Comprehensive Review of Multimodal Data Fusion Methods for Construction Robot Localization

被引：0
|
作者：
Li, Jiayi [1 ]
Ma, Zhiliang [1 ]
Cheng, Lijie [2 ]
Ji, Xinlin [2 ]
机构：
[1] School of Civil Engineering, Tsinghua University, Beijing,100084, China
[2] Department of Civil Engineering, The University of Hong Kong, 999077, Hong Kong
来源：
Computer Engineering and Applications | 2024年 / 60卷 / 15期
关键词：
D O I：
10.3778/j.issn.1002-8331.2402-0008
中图分类号：
学科分类号：
摘要：
Sensor data fusion
引用
收藏
页码：11 / 23
相关论文
共 50 条
  • [1] Deep learning in multimodal remote sensing data fusion: A comprehensive review
    Li, Jiaxin
    Hong, Danfeng
    Gao, Lianru
    Yao, Jing
    Zheng, Ke
    Zhang, Bing
    Chanussot, Jocelyn
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 112
  • [2] A review of multivariate methods for multimodal fusion of brain imaging data
    Sui, Jing
    Adali, Tuelay
    Yu, Qingbao
    Chen, Jiayu
    Calhoun, Vince D.
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2012, 204 (01) : 68 - 81
  • [3] Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications
    Teoh, Jing Ru
    Dong, Jian
    Zuo, Xiaowei
    Lai, Khin Wee
    Hasikin, Khairunnisa
    Wu, Xiang
    [J]. PeerJ Computer Science, 2024, 10
  • [4] Multimodal data fusion for sensitive scene localization
    Moreira, Daniel
    Avila, Sandra
    Perez, Mauricio
    Moraes, Daniel
    Testoni, Vanessa
    Valle, Eduardo
    Goldenstein, Siome
    Rocha, Anderson
    [J]. INFORMATION FUSION, 2019, 45 : 307 - 323
  • [5] Progress and Prospects of Multimodal Fusion Methods in Physical Human-Robot Interaction: A Review
    Xue, Teng
    Wang, Weiming
    Ma, Jin
    Liu, Wenhai
    Pan, Zhenyu
    Han, Mingshuo
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (18) : 10355 - 10370
  • [6] Comparison of two data fusion methods for localization of wheeled mobile robot in farm conditions
    Erfani, S.
    Jafari, A.
    Hajiahmad, A.
    [J]. ARTIFICIAL INTELLIGENCE IN AGRICULTURE, 2019, 1 : 48 - 55
  • [7] Research on precise identification and localization methods for static small targets based on multimodal data fusion
    Zhang, Fubao
    Cui, Mingyue
    Zhang, Congrui
    Wang, Demin
    Zhou, Lan
    Cao, Yanfeng
    Liu, Susu
    [J]. MEASUREMENT, 2025, 239
  • [8] Multimodal data fusion for systems improvement: A review
    Gaw, Nathan
    Yousefi, Safoora
    Gahrooei, Mostafa Reisi
    [J]. IISE TRANSACTIONS, 2022, 54 (11) : 1098 - 1116
  • [9] Data Fusion of an Attitude Estimator for Global Localization of a Robot
    Salmeron-Quiroz, B. B.
    Villegas-Medina, G.
    Guerrero-Castellanos, J. F.
    Villalobos-Martinez, R.
    Mendoza-Nunez, M. A.
    [J]. 2013 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE), 2013, : 342 - 347
  • [10] A REVIEW OF SENSOR TECHNOLOGY AND SENSOR FUSION METHODS FOR MAP-BASED LOCALIZATION OF SERVICE ROBOT
    Yong, Lim Thol
    Fai, Yeong Che
    Ming, Eileen Su Lee
    [J]. JURNAL TEKNOLOGI, 2016, 78 (7-5): : 23 - 30
12345