A survey of resilient self-localization for UAV

被引:0
|
作者
Zhao, Chunhui [1 ,2 ]
Liu, Anmeng [1 ,2 ]
Lyu, Yang [1 ,2 ]
Pan, Quan [1 ,2 ]
机构
[1] School of Automation, Northwestern Polytechnical University, Xi’an,710072, China
[2] Key Laboratory of Information Fusion Technology, Ministry of Education, Xi’an,710072, China
基金
中国国家自然科学基金;
关键词
Active control - Aerial vehicle - Hardware configurations - High reliability - Self localization - Self-localization technologies - Simple++ - Uncertainty estimation - Unmanned aerial vehicle resilience;
D O I
10.7527/S1000-6893.2023.28839
中图分类号
学科分类号
摘要
At present,research on self-localization technology for Unmanned Aerial Vehicle(UAV)is primarily fo⁃ cused on meeting the localization requirements for simple tasks in sparse and friendly environments,employing spe⁃ cific hardware configurations. However,these technologies lack continuity,high reliability,and strong adaptability in large-scale,complex,and dense environments or for long-term and challenging missions,which limits the wide-range and large-scale application of UAV. This paper focuses on resilient self-localization technology for UAV,starting from the three core elements of perception,estimation and control in the self-localization system loop,emphasizing resil⁃ ience indicators such as continuity,reliability,and adaptability. The paper reviews and evaluates domestic and foreign research work from the perspectives of redundant information fusion,robust pose estimation and perception-aware control strategy. The limitations of current UAV self-localization technology under resilience indicators are highlighted,and the technical difficulties of method integration under limited onboard resources are pointed out. Finally,develop⁃ ment trends concerning UAV resilient self-localization technology are prospected. © 2024 Chinese Society of Astronautics. All rights reserved.
引用
收藏
相关论文
共 50 条
  • [1] Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization
    Ye, Junjie
    Fu, Changhong
    Lin, Fuling
    Ding, Fangqiang
    An, Shan
    Lu, Geng
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (06) : 6004 - 6014
  • [2] Self-Localization at Street Intersections
    Fusco, Giovanni
    Shen, Huiying
    Coughlan, James M.
    2014 CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2014, : 40 - 47
  • [3] SELF-LOCALIZATION ON TEXTURE STATISTICS
    Eberhardt, Sven
    Zetzsche, Christoph
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 976 - 980
  • [4] Towards a generalization of self-localization
    Universität Bremen, Cognitive Systems, SFB-TR 8, Bremen, Germany
    不详
    Springer Tracts Adv. Rob., 2008, (105-134):
  • [5] Self-localization for an electric wheelchair
    Wang, Hongbo
    Ishimatsu, Takakazu
    Mian, Jamal Tariq
    JSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing, 1997, 40 (03): : 433 - 438
  • [6] Spontaneous Reorientation for Self-localization
    Bader, Markus
    Vincze, Markus
    ROBOCUP 2013: ROBOT WORLD CUP XVII, 2014, 8371 : 456 - 467
  • [7] SELF-LOCALIZATION OF ELEMENTARY EXCITATIONS
    TOYOZAWA, Y
    APPLIED OPTICS, 1980, 19 (23): : 4101 - 4103
  • [8] Mobile platform self-localization
    Hmam, Hatem
    2007 INFORMATION DECISION AND CONTROL, 2007, : 143 - +
  • [9] Self-localization in the RoboCup environment
    Iocchi, L
    Nardi, D
    ROBOCUP-99: ROBOT SOCCER WORLD CUP III, 2000, 1856 : 318 - 330
  • [10] Towards a generalization of self-localization
    Wolter, Diedrich
    Reksa, Christian
    Latecki, Longin Jan
    ROBOTICS AND COGNITIVE APPROACHES TO SPATIAL MAPPING, 2008, 38 : 105 - +