METHOD AND DEVICE FOR EXTRACTING KEY FRAMES IN SIMULTANEOUS LOCALIZATION AND MAPPING AND SMART DEVICE

    公开(公告)号:US20210223046A1

    公开(公告)日:2021-07-22

    申请号:US16631920

    申请日:2019-07-31

    Applicant: GOERTEK INC.

    Abstract: A method and device for extracting key frames in simultaneous localization and mapping and a smart device. The method includes acquiring an image frame from an image library storing a plurality of image frames of an unknown environment, and performing feature extraction on the image frame to obtain information of feature points, wherein the information includes a quantity of feature points; acquiring relative motion information of the image frame relative to the previous key frame, and calculating an adaptive threshold currently used by using the relative motion information; and selecting a key frame according to the information of feature points and the adaptive threshold indicating space information of image frames.

    BINOCULAR VISION LOCALIZATION METHOD, DEVICE AND SYSTEM

    公开(公告)号:US20190204084A1

    公开(公告)日:2019-07-04

    申请号:US16302024

    申请日:2018-07-18

    Applicant: GOERTEK INC.

    CPC classification number: G01C21/18 G01C21/005 G01C21/165 G01C21/20 G05D1/02

    Abstract: A binocular vision localization method, device and system are provided. The method includes calculating first pose change information according to two frames of images collected by a binocular camera unit at two consecutive moments and calculating second pose change information according to inertia parameters collected by an inertial measurement unit between the two consecutive moments. Matched feature points in the two frames are extracted from the two frames respectively. A reprojection error of each feature point is calculated. The calculations are taken as nodes or edges of a general graph optimization algorithm to acquire optimized third pose change information for localization. The system includes a binocular vision localization device, and a binocular camera unit and an inertial measurement unit respectively connected thereto, a left-eye camera and a right-eye camera are symmetrically located on two sides of the inertial measurement unit. This can improve accuracy and real-time performance for pose estimation.

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