supported in part by the Doctoral Initiation Fund of Nanchang Hangkong University(No.EA202403107);Jiangxi Province Early Career Youth Science and Technology Talent Training Project(No.CK202403509).
This paper presents the design and ground verification for vision-based relative navigation systems of microsatellites,which offers a comprehensive hardware design solution and a robust experimental verification metho...
supported by the National Natural Science Foun-dation of China(61773358);Research Grants Council of the Hong Kong Special Administrative Region(RFS2324-1S03).
Affordable high-resolution cameras and state-of-the-art computer vision techniques have led to the emergence of various vision-based tactile sensors.However,current vision-based tactile sensors mainly depend on geomet...
The paper presents a fuzzy Q-learning(FQL)and optical flow-based autonomous navigation approach.The FQL method takes decisions in an unknown environment and without mapping,using motion information and through a reinf...
supported by the National Natural Science Foundation of China(52238011,52208456,and 52279145);the China National Postdoctoral Program for Innovative Talents(BX20220031);the Shenzhen Science and Technology Program(ZDSYS20210929115800001);the Shenzhen Major Science and Technology Program(KJZD20230923114310021)。
Vision-based digital shadowing is a highly efficient way to monitor the health of buildings in use.However,previous studies on digital shadowing have been limited to laboratory experiments.This paper proposes a novel ...
supported by the National Natural Science Foundation of China under Grant Nos.62033003,62203119,62373113,U23A20341,and U21A20522;the Natural Science Foundation of Guangdong Province under Grant Nos.2023A1515011527 and 2022A1515011506.
This paper discusses the uncooperative target tracking control problem for the unmanned aerial vehicle(UAV)under the performance constraint and scaled relative velocity constraint,in which the states of the uncooperat...
supported by the National Science Fund for Distinguished Young Scholars of China(52025056);the China Postdoctoral Science Foundation(2023M732789);the China Postdoctoral Innovative Talents Support Program(BX20230290);the Fundamental Research Funds for the Central Universities(xzy012022062).
Intelligent machinery fault diagnosis methods have been popularly and successfully developed in the past decades,and the vibration acceleration data collected by contact accelerometers have been widely investigated.In...
supported in part by National Natural Science Foundation of China under Grant No.61772050;,Beijing Municipal Natural Science Foundation under Grant No.4242053;Key Project of Science and Technology Innovation and Entrepreneurship of TDTEC(No.2022-TD-ZD004).
It is crucial to ensure workers wear safety helmets when working at a workplace with a high risk of safety accidents,such as construction sites and mine tunnels.Although existing methods can achieve helmet detection i...
the support of the National Natural Science Foundation of China(NSFC)(62076029);Guangdong provincial base platforms and major scientific research project:Research on Remote Large Facility Condition Monitoring Method Based on Motion Amplification(ZX-2021-040);Major Scientific and Technological Project in the Inner Mongolia Autonomous Region(2023YFSW0003);the Guangdong Basic and Applied Basic Research Fund Offshore Wind Power Scheme-General Project under Grant 2022A1515240042.
A slight uneven settlement of the foundation may cause the wind turbine to shake,tilt,or even collapse,so it is increasingly necessary to realize remote condition monitoring of the foundations.At present,the wind turb...
supported by the National Key R&D Program of China(Grant No.2018YFB1304600);the CAS Interdisciplinary Innovation Team(Grant No.JCTD-2018-11);the National Natural Science Foundation of China(Grant No.51775541)。
Aromatic hydrocarbons generally refer to compounds containing benzene rings.Many types of isomers can be formed by replacing hydrogen atoms on the benzene ring.In this paper,an aromatic-hydrocarbon-inspired modular ro...
The authors acknowledge the financial support provided by the National Natural Science Foundation of China(Grant No.52178151).
The statistical modeling of extraordinary loads on buildings has been stagnant for decades due to the laborious and error-prone nature of existing survey methods,such as questionnaires and verbal inquiries.This study ...