A5061708005- Rheology and Fluid Dynamics Studies
- Textile materials and evaluations
- Injection Molding Process and Properties
- Composite Material Mechanics
- Underwater Vehicles and Communication Systems
- Robotics and Sensor-Based Localization
- Advanced Sensor and Energy Harvesting Materials
- Fluid Dynamics and Vibration Analysis
- Polymer Foaming and Composites
- Fluid Dynamics and Turbulent Flows
- Lattice Boltzmann Simulation Studies
- Epoxy Resin Curing Processes
- Enhanced Oil Recovery Techniques
- Dyeing and Modifying Textile Fibers
- Advanced Image and Video Retrieval Techniques
- Polymer crystallization and properties
- Numerical methods in engineering
- Innovations in Concrete and Construction Materials
- Indoor and Outdoor Localization Technologies
- Manufacturing Process and Optimization
- Robotic Path Planning Algorithms
- Thermoregulation and physiological responses
- Water Quality Monitoring Technologies
- Fashion and Cultural Textiles
- Maritime Navigation and Safety
Guangdong University of Finance
2025
Donghua University
2020-2024
Shenyang Institute of Automation
2009-2024
Longhua Hospital Shanghai University of Traditional Chinese Medicine
2024
Shanghai University of Traditional Chinese Medicine
2024
Chinese Academy of Sciences
2013-2023
China University of Petroleum, Beijing
2019-2023
Huazhong University of Science and Technology
2023
Institute of Automation
2020-2023
Hubei Provincial Women and Children's Hospital
2023
Simultaneous localization and mapping (SLAM) has been studied for decades in the field of robotics, which light detection ranging (LiDAR) is widely used various application areas benefiting from its accessibility direct, accurate, reliable 3-D measurements. However, performance LiDAR SLAM may be degraded when running degenerate scenario, makes it still a challenging problem to realize real-time, robust, accurate state estimation complex environments. In this article, we propose...
Pose graph optimization helps reduce drift accumulated in pure odometry of visual simultaneous localization and mapping (SLAM) systems by solving a nonlinear least square problem, including both sequential constraints loop-closing constraints. However, the covariances all are set to constant matrices or manual setting. In this paper, we propose novel approach approximate pose better represent true uncertainty underlying visual-inertial navigation system (VINS) that fuses inertial...
Traditional Lingnan gardens, one of the three major types Chinese garden design, have evolved over nearly a millennium, embodying distinctive craftsmanship and aesthetic sensibilities region. The architectural elements doors windows in these gardens serve as key expressions regional cultural identity. This study focuses on four renowned (e.g., Yuyin Garden Guangzhou, Liang Foshan, Qinghui Shunde, Ke Dongguan) primary case studies to examine typologies, decorative characteristics, qualities...
The aim of this work is to model the flow-enhanced crystallization and flow-induced morphological changes semi-crystalline materials during after shearing flow. A FENE-P dumbbell a rigid are used describe molecular chain conformation orientation evolution for amorphous phase phase, respectively. effect flow on considered by relating excess free energy kinetics. material couples back influence solidification rheology crystallizing system. An isotactic polypropylene as an example illustrate...
Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one the core technologies navigation, Simultaneous Localization Mapping (SLAM) has attracted widespread attention in recent decades. Based on vision or LiDAR sensors, great efforts have been devoted to achieving real-time SLAM that can support a robot’s state estimation. However, most mature methods generally work under assumption environment static, while dynamic environments they will yield...
To explore the association between serum lipids and occurrence development of endometriosis using a retrospective review clinical data. A total 177 patients who underwent laparoscopic or open surgery due to benign ovarian masses, 117 with (53 stage III 64 IV), 60 masses without were selected from gynecology department Maternal Child Health Hospital Hubei Province, January 1, 2020, October 30, 2022, search for by retrospectively analyzed data Risk factors relationship blood endometriosis. The...
Most image matching methods perform poorly when encountering large scale changes in images. To solve this problem, we propose a Scale-Difference-Aware Image Matching method (SDAIM) that reduces differences before local feature extraction, via resizing both images of an pair according to estimated ratio. In order accurately estimate the ratio for proposed SDAIM, Covisibility-Attention-Reinforced module (CVARM) and then design novel neural network, termed as Scale-Net, based on CVARM. The...