测绘通报 ›› 2026, Vol. 0 ›› Issue (9): 7-18.doi: 10.13474/j.cnki.11-2246.2026.0902

• 综述 • 上一篇    下一篇

地下空间导航定位现状与展望

李林阳1, 赵冬青1, 周庆勇2, 赖路广1, 袁俊俨1, 惠俊1, 樊文哲1, 李鹏飞1   

  1. 1. 信息工程大学地理空间信息学院, 河南 郑州 450001;
    2. 西安测绘研究所, 陕西 西安 710054
  • 收稿日期:2025-12-31 发布日期:2026-10-09
  • 通讯作者: 赵冬青。E-mail:dongqing.zhao@hotmail.com
  • 作者简介:李林阳(1991—),男,博士,副教授,主要研究方向为导航定位与位置服务。E-mail:linyangli@whu.edu.cn
  • 基金资助:
    国家自然科学基金(42474043);河南省自然科学基金优秀青年基金(252300421205)

Status and prospect of navigation and positioning in underground space

Li Linyang1, Zhao Dongqing1, Zhou Qingyong2, Lai Luguang1, Yuan Junyan1, Hui Jun1, Fan Wenzhe1, Li Pengfei1   

  1. 1. School of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China;
    2. Xi'an Research Institute of Surveying and Mapping, Xi'an 710054, China
  • Received:2025-12-31 Published:2026-10-09

摘要: 地下空间已成为我国构建国家综合定位、导航与授时(PNT)体系的关键领域之一。本文围绕地下空间,首先进行了基于导航场景的空间分类,并从信号可用性、场景结构等7个方面系统总结了导航定位面临的挑战;然后从多源传感器融合、预设基站、先验匹配,以及μ子、量子等方面梳理了当前主要的技术和方法,并归纳了开源的地下空间多源传感器数据集;最后围绕前端感知、传感器和平台、集群协同和后端优化展望了未来的发展趋势。

关键词: 地下空间, 挑战场景, 导航定位, 多源融合

Abstract: The navigation and positioning in underground spaces have become one of the key areas for building a comprehensive positioning,navigation and timing(PNT)system.Focusing on underground space,the space classification based on navigation scenarios is conducted firstly,and the challenges faced by navigation and positioning are summarized systematically from seven aspects,including signal availability and scene structure.Secondly,the current main technologies and methods are sorted out in the aspects of multi-source sensor fusion,preset positioning base stations,prior matching,muon,and quantum and other technologies,and open-source multi-sensor datasets for underground space are also given.Finally,the future development trends are discussed in the aspects of front-end perception,sensors and platforms,cluster collaboration,and back-end optimization.

Key words: underground space, challenging scenario, navigation and positioning, multi-sensor fusion

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