Journal of Geodesy and Geoinformation Science ›› 2023, Vol. 6 ›› Issue (3): 102-114.doi: 10.11947/j.JGGS.2023.0310

• Literature Review • Previous Articles     Next Articles

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

Xingxing LI1(), Xiaohong ZHANG1, Xiaoji NIU1, Jian WANG2, Ling PEI3, Fangwen YU4, Hongjuan ZHANG1, Cheng YANG5, Zhouzheng GAO5, Quan ZHANG1, Feng ZHU1, Weisong WEN6, Tuan LI7,8, Jianchi LIAO9, Xin LI1   

  1. 1. Shool of Geodesy and Geomatics, Wuhan University, Wuhan 430074, China
    2. School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    3. Shanghai Jiao Tong University, Shanghai 200052, China
    4. Center for Brain-inspired Computing Research, Tsinghua University, Beijing 100084, China
    5. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100084, China
    6. Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University,Hong Kong 900777, China
    7. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
    8. Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China
    9. Hubei Luojia Laboratory, Wuhan 430074, China
  • Received:2023-08-06 Accepted:2023-08-06 Online:2023-09-20 Published:2023-10-31
  • About author:Xingxing LI, male, professor, majors in GNSS precise data processing and its application for geoscience. E-mail: xingxingli@whu.edu.cn
  • Supported by:
    National Key R&D Program of China(2021YFB2501102)

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.

Key words: Simultaneous Localization And Mapping (SLAM); integrated navigation; multi-sensor fusion