A5088698302- Inertial Sensor and Navigation
- Target Tracking and Data Fusion in Sensor Networks
- Robotics and Sensor-Based Localization
- Indoor and Outdoor Localization Technologies
- Robotic Path Planning Algorithms
- GNSS positioning and interference
- Underwater Vehicles and Communication Systems
- UAV Applications and Optimization
- Astronomical Observations and Instrumentation
- Maritime Navigation and Safety
- Fault Detection and Control Systems
- Geophysics and Gravity Measurements
- Advanced Measurement and Metrology Techniques
- Simulation and Modeling Applications
- 3D Surveying and Cultural Heritage
- Advanced Image and Video Retrieval Techniques
- Space Satellite Systems and Control
- Optical Systems and Laser Technology
- Advanced Vision and Imaging
- Advanced Measurement and Detection Methods
- Advanced Computational Techniques and Applications
- Image Enhancement Techniques
- Air Traffic Management and Optimization
- Distributed Sensor Networks and Detection Algorithms
- Geophysics and Sensor Technology
Nanjing University of Aeronautics and Astronautics
2016-2025
Hubei University of Technology
2013-2024
China Southern Power Grid (China)
2024
Shantou University
2007-2022
Chinese Academy of Sciences
2019-2020
Academy of Opto-Electronics
2019
Institute of Information Engineering
2019
PLA Army Engineering University
2018
Beijing Satellite Navigation Center
2016
University of Southern California
2016
A fault-detection algorithm for a redundant multisensor navigation system hypersonic cruise vehicles (HCVs) is proposed. The comprehensively diagnoses failures according to the failure level monitored by sequential probability ratio test (SPRT) and chi-square as well trend SPRT. statistics feedback-reset loop also added shorten recovery time after ceases. Simulations indicate improvements in both detection speed, contributing improved accuracy stability HCV fault-tolerant navigation.
Indoor positioning is a thriving research area which slowly gaining market momentum. Its applications are mostly customised, ad hoc installations; ubiquitous analogous to GNSS for outdoors not available because of the lack generic platforms, widely accepted standards and interoperability protocols. In this context, Positioning Navigation (IPIN) competition only long-term, technically sound initiative monitor state art real systems by measuring their performance in realistic environment. Most...
A cooperative integrity monitoring (CIM) algorithm is proposed in this work. Under the CIM architecture, can fully exploit global navigation satellite system (GNSS) data and inter-vehicle measurements to improve detection isolation of faulty due multipath or non line sight (NLOS). Taking advantages scheme, a residual decomposition method used model measurement errors into common specific parts, greedy search strategy exclude based on its sub-statistics. Simulation results show that has...
With the development of artificial intelligence and brain science, brain-inspired navigation path planning has attracted widespread attention.In this paper, we present a place cell based algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, cells are characterized by leaky integrate-and-fire (LIF) neuron model. Then, connection weights between neurons trained spike-timing-dependent plasticity (STDP) learning rules. Afterwards, synaptic vector...
This work proposes a new cooperative architecture that using Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU) and vehicle-to-vehicle (V2V) observations to obtain robust accurate inter-vehicle state estimation. A cascade structure of relative filter which consists float estimator fixed is presented can take advantage both the multi-sensor data information from Least-squares ambiguity decorrelation adjustment (LAMBDA). Also, baseline estimation method based on...
This paper proposes a hybrid cooperative positioning (CP) algorithm suitable for vehicular network applications which can fuse the measurements from global navigation satellites, ground stations, signals of opportunity, inter-node ranging neighbouring vehicles and onboard inertial systems (INS). By applying framework generalized approximate message passing (GAMP), complex CP problem is transformed into an iterative yet lower computational load process. In each iteration, time recurrence...
Inertial Pedestrian Navigation Systems (IPNS) face challenges in practical applications due to inherent noise and bias instability of inertial sensor. To construct a high-precision, prior information-independent, low computational complexity inertial-based pedestrian navigation system, this article proposes the Magnetic Field Hybrid Map Simultaneous Localization Mapping (IMHM-SLAM) scheme. Firstly, improve system’s precision, IMHM-SLAM scheme utilizes maps represent passable areas within...
Abstract To address the limitations of six-degree-of-freedom (6-DOF) visual tracking systems in terms low dynamic performance and inability to perform measurements under light occlusion, this paper proposes a novel laser attitude measurement method integrating vision inertial unit (IMU). A tailored real-time calibration model is developed enable precise alignment IMU coordinate during operations. overcome extended Kalman filter (EKF) that rely on static noise assumptions complex scenarios,...
Purpose First, the head-direction cell model, using a continuous attractor neural network, integrates self-motion cues [e.g. information from inertial navigation systems (INS)] and external perception global satellite (GNSS)] to generate precise firing rates, which determine yaw angle. Second, three-dimensional periodic grid fusion model is proposed, designed efficiently integrate decoded angle, information. The encoded Gaussian function subsequently integrated into original as an additional...
Integrating celestial navigation system (CNS) and inertial (INS) is an effective way to realize autonomous for hypersonic cruise vehicles. In multi-stars synchronous observation, the error levels of starlight observations are not only changing with time, but also different from star star, which ignored by classic INS/CNS integrated navigation. this paper, a new tightly-coupled algorithm weighted proposed. Different method, model provides novel framework integration, enables direct fusion INS...
This paper provides a multi-hypothesis Gaussian belief propagation (MGBP) for radio ranging-based localization and mapping systems. To overcome the problem of lacking bearing information, MGBP is implemented via new modeled message passing process which can fully represent beacon uncertainties in factor graph. In addition, does not need an external estimator to initialize estimated states, shows more concise computational framework when compared with existing graph optimization methods....
Navigation plays an important role in the task execution of micro-unmanned aerial vehicle (UAV) swarm. The Cooperative (CN) method that fuses observation onboard sensors and relative information between UAVs is a research hotspot. Aiming at efficiency accuracy problems previous studies, this article proposes hybrid-CN for UAV swarm based on Factor Graph Kalman filter. A global used to combine Global Satellite System (GNSS) ranging provide position estimations modifying distributed filter;...
Objects detection and tracking using 3-D LiDAR has gained momentum lately while it not been extensively applied, the main challenge is that conventional mechanical expensive difficult for single sensor to obtain good performance over a long period of time. In this article, we propose multisensor fusion objects framework solid-state RGB camera. We use low-cost with irregular scan pattern universal clustering method which determines searching radius by laser density range. To improve overall...