PERSON RE-IDENTIFICATION METHOD, COMPUTER-READABLE STORAGE MEDIUM, AND TERMINAL DEVICE

    公开(公告)号:US20230386241A1

    公开(公告)日:2023-11-30

    申请号:US18088800

    申请日:2022-12-27

    CPC classification number: G06V40/10 G06V10/761

    Abstract: A person re-identification method, a storage medium, and a terminal device are provided. In the method, a loss function used during model training is a preset distribution-based triplet loss function constraining a difference between a mean of a negative sample feature distance and a mean of a positive sample feature distance to be larger than a preset difference threshold; where the positive sample feature distance is a distance between a feature of a reference image, and a feature of a positive sample image, and the negative sample feature distance is a distance between the feature of the reference image and a feature of a negative sample image. In this manner, it can constrain the mean of the positive sample feature distance and that of the negative sample feature distance, thereby improving the accuracy of person re-identification results.

    Foot-waist coordinated gait planning method and apparatus and robot using the same

    公开(公告)号:US11602843B2

    公开(公告)日:2023-03-14

    申请号:US16932872

    申请日:2020-07-20

    Abstract: The present disclosure provides a foot-waist coordinated gait planning method and an apparatus and a robot using the same. The method includes: obtaining an orientation of each foot of the legged robot, and calculating a positional compensation amount of each ankle of the legged robot based on the orientation of the foot; obtaining an orientation of a waist of the legged robot, and calculating a positional compensation amount of each hip of the legged robot based on the orientation of the waist; calculating a hip-ankle positional vector of the legged robot; compensating the hip-ankle positional vector based on the positional compensation amount of the ankle and the positional compensation amount of the hip to obtain the compensated hip-ankle positional vector; and performing an inverse kinematics analysis on the compensated hip-ankle positional vector to obtain joint angles of the legged robot.

    Autonomous mobile apparatus and control method thereof

    公开(公告)号:US11579624B2

    公开(公告)日:2023-02-14

    申请号:US16935234

    申请日:2020-07-22

    Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

    Robotic leg and robot having the same

    公开(公告)号:US11447196B2

    公开(公告)日:2022-09-20

    申请号:US16708464

    申请日:2019-12-10

    Abstract: A robotic leg assembly includes a main body having a first end and an opposite second end, a first servo arranged at the first end of the main body, a second servo connected to the main body and comprising an output shaft, a servo holder arranged at the second end of the main body, a third servo received in the servo holder, and a linkage bar mechanism. Each of a first initial angle of the first rotary member and a second initial angle of the second rotary member is in a predetermined range.

    Robot gait planning method and robot with the same

    公开(公告)号:US11420694B2

    公开(公告)日:2022-08-23

    申请号:US16452532

    申请日:2019-06-26

    Abstract: The present disclosure provides a robot gait planning method and a robot with the same. The method includes: obtaining, through the sensor set, force information of feet of the robot under a force applied by a target object; calculating coordinates of zero moment points of the feet of the robot with respect to a centroid of a body of the robot based on the force information; and determining a gait planning result for the robot based on the coordinates of the zero moment points with respect to the centroid of the body. The present disclosure is capable of converting the force of the target object to the zero moment points, and using the zero moment points to perform the gait planning, so that the robot follows the target object in the case that the robot is subjected to a force of the target object.

    GESTURE RECOGNITION METHOD, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20220189208A1

    公开(公告)日:2022-06-16

    申请号:US17566734

    申请日:2021-12-31

    Abstract: A gesture recognition method includes: acquiring a target image containing a gesture to be recognized; inputting the target image to a gesture recognition model that has a first sub-model, a second sub-model, and a third sub-model, the first sub-model is to determine a gesture category and a gesture center point, the second sub-model is to determine an offset of the gesture center point, and the third sub-model is to determine a length and a width of a bounding box for the gesture to be recognized; acquiring an output result from the gesture recognition model, the output result includes the gesture category, the gesture center point, and the offset of the gesture center point, and the length and the width of the bounding box; and determining the gesture category and a position of the bounding box of the gesture to be recognized according to the output result.

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