Shengxin Li

ORCID: 0000-0001-8742-4663
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Underwater Vehicles and Communication Systems
  • Indoor and Outdoor Localization Technologies
  • Underwater Acoustics Research
  • Manufacturing Process and Optimization
  • Target Tracking and Data Fusion in Sensor Networks
  • Spectroscopy and Chemometric Analyses
  • Welding Techniques and Residual Stresses
  • Advanced Vision and Imaging
  • Scheduling and Optimization Algorithms
  • Advanced Optical Network Technologies
  • Industrial Technology and Control Systems
  • Laser and Thermal Forming Techniques
  • Metaheuristic Optimization Algorithms Research
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Polymer Nanocomposites and Properties
  • Lubricants and Their Additives
  • Advanced Chemical Sensor Technologies
  • Water Systems and Optimization
  • Tribology and Wear Analysis
  • Advanced Computational Techniques and Applications
  • Software-Defined Networks and 5G
  • Robotics and Sensor-Based Localization
  • Teleoperation and Haptic Systems
  • Power Line Communications and Noise
  • Civil and Geotechnical Engineering Research

Beijing Electronic Science and Technology Institute
2023

Harbin Engineering University
2019-2022

East China Jiaotong University
2020

Research Institute of Petroleum Exploration and Development
2013

Beijing Jiaotong University
2012

Xiangnan University
2009-2012

China North Industries Group Corporation (China)
2012

Guangxi University
2006

This paper proposes a new quaternion calibration algorithm to calibrate large misalignment angles between Strapdown Inertial Navigation System (SINS) and Doppler Velocity Log (DVL) in SINS/DVL integrated navigation system. A SINS/DVL/GPS system is derived complete the SINS alignment calibration. Different from traditional model, are described by quaternion, according physical properties of angle scale factor error, measurement equation derived: zero observation vector used estimate angles,...

10.1109/jsen.2020.2988500 article EN IEEE Sensors Journal 2020-01-01

In this paper, an improved maximum correntropy cubature kalman filter(IMCCKF) is proposed to address the measurement outliers in cooperative localization(CL) of autonomous underwater vehicles (AUVs). The estimated performance filter(MCCKF) algorithm affected by kernel bandwidth(KB). selection value KB cannot be determined only experience practical CL AUVs, which will greatly reduce application MCCKF algorithm. adaptive factor constructed comparing trace size innovation matrix and quantity...

10.1109/jsen.2020.3006026 article EN IEEE Sensors Journal 2020-06-30

Acrylonitrile–butadiene rubber (NBR) is an important tribological material that often used in dynamic sealing pairs (as rubber/metal seal-pairs), but degrades prematurely because of thermal oxidation ageing. In this work, NBR seals were exposed to accelerated ageing atmosphere at different temperatures and time periods, the aged NBRs evaluated for their mechanical properties, behaviour, energy dissipation. The results showed has a substantial effect on properties. hardness bulk modulus...

10.1016/j.polymertesting.2020.106954 article EN cc-by-nc-nd Polymer Testing 2020-11-18

In this paper, a new cooperative localization (CL) method for multiple autonomous underwater vehicles (AUVs) is proposed to address the problem of measurement outliers and communication packet loss caused by harsh environment. Combining advantages both maximum correntropy criterion (MCC) adaptive neuro-fuzzy inference system (ANFIS), quality collected data can be improved MCC ANFIS better trained. The efficacy in CL AUVs verified lake trial. experimental results show that effectively obtain...

10.1109/access.2019.2913039 article EN cc-by-nc-nd IEEE Access 2019-01-01

To deal with the influence of abnormal underwater acoustic ranging errors in cooperative localization autonomous vehicles, a novel measurement information anomaly detection method based on adaptive neuro-fuzzy inference system (ANFIS) is proposed. The can accurately identify and isolate distance exceeding threshold range even when multiple alternately used as data for filtering algorithm. cubature Kalman filter to extract characteristic information, which better reflect change information....

10.1109/tim.2021.3077981 article EN IEEE Transactions on Instrumentation and Measurement 2021-01-01

To solve the effect of unreliable acoustic range measurements in cooperative localization autonomous underwater vehicles, a novel method is proposed by using hybrid metaheuristic algorithm that consists adaptive quantum-behaved particle swarm optimization (AQPSO) combined with genetic (GA) to train neurofuzzy inference system (ANFIS) model. The can predict ranging errors online, then correct measurements, and improve accuracy stability system. We first tested ability AQPSO-GA an open-source...

10.1109/tim.2022.3156997 article EN IEEE Transactions on Instrumentation and Measurement 2022-01-01

One key challenge of pose transfer lies in its large variation and occlusion. Existing methods are basically aimed at the migration a single input image. As result, these difficult to predict reasonable areas invisibility cannot decouple shape style clothing. Although method using image can generate results with correct structure, it keep original details In order tackle this challenge, we present two-stage generative model designed for multiple images. The initial stage involves Feature...

10.1109/cac59555.2023.10451598 article EN 2021 China Automation Congress (CAC) 2023-11-17
Coming Soon ...