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Literature review | Open Access

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

Xingxing LI1Xiaohong ZHANG1Xiaoji NIU1Jian WANG2Ling PEI3Fangwen YU4Hongjuan ZHANG1Cheng YANG5Zhouzheng GAO5Quan ZHANG1Feng ZHU1Weisong WEN6Tuan LI7,8Jianchi LIAO9Xin LI1
Shool of Geodesy and Gevmatics, Wuhan University, Wuhan 430074, China
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Shanghai Jiao Tong University, Shanghai 200052, China
Center for Brain-inspired Computing Research, Tsinghua University, Beijing 100084, China
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100084, China
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University,Hong Kong 900777, China
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China
Hubei Luojia Laboratory, Wuhan 430074, China
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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.

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Journal of Geodesy and Geoinformation Science
Pages 102-114
Cite this article:
LI X, ZHANG X, NIU X, et al. Progress and Achievements of Multi-sensor Fusion Navigation in China during 2019—2023. Journal of Geodesy and Geoinformation Science, 2023, 6(3): 102-114. https://doi.org/10.11947/j.JGGS.2023.0310

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Received: 06 August 2023
Accepted: 06 August 2023
Published: 20 September 2023
© 2023 Journal of Geodesy and Geoinformation Science
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