A5075284209- Inertial Sensor and Navigation
- Target Tracking and Data Fusion in Sensor Networks
- GNSS positioning and interference
- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Geophysics and Sensor Technology
- Robotics and Sensor-Based Localization
- Geophysics and Gravity Measurements
- Autonomous Vehicle Technology and Safety
- UAV Applications and Optimization
- Sensor Technology and Measurement Systems
- Robotic Path Planning Algorithms
- 3D Surveying and Cultural Heritage
- Advanced Fiber Optic Sensors
- Bone health and treatments
- Thyroid Disorders and Treatments
- Fault Detection and Control Systems
- Space Satellite Systems and Control
- Astronomical Observations and Instrumentation
- Growth Hormone and Insulin-like Growth Factors
- Human-Automation Interaction and Safety
National University of Defense Technology
2021-2025
Southern Medical University Shenzhen Hospital
2024
Clinical Trial Investigators
2023
RELX Group (Netherlands)
2023
Abstract In the integrated navigation system using extended Kalman filter (EKF), state error conventionally uses linear approximation to tackle commonly nonlinear problem. However, this definition can diverge in some adverse situations due significant distortion of approximation. By contrast, defined Lie group satisfies autonomous equation, which thus has distinctively better convergence property. This work proposes a novel strapdown inertial (SINS) and derives SINS equations EKF (LG-EKF)...
Taro (Colocasia esculenta (L.) Schott) is the fifth largest rhizome crop, and it widely distributed in tropical subtropical areas world. Vegetative propagation with virus-infected corms can lead to cultivar degradation, yield decline, quality deterioration. In this study, shoot apical meristems excised from taro infected dasheen mosaic virus, which belongs genus Potyvirus family Potyviridae, were cultured treated exogenous abscisic acid high sucrose concentrations induce micro-corm...
Accurate and robust localization is a fundamental need for mobile agents. Visual–inertial odometry (VIO) algorithms exploit the information from camera inertial sensors to estimate position translation. Recent deep-learning-based VIO models attract attention as they provide pose in data-driven way, without of designing hand-crafted algorithms. Existing learning-based rely on recurrent fuse multimodal data process sensor signals, which are hard train not efficient enough. We propose novel...
Autonomous land navigation has been studied extensively in recent years to improve vehicle location accuracy the satellite-denial environment. However, many previous studies of SINS/ODO integrated mainly focus on horizontal and neglect height positioning since troublesome problem vertical channel divergency without extra information assistance. By contrast, this paper considered both by SINS/ODO/LDV based integration framework proposed a novel algorithm named Schmidt ST-EKF which takes...
With the rapid development of unmanned ground vehicle industry, how to achieve continuous, reliable, and high-accuracy navigation becomes very important. At present, integrated with global satellite system strapdown inertial is most mature effective technology for vehicle. However, this technique depends on signal accuracy system. When receiver cannot capture four or more signals a long time completely invalid, it provide accurate positioning information Therefore, article combine...
<h3>Abstract</h3> This paper focuses on a heterogeneous redundant inertial navigation system (INS) that consists of one three-axis rotation-modulation fiber optic gyroscope (FOG) INS and strapdown ring laser (RLG) INS. A novel co-calibration method is proposed to estimate the FOG scale factor instability RLG bias error in real time, which geometric constraints FOG-INS rotating axis are deployed establish observation equation without external reference information. In addition, has global...
High accuracy in-motion alignment and integrated navigation with assistant of body-velocity is a nonlinear state estimation problem as existence attitude. The Extended Kalman filter (EKF) frequently used tool but criticized for its inconsistency especially large initial misalignment angle, which hinders the improvement accuracy. This paper proposes backtracking framework using enhanced Lie group (LG-EKF-w) to replace troublesome EKF. LG-EKF-w captures nature 3-dimension rigid body motion,...
Thyroid hormones have actions on cartilage, whereas the association between thyroid hormone related diseases and osteoarthritis (OA) are unclear. This study aims to investigate thyrotoxicosis OA.
In this study, a fast transfer alignment algorithm that fuses the velocity-attitude-position of Master-Slave INS is proposed. A state-transformation extended Kalman filter (ST-EKF) with better filtering robustness used instead conventional (EKF) for INS. The accuracy proposed verified by three sets on-board field experiments under different maneuvering trajectories. results show ST -EKF -based has higher and faster convergence speed, 180s localization RMSE ST-EKF improved 23.29% on average...
The strapdown inertial navigation system (SINS), global satellite (GNSS) and odometer (OD) integrated is one of the most common effective methods for land vehicles. However, in complex environment where GNSS signals are degraded, such as urban tunnels forest canyons, accuracy this algorithm largely deteriorated. In order to improve self-contained ability vehicles GNSS-Denied environments, study uses state transformation Kalman filter (ST-EKF) with better filtering robustness replace...
Strapdown Inertial Navigation System (SINS) and odometer (ODO) are both autonomic devices. The SINS/ODO integrated navigation is a useful method in land positioning orientation applications. Especially for the global system signal denial (GNSS-denial) battlefield, optical gyroscope fully capable of long-distance high-precision due to its autonomy. However, uneven distribution earth mass, there exists discrepancy between gravity vector calculated by traditional model real vector, that is,...