Review of vision-based Simultaneous Localization and Mapping

被引：0
|
作者：
Li, Ang [1 ,2 ]
Ruan, Xiaogang [1 ,2 ]
Huang, Jing [1 ,2 ]
Zhu, Xiaoqing [1 ,2 ]
Wang, Fei [1 ,2 ]
机构：
[1] Beijing Univ Technol, Coll Elect & Control Engn, Beijing, Peoples R China
[2] Beijing Key Lab Computat Intelligence & Intellige, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
visual simultaneous localization and mapping; robot; visual odometry; graph optimization; loop closure detection; MONOCULAR SLAM; WORDS;
D O I：
10.1109/itnec.2019.8729285
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Vision-based simultaneous localization and mapping (VSLAM) which uses visual sensor to make a robot locate itself in an unknown environment while simultaneously construct a map of the environment. With the continuous development of computer vision and robotics, VSLAM has become a supporting technology for popular fields such as unmanned aerial vehicle, virtual reality and unmanned driving. In this paper, the classical framework of visual SLAM is introduced briefly. On this basis, the key technologies and latest research progress of VSLAM from indirect and direct methods are surveyed. Then the research progress of deep learning techniques applied to VSLAM is reviewed. Finally, the development tendency of VSLAM is discussed.
引用
收藏
页码：117 / 123
页数：7
相关论文
共 50 条
  • [1] Vision-based simultaneous localization and mapping with two cameras
    Kim, GH
    Kim, JS
    Hong, KS
    [J]. 2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2005, : 3401 - 3406
  • [2] Vision-Based Simultaneous Localization and Mapping on Lunar Rover
    An, Pei
    Liu, Yanchao
    Zhang, Wei
    Jin, Zhaojun
    [J]. 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC), 2018, : 487 - 493
  • [3] Inertial Navigation Aided by Vision-Based Simultaneous Localization and Mapping
    Sazdovski, Vasko
    Silson, Peter M. G.
    [J]. IEEE SENSORS JOURNAL, 2011, 11 (08) : 1646 - 1656
  • [4] Virtual Vectors for Vision-Based Simultaneous Localization and Mapping System
    Cui, Jianyuan
    Huang, Yingping
    Luo, Xin
    Bai, Yanbiao
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (09): : 8003 - 8010
  • [5] Vision-based multi-robot simultaneous localization and mapping
    Hajjdiab, H
    Laganière, R
    [J]. 1ST CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION, PROCEEDINGS, 2004, : 155 - 162
  • [6] Stereo Vision-based Simultaneous Localization and Mapping with Ranging Aid
    Lee, Young-Hee
    Zhu, Chen
    Giorgi, Gabriele
    Guenther, Christoph
    [J]. 2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2018, : 404 - 409
  • [7] Vision-based Simultaneous Localization and Mapping in Changing Outdoor Environments
    Milford, Michael
    Vig, Eleonora
    Scheirer, Walter
    Cox, David
    [J]. JOURNAL OF FIELD ROBOTICS, 2014, 31 (05) : 814 - 836
  • [8] A simple landmark model for vision-based simultaneous localization and mapping
    Nguyen, Xuan-Dao
    You, Bum-Jae
    Oh, Sang-Rok
    [J]. 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 2659 - +
  • [9] Robust Vision-based Simultaneous Localization and Mapping for Highly Dynamic Scenes
    Zhang, Zijian
    Lei, Qiaoyu
    Li, Chao
    Zhuang, Zhipeng
    Yan, Bo
    [J]. 2021 6TH INTERNATIONAL CONFERENCE ON UK-CHINA EMERGING TECHNOLOGIES (UCET 2021), 2021, : 221 - 228
  • [10] Experimental airborne NH∞ vision-based simultaneous localization and mapping in unknown environments
    Nemra, A.
    Aouf, N.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2010, 224 (G12) : 1253 - 1270
12345