Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1811003(2022)

Visual Simultaneous Localization and Mapping Method of Semantic Octree Map Toward Indoor Dynamic Scenes

Rongfen Zhang*, Wenhao Yuan, Jin Lu, and Yuhong Liu
Author Affiliations
  • College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, Guizhou , China
  • show less
    References(22)

    [8] Lu J, Liu Y H, Zhang R F. Semantic-based visual odometry towards dynamic scenes[J]. Laser & Optoelectronics Progress, 58, 0611001(2021).

    [9] Zhao H, Liu X D, Yang Y J. Indoor robot simultaneous localization and mapping based on RGB-D image[J]. Journal of Computer Applications, 40, 3637-3643(2020).

    [14] Li Y D, Che J, Xue C. Simultaneous localization and mapping based on point and line feature matching[J]. Laser & Optoelectronics Progress, 59, 0210003(2022).

    [15] Fang Q, Wang X H, Su J. A visual SLAM algorithm through the combination point and line segments based on grouping strategy[J]. Laser & Optoelectronics Progress, 58, 1415003(2021).

    [16] Chen X H, Cai Y F, Tang Y. A visual SLAM algorithm based on point-line invariant[J]. Robot, 42, 485-493(2020).

    [19] Xi Z H, Wang H X, Han S Q. Fast mismatch elimination algorithm and map-building based on ORB-SLAM2 system[J]. Journal of Computer Applications, 40, 3289-3294(2020).

    [20] Gao X, Zhang T, Liu Y[M]. 14 lectures on visual SLAM: from theory to practice(2017).

    Tools

    Get Citation

    Copy Citation Text

    Rongfen Zhang, Wenhao Yuan, Jin Lu, Yuhong Liu. Visual Simultaneous Localization and Mapping Method of Semantic Octree Map Toward Indoor Dynamic Scenes[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1811003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: May. 21, 2021

    Accepted: Jun. 16, 2021

    Published Online: Aug. 22, 2022

    The Author Email: Zhang Rongfen (rfzhang@gzu.edu.cn)

    DOI:10.3788/LOP202259.1811003

    Topics