed; calculating a control output quantity based on the initial moving speed and the measured value of the stable point; calculating a desired displacement of the centroid of the double-inverted pendulum model based on the initial moving speed, the initial displacement, and the control output quantity; and controlling the biped robot to move laterally according to the desired displacement.

    MULTI-TARGET TRACKING METHOD, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220375106A1

    公开(公告)日:2022-11-24

    申请号:US17866574

    申请日:2022-07-18

    Abstract: A method includes: performing target detection on a current image to obtain detection information of a plurality of detected targets; obtaining position prediction information of each of a plurality of tracked targets and a number of times of tracking losses of targets from tracking information of each of the tracked targets, and determining a first matching threshold for each of the tracked targets according to the number of times of tracking losses of targets; calculating a motion matching degree between each of the tracked targets and each of the detected targets according to the position detection information and the position prediction information; for each of the tracked targets, obtaining a motion matching result according to the motion matching degree and the first matching threshold corresponding to the tracked target; and matching the detected targets and the tracked targets according to the motion matching results to obtain a tracking result.

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