Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Haoqian Huang"'
Publikováno v:
Micromachines, Vol 15, Iss 2, p 237 (2024)
The integration of micro-electro-mechanical system–inertial navigation systems (MEMS-INSs) with other autonomous navigation sensors, such as polarization compasses (PCs) and geomagnetic compasses, has been widely used to improve the navigation accu
Externí odkaz:
https://doaj.org/article/9f62c9e16864432195502e613701cb86
Publikováno v:
IEEE Access, Vol 8, Pp 118472-118484 (2020)
The ocean environment is complex and changeable because of all kinds of noise interferences, such as salt cliffs, ships around and other electromagnetic interferences, so the measurement information is prone to be lost. It is difficult to describe th
Externí odkaz:
https://doaj.org/article/b41c1e1f816e4364a945aa97e6924829
Autor:
Haoqian Huang, Jiaying Wei
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7113 (2022)
In this paper, an improved in-motion coarse alignment method is proposed for a strapdown inertial navigation system (SINS) using position loci obtained from the Global Positioning System (GPS). The difference from the popular coarse alignment methods
Externí odkaz:
https://doaj.org/article/95fdbc652ae84b0f8cf04c61aa6df786
Autor:
Haoqian Huang, Chao Jin
Publikováno v:
Complexity, Vol 2021 (2021)
In order to solve the problems of rapid path planning and effective obstacle avoidance for autonomous underwater vehicle (AUV) in 2D underwater environment, this paper proposes a path planning algorithm based on reinforcement learning mechanism and p
Externí odkaz:
https://doaj.org/article/76db971b60f24d26bd91ead9dded3477
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6663 (2022)
In various applications of automatic underwater vehicles (AUVs), it is necessary to acquire the real-time location and speed information of the AUV. However, the complicated and fluctuating marine environment leads to measurement information loss. Th
Externí odkaz:
https://doaj.org/article/b2e600251f9745a8a0035e45acd8cf01
Publikováno v:
IEEE Access, Vol 6, Pp 28755-28767 (2018)
In the complex underwater environment, the performance of microelectro-mechanical system sensors is degraded sharply and the errors will become much larger. Especially when the magnetic sensor is disturbed by the external magnetic interference, the m
Externí odkaz:
https://doaj.org/article/227eccd57c904bf6b727ef2990d7b62b
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7777 (2021)
The underwater environment is complex and changeable, and it is hard but irreplaceable to research the time-varying noises that have a significant influence on navigation information determination with higher accuracy. To solve the problems of the in
Externí odkaz:
https://doaj.org/article/430a15324bb44d638362fa43d20dd73f
Publikováno v:
IEEE Access, Vol 4, Pp 5695-5709 (2016)
High-accuracy attitude estimation plays an important role in gliding with long endurance for an underwater glider. Because microelectromechanical system (MEMS) inertial sensors have advantages, including small size and low power consumption, they are
Externí odkaz:
https://doaj.org/article/792610d835d24286a11465092936f583
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 23041-23066 (2014)
High accuracy attitude and position determination is very important for underwater gliders. The cross-coupling among three attitude angles (heading angle, pitch angle and roll angle) becomes more serious when pitch or roll motion occurs. This cross-c
Externí odkaz:
https://doaj.org/article/b33127c7de5242b48d516370736d48e4
Autor:
Yahui Peng, Xiaochen Liu, Chong Shen, Haoqian Huang, Donghua Zhao, Huiliang Cao, Xiaoting Guo
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2808 (2019)
Aiming at enhancing the accuracy and reliability of velocity calculation in vision navigation, an improved method is proposed in this paper. The method integrates Mask-R-CNN (Mask Region-based Convolutional Neural Network) and K-Means with the pyrami
Externí odkaz:
https://doaj.org/article/58a9ef8e97a64392bb9c8303b3da7897