Visual Place Recognition: A Tutorial

被引：14
|
作者：
Schubert, Stefan [1 ]
Neubert, Peer [2 ]
Garg, Sourav [3 ]
Milford, Michael [4 ]
Fischer, Tobias [4 ]
机构：
[1] Tech Univ Chemnitz, Dept Elect Engn & Informat Technol, D-09126 Chemnitz, Germany
[2] Univ Koblenz, Computat Visualist, D-56070 Koblenz, Germany
[3] Univ Adelaide, Australian Inst Machine Learning, Adelaide 5000, Australia
[4] Queensland Univ Technol, QUT Ctr Robot, Sch Elect Engn & Comp Sci, Brisbane 4000, Australia
来源：
IEEE ROBOTICS & AUTOMATION MAGAZINE | 2024年 / 31卷 / 03期
基金：
澳大利亚研究理事会;
关键词：
Simultaneous localization and mapping; Tutorials; Visualization; Pipelines; Global navigation satellite system; Robots; History; LOCALIZATION; MAP;
D O I：
10.1109/MRA.2023.3310859
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a goal. A rapidly growing field of research in this area is visual place recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images.
引用
收藏
页码：139 / 153
页数：15
相关论文
共 50 条
  • [41] Collaborative Visual Place Recognition through Federated Learning
    Dutto, Mattia
    Berton, Gabriele
    Caldarola, Debora
    Fani, Eros
    Trivigno, Gabriele
    Masone, Carlo
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, 2024, : 4215 - 4225
  • [42] Place Recognition using Kernel Visual Keyword Descriptors
    Ali, Abbas M.
    Rashid, Tarik A.
    2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 921 - 926
  • [43] Robustifying Visual Place Recognition with Semantic Scene Categorization
    Arshad, Saba
    Kim, Gon-Woo
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP 2020), 2020, : 467 - 469
  • [44] EchoVPR: Echo State Networks for Visual Place Recognition
    Ozdemir, Anil
    Scerri, Mark
    Barron, Andrew B.
    Philippides, Andrew
    Mangan, Michael
    Vasilaki, Eleni
    Manneschi, Luca
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 4520 - 4527
  • [45] Limit Characterization for Visual Place Recognition in Underwater Scenes
    Gaspar, Ana Rita
    Nunes, Alexandra
    Matos, Anibal
    ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1, 2023, 589 : 65 - 77
  • [46] Robust Visual Place Recognition for Severe Appearance Changes
    Jiang, Haiyang
    Piao, Songhao
    Yu, Huai
    Li, Wei
    Yu, Lei
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (05) : 4289 - 4296
  • [47] All-Environment Visual Place Recognition with SMART
    Pepperell, Edward
    Corke, Peter I.
    Milford, Michael J.
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2014, : 1612 - 1618
  • [48] Visual Place Recognition using LiDAR Intensity Information
    Di Giammarino, Luca
    Aloise, Irvin
    Stachniss, Cyrill
    Grisetti, Giorgio
    2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 4382 - 4389
  • [49] Kernel Visual Keyword Description for Object and Place Recognition
    Ali, Abbas M.
    Rashid, Tarik A.
    ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS (SIRS-2015), 2016, 425 : 27 - 38
  • [50] Visual Place Recognition using HMM Sequence Matching
    Hansen, Peter
    Browning, Brett
    2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 4549 - 4555
12345