TY - JOUR
T1 - Progress and Achievements of Multi - sensor Fusion Navigation in China during 2019 — 2023
AU - Li, Xingxing
AU - Zhang, Xiaohong
AU - Niu, Xiaoji
AU - Wang, Jian
AU - Pel, Ling
AU - Yu, Fangwen
AU - Zhang, Hongjuan
AU - Yang, Cheng
AU - Gao, Zhouzheng
AU - Zhang, Quan
AU - Zhu, Feng
AU - Wen, Weisong
AU - Li, Tuan
AU - Liao, Jianchi
AU - Li, Xin
N1 - Publisher Copyright:
© 2021 Journal of Clinical and Diagnostic Research. All rights reserved.
PY - 2023/9/20
Y1 - 2023/9/20
N2 - 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.
AB - 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.
KW - integrated navigation
KW - multi-sensor fusion
KW - Simultaneous Localization And Mapping (SLAM)
UR - http://www.scopus.com/inward/record.url?scp=85183907780&partnerID=8YFLogxK
U2 - 10.11947/j.JGGS.2023.0310
DO - 10.11947/j.JGGS.2023.0310
M3 - Article
AN - SCOPUS:85183907780
SN - 2096-5990
VL - 6
SP - 102
EP - 114
JO - Journal of Geodesy and Geoinformation Science
JF - Journal of Geodesy and Geoinformation Science
IS - 3
ER -