Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111507(2018)

Loop Closure Detection Algorithm Based On Multi-Level Convolutional Neural Network Features

Zhenqiang Bao*, Aihua Li, Zhigao Cui, Yanzhao Su, and Yong Zheng
Author Affiliations
  • Institute of War Support, Rocket Force University of Engineering, Xi'an, Shannxi 710025, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (0)
    References (16)
    Cited By (2)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated: Sep. 13, 2025

    The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)
    Tools

    Get Citation

    Copy Citation Text

    Zhenqiang Bao, Aihua Li, Zhigao Cui, Yanzhao Su, Yong Zheng. Loop Closure Detection Algorithm Based On Multi-Level Convolutional Neural Network Features[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111507

    Download Citation

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

    Category: Machine Vision

    Received: Apr. 21, 2018

    Accepted: Jun. 6, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Zhenqiang Bao (bzhenqiang@163.com)

    DOI:10.3788/LOP55.111507

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology