Progress and Achievements of Multi - sensor Fusion Navigation in China during 2019 — 2023

Xingxing Li, Xiaohong Zhang, Xiaoji Niu, Jian Wang, Ling Pel, Fangwen Yu, Hongjuan Zhang, Cheng Yang, Zhouzheng Gao, Quan Zhang, Feng Zhu, Weisong Wen, Tuan Li, Jianchi Liao, Xin Li

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Global Navigation Satellite System (GNSS) can provide all-weather, all-time, high-precision positioning, navigation and timing services, which plays an important role in national security, national economy, public life and other aspects. However, in environments with limited satellite signals such as urban canyons, tunnels, and indoor spaces, it is difficult to provide accurate and reliable positioning services only by satellite navigation. Multi-source sensor integrated navigation can effectively overcome the limitations of single-sensor navigation through the fusion of different types of sensor data such as Inertial Measurement Unit (IMU), vision sensor, and LiDAR, and provide more accurate, stable and robust navigation information in complex environments. We summarizes the research status of multi-source sensor integrated navigation technology, and focuses on the representative innovations and applications of integrated navigation and positioning technology by major domestic scientific research institutions in China during 2019—2023.

Original languageEnglish
Pages (from-to)102-114
Number of pages13
JournalJournal of Geodesy and Geoinformation Science
Volume6
Issue number3
DOIs
Publication statusPublished - 20 Sept 2023

Keywords

  • integrated navigation
  • multi-sensor fusion
  • Simultaneous Localization And Mapping (SLAM)

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