无 人 机 韧 性 自 主 定 位 技 术 综 述

Chunhui Zhao, Anmeng Liu, Yang Lyu, Quan Pan

科研成果: 期刊稿件文献综述同行评审

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.

投稿的翻译标题A survey of resilient self-localization for UAV
源语言繁体中文
文章编号028839
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
45
8
DOI
出版状态已出版 - 25 4月 2024

关键词

  • active control
  • information fusion
  • self-localization
  • uncertainty estimation
  • unmanned aerial vehicles resilience

指纹

探究 '无 人 机 韧 性 自 主 定 位 技 术 综 述' 的科研主题。它们共同构成独一无二的指纹。

引用此