Zobrazeno 1 - 10
of 418
pro vyhledávání: '"GUO Chi"'
Publikováno v:
Sensors, Vol 23, Iss 11, p 5295 (2023)
Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning. However, with the higher complexity of aircraft, some traditional diagnosis methods that rely on experience are becoming less effective. Therefore, this paper ex
Externí odkaz:
https://doaj.org/article/ae77bcf57c334899824ba58e75660a70
Pose estimation is a crucial problem in simultaneous localization and mapping (SLAM). However, developing a robust and consistent state estimator remains a significant challenge, as the traditional extended Kalman filter (EKF) struggles to handle the
Externí odkaz:
http://arxiv.org/abs/2409.06948
The traditional visual-inertial SLAM system often struggles with stability under low-light or motion-blur conditions, leading to potential lost of trajectory tracking. High accuracy and robustness are essential for the long-term and stable localizati
Externí odkaz:
http://arxiv.org/abs/2407.21348
Publikováno v:
In Neurocomputing 1 December 2024 608
Autor:
Li, Mengli, Guo, Yue, Yuan, Chunhao, Li, Jiaming, Guo, Chi, Zhang, Jiuyang, Wang, Xizhang, Wang, Jinlan, Wang, John, Hu, Zheng, Chen, Yunfei, Lyu, Zhiyang
Publikováno v:
In Nano Energy November 2024 130
Publikováno v:
In Information Fusion January 2025 113
This paper proposes a unified mathematical framework for inertial measurement unit (IMU) preintegration in inertial-aided navigation system in different frames under different motion condition. The navigation state is precisely discretized as three p
Externí odkaz:
http://arxiv.org/abs/2111.09100
Autor:
Guo, Chi, Guo, Yaqing, Yao, Shuhao, Tao, Runming, Liu, Xiaolang, Wang, Jianxing, Li, Haifeng, Li, Huiying, Hong, Chang, Geng, Jiazhi, Sun, Xiao-Guang, Li, Jianlin, Liang, Jiyuan
Publikováno v:
In Energy Storage Materials August 2024 71
Publikováno v:
In Pattern Recognition April 2024 148
This paper proposes a equivariant filtering (EqF) framework for the inertial-integrated state estimation problem. As the kinematic system of the inertial-integrated navigation can be naturally modeling on the matrix Lie group $SE_2(3)$, the symmetry
Externí odkaz:
http://arxiv.org/abs/2103.14873